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Machine Learning Assignment Help India

Realcode4you have an excellent team of Machine Learning experts offer assistance for Machine Learning Assignment Help & Machine Learning Homework Help.

Send your assignments at realcode4you@gmail.com for instant help or speak to us on the website chat.

Hire the Top Rated Machine Learning Developers and Programmers

Experience in data science and product development, especially focusing on product, project, and process management. With a strong data background, his focus has been on finding the right balance between the key value-add features and cost-effective solutions. Realcode4you provide full-stack data scientist with strong development skills, allowing him to handle model design, data collection, and final implementation of software. He has a strong background in statistics, machine learning, business, computer science, and predictive modeling of big data sets. Our expert can adapt to any technology, methodology, or environment. Able to build full-stack applications from scratch or step right in to critical issues, he's eager to develop and implement unique and cutting-edge solutions with a keen eye for the important details.

Why Realcode4you?

We are a Noida (India) base academic Programming Project or homework helper organization . We are more than 22 expert  team from various Programming Languages, who have more than 5 years  of experience in their respective languages. We are capable of solving different kinds of coursework assignments as our writers have been in this field for almost Five years. So we can say that with this experience we are capable enough to provide you quality work with plagiarism and grammatical report. We are looking for a genuine client with whom we can provide the benefit of our service by doing business collaboration.

 

We are Dealing With the Following

E-commerce Projects | Engineering Programming Projects | Technical projects | Web Projects | Machine learning Projects | Research Projects | Mathematical Projects | Statistical Projects | Proposal Writing Projects | Data Analysis Projects | Data Visualization Projects | Data Management Projects | Microsoft Excel, PowerPoint, Word Projects | Ms Access Projects | Data Science Projects | Deep Learning Projects, and more others.

 

And We also Handle Following Software Works:

MATLAB  | Python | Java | C, C++, C# |  Power BI, Tableau and Rapid Miner| Big Data | PHP | ASP .NET | React JS | Node Js | Angular | Android | React Native | HTML, Java Script, CSS | SQL | Jupyter Notebook | R Studio | Google Colab, etc.

Along with this, we have also experts available for Master Dissertations, Articles, and Essay writing. We provide all kinds of domain writing under a single roof.  

We are providing the portfolio and sample assignment of our previous work. 

Why You Hire Realcode4you Machine Learning Expert

Reliable Machine Learning Programming Assignment Help

Machine learning and Data Science homework can be a challenge for students at every level. Students and professionals face challenges if not have an expertise, especially in these challenging times. At this challenging time if you looking to the expert that can help you to do your machine learning and data science projects then Realcode4you Machine Learning team help you. Machine learning and Data Science homework help is available! If you are in college or university and find yourself unable to complete your machine learning and Data Science homework, our service provides assistance to take care of all your homework problems. Our customized machine learning and Data Science homework solutions provide you with the machine learning and Data Science help that you need. Let us show you what we can do for you and how you can easily get machine learning and Data Science assignment help online.

Here you can hire best and experienced Machine Learning and Data Science experts.

We Creating Quality Projects For Students and Business

Realcode4you team goal is to help students and professionals so that he can  achieve their goals, and to do so we create machine learning projects for students like you. If you get and assignments and projects from any online courses or  when you receive a machine learning and data science assignment from any universities that is related to any countries like US, UK, Canada, Australia, Singapore, Russia or any others  and ask for our help, we provide a professional coder who has the skills and knowledge to develop the most appropriate solution to your machine learning problems. Realcode4you machine learning and Data Science homework help services are designed to take any basic to advance level projects which is related to Deep Learning or AI. Realcode4you experts will review your assignment carefully and work as per your given instructions to achieve good grade. Our coders and experts are required to deliver only quality of work, that means that you can rest assured with completely free from plagiarism or copy paste from any online resources. 

Here you can hire best and experienced Machine Learning and Data Science experts.

Get Machine Learning Assignment Help from Experts

When you’re ready to place your order for Machine Learning or Data Science help, we are always ready to assist you. We have a dedicated and experienced team of experts who are standing by to complete your projects and assignments. Our experts team have good skills and specialization to handle your machine learning and data science projects. If you need any extra support and guidance to succeed then we can help you. We want you to feel safe and confident through the whole process, your all information if confidential with us. That’s why we never sell your information to any third party, guarantee your privacy, and offer unlimited revision and refund policy. 

Who Are The Experts and Who Help Me Do My Machine Learning Assignment?

Our cohesive team of Machine Learning assignment experts consists of:

  • Experienced web developers, programmers and software engineers working with leading IT companies that provide top rated Machine Learning Assignment Help, Machine Learning Homework Help and Machine Learning Project Help and Machine Learning Web Development Project Help in basic to advance level.

  • PhD qualified experts who have several years of experience so you will get quality of work in your Machine Learning Programming Assignment and Homework.

