machine learning

Udemy features more than 600 machine learning courses designed by experts who have worked in top tech firms like Google, IBM, Netflix, Facebook, etc. as machine learning engineers. The majority of Udemy machine learning courses are based on practical applications of machine learning such as A/B testing and AI game development. Such courses require students to have some basic knowledge of Python.

The cost of Udemy machine learning courses is INR 1,280 – INR 3,499. Udemy is currently offering all machine learning courses for up to 90% off along with a 30-day money-back guarantee and lifetime access.

As per student ratings & reviews “Python for Data Science and Machine Learning Bootcamp” is the best machine learning course on Udemy. The course has around 6.6 lakh student enrollments, a 4.6/5 rating, and more than 1.3 lakh student reviews. “Data Science and Machine Learning Bootcamp with R” is the highest-rated machine learning course on Udemy. The course has a 4.7/5 rating.

Best Machine Learning Courses on UdemyRegistration Link
Data Science and Machine Learning Bootcamp with R
Python for Data Science and Machine Learning Bootcamp
Deep Learning Prerequisites: Linear Regression in Python
Machine Learning with Javascript
Feature Engineering for Machine Learning
Machine Learning, Data Science, and Deep Learning with Python
AWS Certified Machine Learning Specialty (MLS-C01)
A Beginner’s Guide to Machine Learning with Unity
Machine Learning A-Z: Hands-On Python & R In Data Science
Bayesian Machine Learning in Python: A/B Testing
Machine Learning A-Z™: AI, Python & R + ChatGPT Bonus [2023]
The Complete Machine Learning Course with Python
Machine Learning with Python : COMPLETE COURSE FOR BEGINNERS
Complete Machine Learning & Data Science Bootcamp 2023
Complete Machine Learning course
The Complete Machine Learning Course: From Zero to Expert!
Mathematical Foundations of Machine Learning
XGBoost for Business: Machine Learning Course in Python & R
Supervised Machine Learning in Python
AWS Certified Machine Learning Specialty MLS-C01 [2023]

Data Science and Machine Learning Bootcamp with R

This course is designed both for beginners with no programming experience or experienced data developers who want to become Data Scientists. It has video tutorials on how to use R programming language to create data visualizations, and how to use Machine Learning and Data Science with R.

  • Course Rating: 4.7/5
  • Duration: 17.5 hours
  • Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
  • Benefits: 9 Articles, 3 Downloadable resources, Full lifetime access on mobile and TV, Certificate of completion from Udemy

Join Now: Data Science and Machine Learning Bootcamp with R

Learning Outcomes

Program in RUse R for Data Science
Use R for Data AnalysisUse R to Create Data Visualizations
Use R to handle CSV, Excel, SQL files, or Web ScrapingUse R to Manipulate Data
Use R for Machine Learning Algorithms

Python for Data Science and Machine Learning Bootcamp

“Python for Data Science and Machine Learning Bootcamp” course is suitable for beginners with prior Python programming experience or experienced web developers who want to become Data Scientists. It focuses on Machine Learning, data science tools, and related topics like Matplotlib, Tensorflow, NumPy, Pandas, Plotly, Seaborn, Scikit-Learn, etc. Check the detailed review of the Udemy “Python for Data Science and Machine Learning Bootcamp”.

  • Course Rating: 4.6/5
  • Duration: 25 hours
  • Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
  • Benefits: 13 Articles, 5 Downloadable resources, Full lifetime access on mobile and TV, Certificate of completion from Udemy

Join Now: Python for Data Science and Machine Learning Bootcamp

Learning Outcomes

Seaborn for statistical plotsPlotly for interactive dynamic visualizations
SciKit-LearnK-Means Clustering
Machine Learning AlgorithmsNumPy for Numerical Data
Python for Data Science and Machine LearningSpark for Big Data Analysis
Pandas for Data AnalysisMatplotlib for Python Plotting
Logistic Regression, Linear RegressionNatural Language Processing
Neural NetworksSupport Vector Machines

Deep Learning Prerequisites: Linear Regression in Python

This course focuses on teaching linear regression which is one of the popular techniques used in machine learning and data science. In order to understand this course better, students are expected to know basic Python programming, calculus, and probability theory.

