The Programming Buddy Club Logo
The Programming Buddy Club

Complete Machine Learning with R Studio - ML for 2023 | Free Udemy Course
Scroll Down to get the courseGet The Course

Complete Machine Learning with R Studio - ML for 2023 | Free Udemy Course

Free $29.99100% off
Price expires 2 months ago or 823 uses

Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in R programming language - R studio | Free Udemy Course

(2313 ratings)
257905 students
Created by:
Last updated 11/2022Course Language EnglishCourse Caption EnglishCourse Length 11:59:17 to be exact 43157 seconds!Number of Lectures 112
This course includes:
  • 12 hours hours of on-demand video
  • 5 article
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion
  • 6 additional resources

You're looking for a complete Machine Learning course that can help you launch a flourishing career in the field of Data Science, Machine Learning, R and Predictive Modeling, right?You've found the right Machine Learning course!After completing this course, you will be able to:· Confidently build predictive Machine Learning models using R to solve business problems and create business strategy· Answer Machine Learning related interview questions· Participate and perform in online Data Analytics competitions such as Kaggle competitionsCheck out the table of contents below to see what all Machine Learning models you are going to learn.How will this course help you?A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics course.If you are a business manager or an executive, or a student who wants to learn and apply machine learning, R and predictive modelling in Real world problems of business, this course will give you a solid base for that by teaching you the most popular techniques of machine learning, R and predictive modelling.Why should you choose this course?This course covers all the steps that one should take while solving a business problem through linear regression. This course will give you an in-depth understanding of machine learning and predictive modelling techniques using R.Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business.What makes us qualified to teach you?The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using machine learning techniques using R, Python, and we have used our experience to include the practical aspects of data analysis in this course.We are also the creators of some of the most popular online courses - with over 150,000 enrollments and thousands of 5-star reviews like these ones:This is very good, i love the fact the all explanation given can be understood by a layman - JoshuaThank you Author for this wonderful course. You are the best and this course is worth any price. - DaisyOur PromiseTeaching our students is our job and we are committed to it. If you have any questions about the course content, machine learning, R, predictive modelling, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.Download Practice files, take Quizzes, and complete AssignmentsWith each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts of machine learning, R and predictive modelling. Each section contains a practice assignment for you to practically implement your learning on machine learning, R and predictive modelling.Below is a list of popular FAQs of students who want to start their Machine learning journey-What is Machine Learning?Machine Learning is a field of computer science which gives the computer the ability to learn without being explicitly programmed. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns, and make decisions with minimal human intervention.What are the steps I should follow to be able to build a Machine Learning model?You can divide your learning process into 3 parts:Statistics and Probability - Implementing Machine learning techniques require basic knowledge of Statistics and probability concepts. Second section of the course covers this part.Understanding of Machine learning - Fourth section helps you understand the terms and concepts associated with Machine learning and gives you the steps to be followed to build a machine learning modelProgramming Experience - A significant part of machine learning is programming. Python and R clearly stand out to be the leaders in the recent days. Third section will help you set up the Python environment and teach you some basic operations. In later sections there is a video on how to implement each concept taught in theory lecture in PythonUnderstanding of models - Fifth and sixth section cover Classification models and with each theory lecture comes a corresponding practical lecture where we actually run each query with you.Why use R for Machine Learning?Understanding R is one of the valuable skills needed for a career in Machine Learning. Below are some reasons why you should learn Machine learning in R1. It’s a popular language for Machine Learning at top tech firms. Almost all of them hire data scientists who use R. Facebook, for example, uses R to do behavioral analysis with user post data. Google uses R to assess ad effectiveness and make economic forecasts. And by the way, it’s not just tech firms: R is in use at analysis and consulting firms, banks and other financial institutions, academic institutions and research labs, and pretty much everywhere else data needs analyzing and visualizing.2. Learning the data science basics is arguably easier in R than Python. R has a big advantage: it was designed specifically with data manipulation and analysis in mind.3. Amazing packages that make your life easier. As compared to Python, R was designed with statistical analysis in mind, it has a fantastic ecosystem of packages and other resources that are great for data science.4. Robust, growing community of data scientists and statisticians. As the field of data science has exploded, usage of R and Python has exploded with it, becoming one of the fastest-growing languages in the world (as measured by StackOverflow). That means it’s easy to find answers to questions and community guidance as you work your way through projects in R.5. Put another tool in your toolkit. No one language is going to be the right tool for every job. Like Python, adding R to your repertoire will make some projects easier – and of course, it’ll also make you a more flexible and marketable employee when you’re looking for jobs in data science.What are the major advantages of using R over Python?As compared to Python, R has a higher user base and the biggest number of statistical packages and libraries available. Although, Python has almost all features that analysts need, R triumphs over Python.R is a function-based language, whereas Python is object-oriented. If you are coming from a purely statistical background and are not looking to take over major software engineering tasks when productizing your models, R is an easier option, than Python.R has more data analysis functionality built-in than Python, whereas Python relies on PackagesPython has main packages for data analysis tasks, R has a larger ecosystem of small packagesGraphics capabilities are generally considered better in R than in PythonR has more statistical support in general than PythonWhat is the difference between Data Mining, Machine Learning, and Deep Learning?Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary. While data mining discovers previously unknown patterns and knowledge, machine learning reproduces known patterns and knowledge—and further automatically applies that information to data, decision-making, and actions.Deep learning, on the other hand, uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning.Who this course is for:People pursuing a career in data scienceWorking Professionals beginning their Data journeyStatisticians needing more practical experience