  • Former professors of acclaimed universities including National University of Singapore, Columbia University, University of Melbourne, Australian National University, etc

Our scholars can provide you any kind of Machine Learning assignment related support. Therefore, you should stop wondering, “Who can help me do my Machine Learning Programming assignment” and seek assistance from our seasoned writers.

If you are dealing with a complicated topic and thinking, “Can anyone solve my Machine Learning Programming assignment”, then you can also consult our experts. No matter how complex your topic is, they can assist you.

If you have the query, “Can realcode4you.com experts write or draft my all types of Machine Learning Programming assignments”, then the answer is yes. Our writers can provide Machine Learning Programming assignment help for all types of academic papers. Most importantly, our tutors are well-acquainted with all the assignment related guidelines provided by top universities across the world.

Assignment Writing Service By Top Writers

If you want to find a reliable writer for your writing assignments, you will be able to enjoy all the benefits that assignment services have to offer by Realcode4you.com top rated writers.

 

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If you want to find a best online help company, then you can tick our website.

Machine Learning Assignment Help & Machine Learning Homework Help

If you are looking to hire expert machine learning expert and professionals for Machine Learning Assignment Help  & Machine Learning Homework Help then you face challenge to get experienced and top rated expert which can easily complete your task. Realcode4you provide top notches and unique solution with full one-to-one live support if required after code delivery. Realcode4you is the top rated and one of the best website, when you search on google you get many website available that offers online assignment help. These are offers all online services but not have specialization in any unique subject. Relacode4you team specially provide coding related help. Our machine learning Assignment help team covers all machine learning Assignment help topics which is related to programming & web applications. Realcode4you machine learning assignment Help expert offers fair prices compare to other online machine learning assignment help services. Here you directly interact with our expert and professionals to clarify your requirement so that you get exact result as per your given requirement. We are machine learning assignment help for all beginners to advance level. 

How to Learn ML and Data Science

  1. Get a hold over the language to be used for implementation – practice the basics till you are comfortable.

  2. Understand and implement one algorithm at a time. You may not understand it completely in the beginning. Give it time. Do not get stuck at one place. Try something else and come back later. Get the intuition of what is going on behind the few lines of code written to implement it. With practice things will keep getting clearer. Keep reading about it from multiple sources.

  3. Go through the quick learning videos from YouTube or other online resources.

  4. Join or purchase any online courses that available in reasonable price, or get materials from our team. We are also providing good materials that help to learn basic to advance data science. You can contact us at realcode4you@gmail.com or call us at given number(Contact details on website menu).

  5. Make extensive notes when trying to understand / watching videos  – it helps with internalizing the information as well as with the review.

  6. Understand limitations of each algorithm, if any.

  7. Understand the usual application areas of each of the algorithms and why are they used there.

  8. Try understanding how these algorithms differ from each other. Using a single problem statement and solving it using different applicable algorithms should help here.

  9. Remember, the algorithms are just tools to solve problems. Don’t lose sight of the main problem statement during implementation.

  10. Many times, simple implementations are good enough. Build a simple solution first quickly and then iterate - you may want to try different features, tuning the parameters and hyperparameters, different algorithms, stacking different algorithms together and so on. Make sure you try one thing at a time and not everything together since you would want to know what change made the algorithm(s) better or worse.

  11. Explain what you have done to one person who knows about the algorithms in technical terms and to another who does not know the algorithms per se but can follow the problem and its solution logically. Gaps in understanding are best understood when explaining to others.

  12. Learning is an iterative process – your first implementation may not be the best. It can be made better over time. Please be patient.

Machine Learning and Data Science Engineer – Scope of Work In Future

 

Realcode4you Machine Learning Experts and Data Scientists can help develop the best ML models by creating a winning AI strategy for your company. Below the description of Machine Learning engineer jobs include various tasks and responsibilities.

  • Design the solution architectures for ML Applications

  • Research and implementation of ML algorithms and thesis without any plagiarism

  • Develop Machine Learning applications as per customer need

  • Data Analysis with right and clean visuals

  • Identify and fix the issues

  • Help to deploy machine Learning models

Some Important Areas Where Machine Learning and Data Science Is Applied

 

Facebook: Machine learning and data science used in Facebook to quick search and identify and remove misleading stories from Facebook Feed. It used to improve our products and services. We develop and advance algorithms that rank feeds

 

Business intelligence: Today, machine learning used in business intelligence for business growth. It used to extract meaningful patterns from huge amounts of data. There are many business intelligence tools that are used to analyse the data.

 

Customer relationship management: CRM provide many functionalities to make the customer happy. Below are some features that makes CRM better:

  • Contact management

  • Track interactions

  • Scheduling/reminders

  • Pipeline

  • Sales Automation

  • Central Database

  • Email Marketing

  • Customization

  • Reporting/Analytics

  • Integration

  • Lead Generation

 

Self-driving cars: Now a day’s top auto and vehicles companies used the concept of machine learning and AI to design self-driving cars. It easily identifies a visible object and direction and inform the driver.