  • Course Rating: 4.6/5
  • Duration: 6.5 hours
  • Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
  • Benefits: Full lifetime access on mobile and TV, Certificate of completion from Udemy

Join Now: Deep Learning Prerequisites: Linear Regression in Python

Learning Outcomes

Solve a linear regression model, and apply it to data science problemsProgram your own version of a linear regression model in Python

Machine Learning with Javascript

This course focuses on learning Machine Learning using Javascript, which is considered easier to learn than Python or R. Javascript also enables building single-page apps, and browser extensions. In order to understand this course better, students are expected to have a basic understanding of terminal and command-line usage and basic math equations.

  • Course Rating: 4.6/5
  • Duration: 17.5 hours
  • Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
  • Benefits: 4 Articles, 2 Downloadable resources, Full lifetime access on mobile and TV, Certificate of completion from Udemy

Join Now: Machine Learning with Javascript

Learning Outcomes

Learn Machine Learning Algorithms from ScratchBuild Interesting Applications Using Javascript and ML Techniques
Optimize Algorithms with Advanced Performance and Memory Usage ProfilingTensorflow JS for Machine Learning Algorithms

Feature Engineering for Machine Learning

Feature Engineering for Machine Learning course is designed to teach about tools to engineer the variables in datasets and build machine learning models. The requirements to enroll in this course are Python & Jupyter notebook installation, Python coding skills, familiarity with Numpy, Pandas, Machine Learning algorithms, and Scikit-Learn.

  • Course Rating: 4.7/5
  • Duration: 10.5 hours
  • Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
  • Benefits: 24 Articles, 4 Downloadable resources, Assignments, Full lifetime access on mobile and TV, Certificate of completion from Udemy

Join Now: Feature Engineering for Machine Learning

Learning Outcomes

Learn multiple techniques for missing data imputationTransform categorical variables into numbers while capturing meaningful information
Learn how to deal with infrequent, rare, and unseen categoriesTransform skewed variables into Gaussian
Convert numerical variables into discreteRemove outliers from variables
Extract meaningful insights from data and time variablesLearn ML techniques used in organizations

Machine Learning, Data Science, and Deep Learning with Python

This course focuses on machine learning tutorials with data science, TensorFlow, artificial intelligence, neural networks, and data mining techniques. The course requires candidates to have a basic understanding of Python programming language because the course only covers a list of Python languages and then goes on deeper to applications of Python in Machine Learning.

  • Course Rating: 4.5/5
  • Duration: 15.5 hours
  • Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
  • Benefits: 6 Articles, 1 Downloadable resource, Full lifetime access on mobile and TV, Certificate of completion from Udemy

Join Now: Machine Learning, Data Science, and Deep Learning with Python

Learning Outcomes

Build Artificial Neural Networks with Tensorflow and KerasDesign and Evaluate A/B tests using T-Tests and P-Values
Classify Images and Data Using Deep LearningMake Predictions Using Linear Regression, Polynomial Regression, and Multivariate Regression
Data Visualization with MatPlotLib and SeabornImplement Machine Learning with Apache Spark’s MLLib
Understand Reinforcement LearningClassify Data Using K-Means Clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, and PCA
Use train/test and K-Fold cross-validation to choose and tune your modelsBuild a movie recommender system using item-based and user-based collaborative filtering
Clean your input data to remove outliers

AWS Certified Machine Learning Specialty (MLS-C01)

It is a kind of AWS ML SageMaker Course that teaches how to set up a SageMaker environment, how to handle mixed data types, and missing data, and how to verify the quality of the ML model. It covers everything that is required in AWS ML Speciality Certification. The course requirements are familiarity with Python, a basic understanding of Pandas, Numpy, Matplotlib, and an AWS Account.