Course Content:

Sections are minimized for better readability, click the section title to view the course content

2 Lectures | 02:40
9 Lectures | 01:05:07
5 Lectures | 29:57
2 Lectures | 24:45
18 Lectures | 01:51:44
13 Lectures | 01:29:58
5 Lectures | 43:36
4 Lectures | 12:59
8 Lectures | 38:39
2 Lectures | 18:52
4 Lectures | 36:28
2 Lectures | 10:38
10 Lectures | 01:07:12
4 Lectures | 18:17
2 Lectures | 12:59
2 Lectures | 07:54
4 Lectures | 40:12
4 Lectures | 13:26
2 Lectures | 11:34
1 Lectures | 06:45
7 Lectures | 53:04
2 Lectures | 02:29
(2313 course ratings)






If you like to get inspired by great web projects, you should check out Made with Javascript. If you have a project that you wish to share with the world, feel free to submit your project on Made with Javascript Club website.

Free Online Tools And Converters for your use

URL Encoder

Input a string of text or a URL and encode the entered string

Try it

URL Decoder

Input an encoded string of text or a URL and decode the entered string

Try it

Color Contrast Checker (WCAG)

Calculate the color contrast ration for your website (WCAG)

Try it

XML Formatter

Paste or upload an XML and have it formatted to a beautiful XML format

Try it

URL Slug Generator

Convert any title or sentence into a variety of slugs for your pages URL

Try it


Draw an e-signature or type a signature for your online signature

Try it

FAQ: Udemy Free course Most frequent questions and answers

Does Udemy offer Free Udemy coupons?

Yes, Udemy is the largest online education platform, with the broadest selection of video-on-demand courses and qualified instructors available to meet your needs. At we curate the latest udemy coupons, their expiry, and the number of uses left of these udemy coupons.

How to get free Udemy courses?

There are two ways to get free Udemy courses:

  1. Go to and search for your desired course category. Then select free from the filter options.
  2. You can also get paid courses for free if you have a coupon. You can head to, where you can get a daily udemy paid course for free.

How to get Udemy Certificates for free?

Udemy offers certification on completion of each course. In order to receive a certificate of completion from Udemy, you need to complete your course 100%. There is a simple hack, you can open a video and jump on the timeline to complete a lecture.

To download the certificate from Udemy, you need to head over to your account on a desktop browser. Udemy certificates can't be accessed on the mobile app.

Do Udemy courses expire?

No, once you enroll, you will have lifetime access to the course. You can complete the course on your schedule.

Why are the Udemy instructors giving away free Udemy Coupons?

Every instructor has worked for hours on each of their courses. As new courses get launched, the instructors have no way to get their course in front of an audience to get some feedback. So, instructors share free coupons for their courses to get feedback from the students. We work with these instructors to get their courses available to our buddies.

Is Udemy safe to use?

Yes, payments on Udemy are safe. It is no different than paying for other services on an application or website and inputting your payment information before receiving your goods. Just be sure to keep your account secure, do not share your udemy accounts.

Can Udemy courses get you a job?

Earning a skill is more valuable than earning a job these days. Skills are your most valuable asset. They can help you qualify for jobs you want and get promoted to more advanced positions within your organization. Unfortunately, it is difficult for many people to balance taking courses with work and family obligations. We have had many students, who have taken just Udemy courses, started a job as well as started freelancing with the skills they have learned.