Machine learning algorithms are also used in semi-autonomous vehicles to identify a partially visible object and inform the driver.

 

Virtual assistants:  Machine learning models are used to understand natural speech and supply context. Now a day there are many applications used the virtual assistant’s concept like; Alexa.

 

What Specifications Machine Learning Experts Should Have

If you want to become a machine learning experts then need to have some specifications. If you are beginners and not know anything related machine learning and data science, then don’t worry. Realcode4you.com expert team help you to became a machine learning experts. Below the some specifications that are required to became the ML Expert.

  • Knowledge of basic algorithms.

  • Learn Machine learning algorithms and libraries

  • Basic knowledge of Data modeling and evaluation

  • Basic knowledge of Knowledge of statistics and probability

  • At least one machine learning area certifications.

  • Have a knowledge of programming OOPs.

  • At least one programming knowledge from Python, R or MATLAB

Cloudera QuickStart VM Big Data Assignment Help

This is simple Cloudera’s Big Data platform.  If you need help in any big data which is related to Map-Reduce.

These are free for personal use, but do require you to register your details on the
Cloudera website prior to download. Remember to check your system meets the minimum
requirements.

Below the basic requirement to install the cloudera in machine:

  1. A virtual machine such as Oracle Virtual Box or VMWare

  2. RAM of 12+ GB. That is 4+ GB for the operating system and 8+ GB for Cloudera

  3. 80GB hard disk

Complete Installation guide you can get from below link:

https://ugc.futurelearn.com/uploads/files/3c/c9/3cc92360-1155-4eee-8d59-4c7c0e3d192c/Instructions_Installing_Cloudera.pdf

Analyze Big Data Using Cloudera Quick Start VM.jpg

Google Colab Code Implementation Help

Realcode4you Machine Learning and Data Science Project and assignment help team has the deep knowledge to implementing the code using Google Colab. If you not familiar with Google Colab then no worry about it. Realcode4you Machine Learning & Data Science expert team help you and give proper support by 24/7. If you has basic knowledge about Jupyter Notebook Editor then it like a piece of Cake. In Google Colab you can easily import jupyter code and dataset file. it support GPUs so you can train dataset fask compare to Jupyter notebook.

  • Realcode4you Expert team help to configure and  upload dataset from drive

  • If face issue to mount drive then hire Realcode4you experts

  • Get help to write code using Google colab

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Github Repository Code Implementation Help

Realcode4you Machine Learning and Data Science Project and assignment help team also help you to implementing the code into the your Github repository. Hire Realcode4you machine learning expert that can help you to write and run code using Github. Now a days all tech industries or firms put your whole code in GitHub then can easily access or implemented by single person or team. "Millions of developers and companies build, ship, and maintain their software on GitHub—the largest and most advanced development platform in the world." 

Realcode4you Expert Team Help to:

Installing Software: If you are begineers and not familiar with Github then our team provide complete help to installing the software

To Write Code: Get complete support to write code and comment in git hub that can make code better for understanding

How to make a team: GitHub support many features which makes it better. Here you can create own team that can write code from each end. Here code save after implementing from any team member end site. 

Hire top rated and experienced machine learning and data science expert that can implement your code in your GitHub Repository with proper coding format with comments. You need to send your requirement details at: realcode4you@gmail.com

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Master Thesis Code Implementation and Research Paper Writing Help

Thesis writing need deep knowledge in any specific areas. We are providing thesis writing help which is related  to research papers. Realcode4you expert provide good format thesis writing as per your academic requirement with below 10 percent plagiarism issue. Realcode4you is offering thesis writing services for all Masters and PHD researchers. Here we fulfil all necessary factors like introduction, data collection, data analysis and conclusion. We are creating fully customised and genuine thesis writing services for all scholars and universities.

Hire top rated and experienced machine learning and data science expert that can help to writing research paer with complete code implementation. For more details you can send your query at: realcode4you@gmail.com or contact us at: +91 82 67 81 38 69

Feature Engineering Code Implementation Help

This is the process of altering data. We we select specific features hat can help to increase the models efficiency. There are some steps which are used to implement machien learning task; 

  • Gathering data.

  • Cleaning data.

  • Feature engineering.

  • Defining model.

  • Training, testing model and predicting the output.

Some words that are written by experienced machine learning experts; Much of the success of machine learning is actually success in engineering features that a learner can understand.

Feature engineering is the process of transforming raw data into features that better represent the underlying problem to the predictive models, resulting in improved model accuracy on unseen data.

Data Bricks Assignment Help

Now a days data is increases day by day  so that data scientist face the problem to run the large size data which need to implement using Spark. Data bricks is a data engineering tool that are used by companies to process and transform by large quantity of data. 