  • Course Rating: 4.6/5
  • Duration: 17 hours
  • Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
  • Benefits: 84 Articles, 34 Downloadable resources, 1 Practice test, Full lifetime access on mobile and TV, Certificate of completion from Udemy

Join Now: AWS Certified Machine Learning Specialty (MLS-C01)

Learning Outcomes

How to train, optimize, deploy, and integrate ML in the AWS cloud?AWS Built-in algorithms
AWS Certified Machine Learning SpecialtyPractice test

A Beginner’s Guide To Machine Learning with Unity

This course is all about machine learning techniques of genetic algorithms and neural networks, how to create games with AI and genetic algorithms, and neural networks in C#, and Tensorflow. By the end of this course, you can learn how to capture and use human player data to teach a bot to drive. The course requires to have a basic understanding of Unity Game Engine, C#, mathematics, and statistics.

  • Course Rating: 4.7/5
  • Duration: 12.5 hours
  • Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
  • Benefits: 23 Articles, 44 Downloadable resources, Full lifetime access on mobile and TV, Certificate of completion from Udemy

Join Now: A Beginner’s Guide To Machine Learning with Unity

Learning Outcomes

Build a genetic algorithm from scratch in C#Build a neural network from scratch in C#
Setup and explore the Unity ML-Agents pluginSetup and use Tensorflow to train game characters
Mathematics and statistics behind machine learningUse a Proximal Policy Optimisation to train a neural network

Machine Learning A-Z: Hands-On Python & R In Data Science

The course is developed by data scientists and focuses on creating Machine Learning Algorithms in Python and R. It has practical exercises to get hands-on experience in building machine learning models and algorithms. The instructors offer downloadable Python and R code templates for free to implement in your own projects.

  • Course Rating: 4.5/5
  • Duration: 44 hours
  • Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
  • Benefits: 73 Articles, 38 Downloadable resources, Full lifetime access on mobile and TV, Certificate of completion from Udemy

Join Now: Machine Learning A-Z: Hands-On Python & R In Data Science

Learning Outcomes

Introduction to Machine Learning models and how to combine them to solve any problemDesign Machine Learning models
Make accurate predictions and analyses using machine learning modelsKnow which Machine Learning model to choose for each type of problem
Reinforcement Learning, NLP, and Deep LearningDimensionality Reduction

Bayesian Machine Learning in Python: A/B Testing

This course is all about A/B testing, a comparison technique used in marketing, retail, digital media, and advertising. It covers the aspects of traditional A/B testing and then focuses entirely on Bayesian machine learning. In order to understand the course better, students are expected to know Probability and Python coding with Numpy stack.

  • Course Rating: 4.5/5
  • Duration: 10.5 hours
  • Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
  • Benefits: Full lifetime access on mobile and TV, Certificate of completion from Udemy

Join Now: Bayesian Machine Learning in Python: A/B Testing

Learning Outcomes

Use adaptive algorithms to improve A/B testing performanceDifference between Bayesian and frequentist statistics
Apply Bayesian methods to A/B testing

Machine Learning A-Z™: AI, Python & R + ChatGPT Bonus [2023]

This comprehensive Machine Learning course, designed by experts in the field, offers a thorough introduction to the world of Machine Learning. With over 900,000 students worldwide, the course covers essential topics like data preprocessing, regression, classification, clustering, reinforcement learning, natural language processing, deep learning, dimensionality reduction, and model selection. The course includes practical exercises based on real-life case studies, allowing learners to apply theory to hands-on projects. ;

  • Course Rating: 4.5/5
  • Duration: 42.5 hours
  • Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
  • Benefits: 39 articles,5 coding exercises, 9 downloadable resources, full lifetime access on mobile and TV, certificate of completion from Udemy

Join Now: Machine Learning A-Z™: AI, Python & R + ChatGPT Bonus [2023]