Databricks includes a variety of datasets within the Workspace that you can use to learn Spark or test out algorithms. You’ll see these throughout the getting started guide. The datasets are available in the /databricks-datasets folder

If you need any help or support related to data bricks project then no need to worry about it. Realcode4you data bricks expert help to run the code on this.

OpenCV Assignment & Project Help

If you are looking to hire expert OpenCV expert and professionals for OpenCV Assignment Help  & OpenCV Homework Help then you face challenge to get experienced and top notch expert which can easily complete your task. Realcode4you provide top notches and unique solution with full one-to-one live support if required after code delivery. We are providing complete OpenCV Project help and Homework Help. Our expert help in all OpenCV related topics like; Reading and writing images, Capturing and saving images, Filtering, transforming, and general processing of images, Performing feature detection, Image detection, Analyzing videos.

Hire our OpenCV expert to get instant help. Here you get code implementation through scratch or with inbuilt libraries

Image Processing Assignment & Project Help

Our Machine Learning Expert Provide Image Processing Assignment help & Image Processing homework help. Our expert are able to do your Image Processing homework assignments at bachelors , masters & the research level. Here you can get top quality code and report at any basic to advanced level. We are solve lots of projects and papers related to Image Processing and Machine Learning research paper so you can get code with more experienced expert. Realcode4you has the excellent team of image processing experts that can handle both academics or professionals projects.

Hire Us to get instant help in any image processing related task.

Research Paper Writing Help With Code Implementation

If you are studying in Master Program or join the research program related to PHD then don't worry, we have group of experienced PHD researchers and masters. Here you can hire expert for for long term or short term projects that can help you to your final submission. After final delivery if you need any support related to code explanation or research paper writing then you can pay little bit extra quote to get support. 

  • 2k+ Research Projects Completed

  • Research Paper Support

  • Free Editing Service 

  • 20+ Research Paper Writers Online

Feel free to ask any query at any time. 

Machine Learning Interface Development Using  Tkinter and Flask

If you need interface in machine learning using Tkinter or Python Flask then here we also have expert that can help you to create GUI based application to predict the machine learning model. Now a days most of industries working on web applications to create machine learning models. Realcode4you expert team successfully delivered more then 300+ machine learning interface applications. 

Hire us to get instant help with an affordable price.

Machine Learning Rapid Miner, Tableau & Power BI  Assignment and Project Help

Data  visualization is also important for machine learning or data science projects. Without data EDA no one can understand data analysis task easily. Data visualization makes it easy for both technical and non-technical person. At realcode4you.com you can get all data visualization tools related help. We are group of Rapid Miner, Tableau and Power BI experts that can handle basic to advance level task with proper explaination doc so you can understand work flow easily.

Machine Learning Code Implementation  Using Scratch

Their are many websites available online that provide services related to machine learning assignment help, machine learning homework help and machine learning project help. Most of website from these not provide help related to specific domain. They working with multiple subjects but not have knowledge in specific fields. Realcode4you.com is the group of top coders that have knowledge in our related fields. We are only providing coding related help. If you need code from scratch without any libraries like pandas, numpy, sklearn, etc then don't worry. Realcode4you provide code fully functional using scratch. 

Machine Learning Segmentation Assignment help

It is the process of separating your data into different groups. There are number of ways to create segments but the most common is to use a clustering techniques. There are two commonly used clustering techniques are k-means and hierarchical clustering. Realcode4you.com machine learning assignment help expert covers all topics related to segmentation. Hire expert and get instant help. 

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SweetViz Visualization Help – EDA in Seconds

EDA is the data visualization process where multiple techniques are used to understand the data. It used to identify a error, missing values, null values, unknown values(like ?, etc) or outliers. It extracts and visualize the information of useful variables and removes useless variables. It also used to understand the relationship between variables or features.

SweetViz is an open-source Python library that generates beautiful, high-density visualizations. Output of this is generate in fully contained HTML format. Here we can quickly visualizing target values and comparing datasets. Its goal is to help quick analysis of target characteristics, training vs testing data, and other such data characterization tasks.

 

Realcode4you.com expert has the excellent team of data visualization experts and professionals. Here you get complete solution of all types of EDA related task. 

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Machine Learning Statistics Assignment Help

We are providing machine learning statistics assignment help. Statistics is the most useful subject which used in most of programming areas related to Machine Learning and Data Science. Here you get instant help with statistical problems. Our expert analyze and interpret data to write the report to complete your project. Realcode4you expert team cover all the topics that are related to Machine Learning Statistics.

Here you can see some sample questions that are related to statistics and machine learning:

 

a) A vote with outcome for or against follows a Bernoulli distribution where P(vote = "for") = 0.27. Represent the proportion of “for” and “against” in this single Bernoulli trial using a graphics and a percentage. Can an expectation be calculated? Justify your answer.

 

b) The number of meteorites falling on an ocean in a given year can be modelled by a Poisson distribution with an expectation of λ = 37. Explain why a Poisson distribution is a natural candidate for this phenomenon. Give a graphic showing the probability of one, two, three...

meteorites falling (until the probability is less than 0.5%). Calculate the median and variance and show them graphically on this graphic.

 

We are also providing other advance Statistics problem solution using machine learning. Hire Realcode4you.com expert and get instant help with an affordable price.

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Master's Dissertation Coding and Writing Services

Realcode4you.com offers Master's Dissertation Coding and Writing Services which is related to all programming languages (Machine Learning, Data Science, Python, R, Matlab and more others). When you are pursuing your master degree then you get many Master Dissertation Coding and Writing Services.

We are complete your task as per your research standard in IEEE and APA format. If you are stuck in any Dissertation project, then you can reach us. Here you get top rated expert which already completed masters and PHD and has more than 5+ years industries experience. We are also offering affordable price compare to the other online resources. We are always deliver plagiarism free work.

Basic Structure to write Dissertation Report

  • ABSTRACT

  • INTRODUCTION

  • LITERATURE REVIEW

  • Project Topics Description

  • METHODOLOGY

  • Model Description and Evaluation

  • Conclusion

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Data Analysis Tools In Which You Can Get Help

Microsoft Power BI

Microsoft Power BI is a top business intelligence platform with support for dozens of data sources. It allows users to create and share reports, visualizations, and dashboards. Users can combine a group of dashboards and reports into a Power BI app for simple distribution. Power BI also allows users to build automated machine learning models and integrates with Azure Machine Learning.

Tableau

Tableau is a data visualization and analytics platform that allows users to create reports and share them across desktop and mobile platforms, within a browser, or embedded in an application. It can run on the cloud or on-premises. 

Jupyter Notebook

Jupyter Notebook is a free, open source web application that can be run in a browser or on desktop platforms after installation using the Anaconda platform or Python’s package manager, pip. It allows developers to create reports with data and visualizations from live code. The system supports more than 40 programming languages.

RapidMiner

RapidMiner provides all the technology users need to integrate, clean, and transform data before they run predictive analytics and statistical models. Users can perform nearly all of this through a simple graphical interface. RapidMiner can also be extended using R and Python scripts, and numerous third-party plugins are available through the company's marketplace.

R

R is an open source programming language and computing environment with a focus on statistics and graphical data visualization. R features numerous graphical tools and over 15,000 open source packages available, including many for loading, manipulating, modeling, and visualizing data.

Python

Python is an open source, high-level programming language that's often used by technical analysts and data scientists. It now boasts more worldwide developers than Java and has more than 200,000 available packages.

Excel

Microsoft Excel is the most common tool used for manipulating spreadsheets and building analyses. With decades of development behind it, Excel can support almost any standard analytics workflow and is extendable through its native programming language, Visual Basic.

Oracle Analytics Cloud

Oracle Analytics Cloud is a suite of cloud business intelligence and analytics applications. It's focused on helping large enterprises transition their legacy systems to a modern cloud platform.

Google Data Studio

Google Data Studio is a free dashboarding and data visualization tool that automatically integrates with most other Google applications, such as Google Analytics, Google Ads, and Google BigQuery. Thanks to its integration with other Google services, Data Studio is great fortkur those who need to analyze their Google data. 

Research Paper Writing Help, Master thesis Writing Help and

Master Dissertation Help

Realcode4you.com has the excellent team to write your research paper related to Master Program. Here we have write research paper in all report writing standard format like APA7, IEEE and simple word document file.

Why you choose Realcode4you.com expert team to write the research paper:

  • Below 10 percent plagiarism issue as per research standard

  • Experts has ability to write long report(up to 10k words)

  • Experienced expert in related domain

  • Deliver More than 1k research paper without any issues

  • Cheap price compare to other resources

  • Ability to write implementation from scratch

Below the some sample of research papers that successfully completed by our experts in last year.

Research Paper Format that followed by Experts

Abstract—These instructions give you guidelines for preparing papers for your research project. Use this document as a template if you are using Microsoft Word or later. Paper titles should be written in uppercase and lowercase letters, not all uppercase. Full names of authors are preferred in the author field. Put a space between authors’ initials. Do not cite references in the abstract. Do not delete the blank line immediately above the abstract; it sets the footnote at the bottom of this column.
Keywords—Enter key words or phrases in alphabetical order, separated by commas.

I. INTRODUCTION

Your should place your introduction in this section.

II. LITERATURE REVIEW

Type your literature review in this section. Please define abbreviations and acronyms the first time they are used in the text, even after they have already been defined in the abstract.

III. METHODOLOGY

Type your methodology here.

IV. EMPIRICAL RESULTS AND ANALYSIS

Present and analyze your empirical results here.

V. CONCLUSION

A conclusion section is required. Although a conclusion may review the main points of the paper, do not replicate the abstract as the conclusion. A conclusion might elaborate on the importance of the work or suggest applications and extensions.