Learning Outcomes

Master Machine Learning on Python & RHandle specific topics like Reinforcement Learning, NLP and Deep Learning
Handle advanced techniques like Dimensionality ReductionKnow which Machine Learning model to choose for each type of problem
Build an army of powerful Machine Learning models and know how to combine them to solve any problemMake robust Machine Learning models

The Complete Machine Learning Course with Python

The “Complete Machine Learning Course in Python” offers a comprehensive and up-to-date learning experience in the field of machine learning. With newly added sections and improved content, this course covers foundational topics like deep learning, convolutional neural networks for computer vision, and more. This course is suitable for individuals looking to master machine learning, understand regression and classification algorithms, and apply machine learning to diverse domains, even without prior Python knowledge.

  • Course Rating: 4.3/5
  • Duration: 17.5 hours
  • Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
  • Benefits: 3 articles, 2 downloadable resources, full lifetime access on mobile and TV, certificate of completion from Udemy

Join Now: The Complete Machine Learning Course with Python

Learning Outcomes

Machine Learning Engineers earn on average INR 8 LPA – become an ideal candidate with this course!Solve any problem in your business, job or personal life with powerful Machine Learning models
Go from zero to hero in Python, Seaborn, Matplotlib, Scikit-Learn, SVM, unsupervised Machine Learning etcTrain machine learning algorithms to predict house prices, identify handwriting, detect cancer cells & more

Machine Learning with Python : Complete Course For Beginners

This comprehensive data science course covers the fundamentals of machine learning and artificial intelligence (AI) while focusing on practical application. The course is designed for beginners and those with some Python programming knowledge, the course covers topics like Python basics, statistics, machine learning techniques, supervised and unsupervised learning, classification, regression, clustering, ensemble methods, and recommendation systems. ;

  • Course Rating: 4.7/5
  • Duration: 13 hours
  • Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
  • Benefits: 2 articles, full lifetime access on mobile and TV, certificate of completion from Udemy

Join Now: Machine Learning with Python : Complete Course For Beginners

Learning Outcomes

Master Machine Learning on PythonClean your input data to remove outliers
Build an army of powerful Machine Learning models and know how to combine them to solve any problemClassify data using K-Means clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, and PCA
Use Machine Learning for personal purposeMake robust Machine Learning models

Complete Machine Learning & Data Science Bootcamp 2023

This updated Data Science and Machine Learning course, led by industry experts Daniel Bourke and Andrei Neagoie, equips learners with modern skills and knowledge to become successful Data Scientists and Machine Learning engineers. The course covers a comprehensive curriculum, including Python, TensorFlow 2.0, neural networks, data exploration, model evaluation, and various machine learning algorithms. ;

  • Course Rating: 4.6/5
  • Duration: 43.5 hours
  • Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
  • Benefits: 58 articles,1 coding exercises, 14 downloadable resources, full lifetime access on mobile and TV, certificate of completion from Udemy

Join Now: Complete Machine Learning & Data Science Bootcamp 2023

Learning Outcomes

Deep Learning, Transfer Learning and Neural Networks using the latest Tensorflow 2.0Use modern tools that big tech companies like Google, Apple, Amazon and Meta use
Learn about Data Engineering and how tools like Hadoop, Spark and Kafka are used in the industryPresent Data Science projects to management and stakeholders
Implement Machine Learning algorithmsLearn NumPy and how it is used in Machine Learning

Complete Machine Learning course

This comprehensive course covers a range of essential topics in machine learning and data science. Starting with the basics, learners will delve into supervised and unsupervised learning, linear and logistic regression, KNN, Naïve Bayes, random forest, decision tree algorithms, and more. The course also covers practical applications like spam filtering and recommendation systems. ;

  • Course Rating: 4.3/5
  • Duration: 6.5 hours
  • Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
  • Benefits: full lifetime access on mobile and TV, certificate of completion from Udemy

Join Now: Complete Machine Learning course

Learning Outcomes

Basics of machine learningK-Means Clustering
Naive Bayes ClassifierThe Machine Learning Process
Principal component analysisThe Elbow Method

The Complete Machine Learning Course: From Zero to Expert!