 

APPENDIX

Appendixes, if needed, appear before the acknowledgment.

ACKNOWLEDGMENT

Here you can give special thanks to those who assisted you.

 

REFERENCES

All references should be cited in text and listed below. Please use the Harvard, Chicago or APA referencing styles.

Hire Reinforcement Learning Expert

Reinforcement Learning is the technique of machine learning that train the the models to take the sequence of action. Realcode4you.com expert team has the deep knowledge in all Reinforcement Learning problems.

 

The main goal is long-term, such as game-playing, robotics, etc.

 

In this the agent continues doing these three things (take action, change state/remain in the same state, and get feedback), and by doing these actions, he learns and explores the environment.

 

Sample Project Description

For the fifth and final programming assignment, you will implement a reinforcement learner and apply it to the racetrack problem. The racetrack problem is a popular control problem, often used in reinforcement learning assignments. The goal is to control the movement of a race car along a pre-defined racetrack. You want your race car to get from the starting line to the finish line in a minimum amount of time. In this version of the problem, your agent will be the only racer on the track, so it is more like a time trial than a full competitive race. More formally, at each time step, the state of the agent can be encoded in four variables: xt and yt are the x and y coordinates corresponding to the location of the car at time step t (we treat the racetrack as being laid out on a Cartesian grid). The variables vx = ˙xt and vy = ˙yt represent the x and y components of the car’s velocity at time t (note that x˙ denotes the first derivative of x with respect to time). The control variables for the car are ax = ¨x and ay = ¨y, which represent the x and y components of an acceleration vector to be applied at the current time step (note that x¨ denotes the second derivative of x with respect to time). The system is governed by an approximation of the standard laws of kinematics:

 

xt ≡ x position

yt ≡ y position

vxt = ˙xt = xt − xt−1 ≡ x speed

vyt = ˙yt = yt − yt−1 ≡ y speed

axt = ¨xt = ˙xt − x˙ t−1 ≡ x acceleration

ayt = ¨yy = ˙yt − y˙t−1 ≡ y acceleration

Get Help In Applied AI 

Realcode4you.com top rated expert and professional team provide all AI related problem solution with an affordable price. If you are looking any help in Applied AI then contact us. 

Applied AI Topics In Which You Can Get Help:

1. Feedforward neural nets with hyperparameter optimisation: this project will implement a feedforward neural network for a dataset of choice and experiment systematically with a number of hyperparameter configurations, e.g. the learning rate, batch size, number of hidden units, layers, etc. The project will need to explore systematic approaches for hyperparameter optimisation such as random or grid optimisation or genetic algorithms. Note that the specifics will not be taught directly, you’ll need to research and find out how to implement these in Python yourself. You may use any software libraries available, as long as referenced. The approaches named above e.g. come with sk_learn and do not need to be implemented from scratch. The neural network’s performance should be evaluated in different settings and compared against other approaches, such as decision trees, Naive Bayes or other classifiers. Results should be supported with visualisations, such as graphs.

2. Text classification: this project will implement a deep learning system for text classification (e.g. using the news dataset from the lab, or any other you can find). You can choose what classes you want to learn (i.e. classify) from your dataset. You will need to make an informed choice of neural network (such as recurrent or transformer) and implement it using a deep learning library. This part can be based on a lab session we did together. The project should also include at least one additional component, e.g. a specific hypothesis you want to investigate, a comparison against another technique, or a data augmentation technique, such as language modelling (i.e. embed features into vector space using one or more techniques e.g. Word2Vec, GloVe, BERT, GPT-2, etc.). Regardless of what you choose to do concretely, make sure that you use baselines in your project, i.e. choose the system you want to “pitch” and make sure you compare it another setup. Results should be supported with visualisations, such as graphs.

3. Sentiment analysis from text and/or images: this project will implement a deep learning based system for sentiment analysis. You will need to choose a dataset (e.g. not the one used in our sentiment analysis lab please) and make an informed choice of architecture. Then implement it using a deep learning library. You can then either focus on sentiment analysis from text (as we’ve done before) or image analysis, e.g. predicting sentiment from images. In either case, please make sure to benchmark your results against an alternative setting, e.g. experimenting with more than one neural network architecture, or experimenting substantially with your chosen architecture itself, e.g. using hyperparameter optimisation. Results should be supported with visualisations, such as graphs.

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WE ARE EXPERTISE IN BELOW TYPES OF DATA VISUALIZATION

Below the list of python machine learning visualizations in which you can also get help to analyze the data. It makes easy to understand the data for any non technical persons. There are many types of visualizations used in data science and machine learning

Below the list of machine learning visualizations in which you can also get help to analyze the data. It makes easy to understand the data for any non technical persons. There are many types of visualizations used in data science and machine learning:

  • Parallel Coordinates chart: Parallel coordinates is a visualization technique used to plot individual data elements across many performance measures. Each of the measures corresponds to a vertical axis and each data element is displayed as a series of connected points along the measure/axes.

  • Density Plot: Density Plot is a type of data visualization tool. It is a variation of the histogram that uses ‘kernel smoothing’ while plotting the values. It is a continuous and smooth version of a histogram inferred from a data.

  • Column Chart: A column chart is a data visualization where each category is represented by a rectangle, with the height of the rectangle being proportional to the values being plotted. Column charts are also known as vertical bar charts.

  • Bar Graph: A bar plot or bar chart is a graph that represents the category of data with rectangular bars with lengths and heights that is proportional to the values which they represent. The bar plots can be plotted horizontally or vertically

  • Stacked Bar Graph: A stacked bar chart is also known as a stacked bar graph. It is a graph that is used to compare parts of a whole. In a stacked bar chart each bar represents the whole, and the segments or parts in the bar represent categories of that whole

  • Grouped Bar Chart: A grouped barplot is used when you have several groups, and subgroups of these groups. The example in this post shows how to build a grouped barplor using the bar() function of matplotlib library.

  • Area Chart: An area chart or area graph displays graphically quantitative data. It is based on the line chart. The area between axis and line are commonly emphasized with colors, textures and hatchings. Commonly one compares two or more quantities with an area chart.

  • Dual Axis Chart: A dual axis chart (also called a multiple axes chart) uses two axes to easily illustrate the relationships between two variables with different magnitudes and scales of measurement. The relationship between two variables is referred to as correlation.

  • Line Graph: A line chart or line plot or line graph or curve chart is a type of chart which displays information as a series of data points called 'markers' connected by straight line segments. It is a basic type of chart common in many fields. 

  • Candle set chart: A typical candlestick chart is composed of a series of bars, known as candles, which vary in height and color. Candlestick charts are one of the most popular chart types for day traders. Learn how to read these charts and apply them to your trading

  • Box and whisker plot: A Box and Whisker Plot (or Box Plot) is a convenient way of visually displaying the data distribution through their quartiles.

  • Mekko Chart: A Mekko chart (sometimes also called marimekko chart) is a two-dimensional stacked chart. In addition to the varying segment heights of a regular stacked chart, a Mekko chart also has varying column widths. Column widths are scaled such that the total width matches the desired chart width. 

  • Pie Chart: A pie chart, sometimes called a circle chart, is a way of summarizing a set of nominal data or displaying the different values of a given variable (e.g. percentage distribution).

  • Bubble Chart: Bubble chart displaying the relationship between poverty and violent and property crime rates by state. Larger bubbles indicate higher percentage of state residents at or below the poverty level. 

  • Scatter Plot Chart: A scatter plot (aka scatter chart, scatter graph) uses dots to represent values for two different numeric variables. The position of each dot on the horizontal and vertical axis indicates values for an individual data point.

  • Grouped Scatter Chart: Display scatter plot of two variables. Adding a grouping variable to the scatter plot is possible. In this we group more than two variable that called group scatter chart.

  • Scatter Plot Matrix: A scatter plot matrix is a grid (or matrix) of scatter plots used to visualize bivariate relationships between combinations of variables. Each scatter plot in the matrix visualizes the relationship between a pair of variables, allowing many relationships to be explored in one chart.

  • Radar Chart: A radar chart is a way of showing multiple data points and the variation between them. They are often useful for comparing the points of two or more different data sets.

  • Radial Bar Chart: A Radial/Circular bar chart is a bar chart displayed on a polar coordinate system. The difference between radial column chart is that base axis of series is y axis of a radar chart making columns circular. You can easily adjust start/end angles of a chart by setting startAngle and endAngle of your RadarChart component.

  • Donut chart: A donut chart is essentially a Pie Chart with an area of the centre cut out. A donut chart (also spelled doughnut) is functionally identical to a pie chart, with the exception of a blank center and the ability to support multiple statistics at once.

  • Bullet Graph: A bullet graph is a variation of a bar graph developed to replace dashboard gauges and meters. A bullet graph is useful for comparing the performance of a primary measure to one or more other measures

  • Funnel Chart: A funnel chart is a specialized chart type that demonstrates the flow of users through a business or sales process. Funnel charts show values across multiple stages in a process. For example, you could use a funnel chart to show the number of sales prospects at each stage.

  • TreeMap: A treemap chart provides a hierarchical view of your data and makes it easy to spot patterns, such as which items are a store's best sellers. Treemapping is a data visualization technique that is used to display hierarchical data using nested rectangles;

  • Dendo gram: A dendrogram (or tree diagram) is a network structure. It is constituted of a root node that gives birth to several nodes connected by edges or branches.

  • Heat Map: A heat map is a two-dimensional representation of data in which values are represented by colors. A simple heat map provides an immediate visual summary of information. More elaborate heat maps allow the viewer to understand complex data sets.