This comprehensive Machine Learning course is designed to empower individuals with little to no prior data science experience, taking them from absolute beginners to confident machine learning practitioners. The course combines theory with practical exercises based on real-life case studies, providing hands-on experience. It’s suitable for anyone interested in machine learning, aspiring data scientists, data analysts looking to upskill, and individuals seeking to apply machine learning tools in various fields, from research to business.

  • Course Rating: 4.3/5
  • Duration: 26.5 hours
  • Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
  • Benefits: 169 downloadable resources, full lifetime access on mobile and TV, certificate of completion from Udemy

Join Now: The Complete Machine Learning Course: From Zero to Expert!

Learning Outcomes

Master Machine Learning in PythonBecome an advanced, confident, and modern Machine Learning developer from scratch
Apply robust Data Science techniques for Machine LearningMachine Learning fundamentals: Supervised, Unsupervised and Reinforcement Learning
Master all Machine Learning python libraries: numpy, scipy, pandas, scikit-learn, matplotlib, seaborn, imblearn, notebook.Be an expert in Support Vector Machines and Kernels

Mathematical Foundations of Machine Learning

This comprehensive course, led by Dr. Jon Krohn, a renowned deep learning expert, delves into the essential mathematics that underlie machine learning and data science. It covers linear algebra and calculus, providing students with a solid foundation to comprehend the inner workings of machine learning algorithms. The course is suitable for data scientists, software developers, data analysts, and AI enthusiasts looking to enhance their capabilities and deepen their understanding of the core principles in data science and machine learning. ;

  • Course Rating: 4.5/5
  • Duration: 16.5 hours
  • Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
  • Benefits: 1 article, full lifetime access on mobile and TV, certificate of completion from Udemy

Join Now: Mathematical Foundations of Machine Learning

Learning Outcomes

Manipulate tensors using all three of the most important Python tensor libraries: NumPy, TensorFlow, and PyTorchHow to apply all of the essential vector and matrix operations for machine learning and data science
Grasp exactly what gradients are and appreciate why they are essential for enabling ML via gradient descentCompute the partial derivatives of machine-learning cost functions by hand as well as with TensorFlow and PyTorch
Develop an understanding of what’s going on beneath the hood of machine learning algorithms, including those used for deep learningUnderstand the fundamentals of linear algebra and calculus, critical mathematical subjects underlying all of machine learning and data science

XGBoost for Business: Machine Learning Course in Python & R

This course on XGBoost, a powerful machine learning algorithm, focuses on its practical application in the business world using Python and R. It starts with an intuitive tutorial, presenting a real-world Direct Marketing case study to help learners grasp the algorithm’s significance and concepts. The course is designed for data scientists, business professionals, computer science students, entrepreneurs, and data analysts seeking to enhance their machine learning skills and leverage XGBoost to make data-driven decisions.

  • Course Rating: 4.6/5
  • Duration: 5 hours
  • Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
  • Benefits: 2 articles, 1 downloadable resource, full lifetime access on mobile and TV, certificate of completion from Udemy

Join Now: XGBoost for Business: Machine Learning Course in Python & R

Learning Outcomes

Understand how to effectively communicate the results of using XGBoost to stakeholders.Utilize XGBoost to solve similar business problems in the future.
Understand the role of machine learning in business and how it can be used to improve decision-making and solve complex problems.Use machine learning techniques, including XGBoost, to analyze and interpret data in the context of business applications.
Code in Python and R to implement XGBoost.Understand the underlying concepts of XGBoost.

Supervised Machine Learning in Python

This practical course focuses on supervised machine learning using Python. It covers various aspects of this field, including understanding supervised machine learning, avoiding overfitting and underfitting, differentiating between regression and classification models, and more. Each lesson includes a Python programming example using the scikit-learn library in Jupyter notebooks, making it suitable for Python developers, data scientists, computer engineers, researchers, and students seeking hands-on experience in supervised machine learning.