  • Violin Chart: A violin plot is a method of plotting numeric data. It is similar to a box plot, with the addition of a rotated kernel density plot on each side.

  • Area graph: An area chart or area graph displays graphically quantitative data. It is based on the line chart. The area between axis and line are commonly emphasized with colors, textures and hatchings. Commonly one compares two or more quantities with an area chart.

  • stacked Area graph: Stacked Area Graphs work in the same way as simple Area Graphs do, except for the use of multiple data series that start each point from the point left by the previous data series. 

Best Machine Learning Sample Projects 2023

Project 1(OpenCV): Domain- Entertainment

Company X owns a movie application and repository which caters movie streaming to millions of users who on subscription basis. Company wants to automate the process of cast and crew information in each scene from a movie such that when a user pauses on the movie and clicks on cast information button, the app will show details of the actor in the scene. Company has an in-house computer vision and multimedia experts who need to detect faces from screen shots from the movie scene. The data labelling is already done. Since there higher time complexity is involved in the

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Project 2: Statistical Analysis to Reducing Gender Inequality in Wages and Employment

Germany’s government is interested in reducing gender inequality, especially gender wage gaps and gender gaps in employment. They are considering the introduction of a set of
policies that incentivize firms to shrink gender inequality in working conditions. First, the policy forces firms to internally publish salaries of all workers, so discrepancies in salaries can be detected by workers themselves. Second, firms are incentivized to encourage salary negotiations. Third, firms are incentivized to offer childcare where needed for their employees to fulfill their duties.
The government has been made aware that, in parts of the United States, exactly these policies have been introduced and now asks you to evaluate the effectiveness of these policies in reducing gender inequality in wages and employment. The dataset genderinequality (provided in RData and csv formats) contains data on individuals in the U.S., some working in firms to which the new policies apply (these are the treated workers) and some working at firms to which the new policies do not apply (these are the untreated workers). The policies have been introduced in 2007 and we have panel data on workers for the years 2005 and 2010, i.e. before and after the introduction of the new policies.

Statistical Analysis to Reducing Gender Inequality in Wages and Employment.jpg

Project 3: ReneWind

Renewable energy sources play an important role in the global energy mix, as the effort to reduce the environmental impact of energy production increases. Wind energy is one of the most developed technologies worldwide and the U.S Department of Energy has put together a guide to achieving operational efficiency using predictive maintenance practices. Predictive maintenance means failure patterns are predictable and if component failure can be predicted accurately and the component is replaced before it fails, the costs of operation and maintenance will be much lower. ReneWind is a company working on improving the machinery/processes involved in the production of wind energy using machine learning and has collected data of generator failure of wind turbines using sensors. ReneWind is a company working on improving the machinery/processes involved in the production of wind energy using machine learning and has collected data of generator failure of wind turbines using sensors.

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Project 4: TRAIN&AHEAD PROJECT

Trade&Ahead is a financial consultancy firm who provide their customers with personalized investment strategies. They have hired you as a Data Scientist and provided you with data comprising stock price and some financial indicators for a few companies listed under the New York Stock Exchange. They have assigned you the tasks of analyzing the data, grouping the stocks based on the attributes provided, and sharing insights about the characteristics of each group. 

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Other Programming Languages Used For Data Scientist & Machine Learning

There are many other programming languages and Tools which used to do Data Science and Machine Learning Task. Here we can discussing these programming languages in which our expert also providing the Data Science and Machine Learning programming Help:

Python: Python is the import programming language which start career as a Data Science and Machine Learning. This is first choice of professionals which learn data science. Now a day it became most popular programming language in the field of data science.

Java:  Java is also used for machine learning projects but it is difficult to implement compare to Python programming language. Syntax of this programming language is complex compare to python so developer not choose this as a first choice.

R: R programming is also became most familiar with Data Science and Machine Learning expert. This is also choose by Data Science expert like a python. It is also simple like python and it provide lots of in-built libraries which make it easy to implement.

JavaScript: When we need to create advance level GUI Application related to Machine Learning and Data Science for model prediction then JavaScript used to create the front end design.

MATLAB: MATLAB is also used to predict the Data Science and Machine Learning models. Basically it used to advance level scientific calculations which is related to machine learning.

SCALA: Scala is used in Data processing, distributed computing, and web development. It powers the data engineering infrastructure of many companies. It also used by Data Scientist Developer.

PySpark: It used to handle the Big Data related task. When data is too long then right choice to implement PySpark. It also support the SQL so it make easy to execute the query.

Hive/HADOOP: It also used by Big Data expert to implement big data related task. Now a day most of industries which is working over past decades then data of these industries is too long. To handle these data Hive/HADOOP is the right choice of developer. 

Tkinter: This is the python tool which used to create GUI applications. It also used to create Data Science and Machine Learning Application.

Django/Flask: These are the python Framework which is used to create GUI Applications. If you are looking to hire expert which can do your machine learning web application then you can choose these frameworks.

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