  • Course Rating: 4.5/5
  • Duration: 11 hours
  • Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
  • Benefits: 5 articles, 38 downloadable resources, full lifetime access on mobile and TV, certificate of completion from Udemy

Join Now: Supervised Machine Learning in Python

Learning Outcomes

Regression and classification modelsNeural networks
Decision treesGradient Boosting
k-nearest neighborsLinear models

AWS Certified Machine Learning Specialty MLS-C01 [2023]

This course offers practical hands-on experience with AWS SageMaker, making it suitable for individuals interested in AWS cloud-based machine learning and data science. It covers essential topics such as data handling, model quality verification, model training and deployment, continuous improvement, A/B testing, fairness considerations, cloud security, recommender systems, algorithm tuning, time series forecasting, and anomaly detection. ;

  • Course Rating: 4.6/5
  • Duration: 17 hours
  • Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
  • Benefits: 112 articles,1 practice test, 34 downloadable resources, full lifetime access on mobile and TV, certificate of completion from Udemy

Join Now: AWS Certified Machine Learning Specialty MLS-C01 [2023]

Learning Outcomes

You will gain first-hand experience on how to train, optimize, deploy, and integrate ML in AWS cloudAWS Built-in algorithms, Bring Your Own, Ready-to-use AI capabilities
Complete Guide to AWS Certified Machine Learning – Specialty (MLS-C01)Includes a high-quality Timed practice test (a lot of courses charge a separate fee for practice test)
Zero Downtime Model DeploymentHow to Integrate and Invoke ML from your Application

Also Check:

Best Machine Learning Courses on Udemy: FAQs

Ques. Which is the best Udemy Machine Learning?

Ans. Here is a list of some of the highest-rated and best-selling Udemy Machine Learning:

  • Data Science and Machine Learning Bootcamp with R
  • Python for Data Science and Machine Learning Bootcamp
  • Deep Learning Prerequisites: Linear Regression in Python
  • Machine Learning with Javascript
  • Feature Engineering for Machine Learning

Ques. Is the Udemy machine learning course worth it?

Ans. Yes, Udemy Machine Learning is worth it. There are more than 300 courses on machine learning on Udemy, rated 4.7 and above. You can learn various skills and gain advanced knowledge from these courses.

Ques. Which Udemy Machine Learning is best for beginners?

Ans. Here are some of the highest-rated Udemy Machine Learning for beginners:

  • Data Science and Machine Learning Bootcamp with R
  • Python for Data Science and Machine Learning Bootcamp
  • Deep Learning Prerequisites: Linear Regression in Python
  • Machine Learning with Javascript
  • Feature Engineering for Machine Learning

Ques. What is the best Online Udemy Machine Learning?

Ans. Data Science and Machine Learning Bootcamp with R is the most popular machine learning course on Udemy and has a rating of 4.7 with more than 77,606 enrollments.

Ques. Do Udemy machine learning courses get outdated?

Ans. No, the course does not get outdated. It gets updated in a while to meet the changes and developments in the field.

Ques. Can I become a professional machine learning expert after completing the course on Udemy?

Ans. Certifications from Udemy are a perk and can be added to your CV under the personal skill enhancement section. It can not directly provide jobs but in your professional career, they give an edge and is a proof of your skills and knowledge in the area.

Ques. How do I get free Udemy courses?

Ans. There are various Udemy Free Courses. You can search for “Udemy Free Courses on Google”. Also, many instructors post free coupons for the courses on Udemy Facebook groups. You can check it and join the courses for free if you want using the coupons.

Ques. Is AI and ML a good career?

Ans. Yes, AI and ML is one of the lucrative option and one can earn INR 5,00,000 per annum on average after the completion of AI and ML course.

Ques. What are the three types of Machine Learning?

Ans. The three types of machine learning are Supervised, Unsupervised, and Reinforcement learning.

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