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.
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 R | Use R for Data Science |
| Use R for Data Analysis | Use R to Create Data Visualizations |
| Use R to handle CSV, Excel, SQL files, or Web Scraping | Use 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 plots | Plotly for interactive dynamic visualizations |
| SciKit-Learn | K-Means Clustering |
| Machine Learning Algorithms | NumPy for Numerical Data |
| Python for Data Science and Machine Learning | Spark for Big Data Analysis |
| Pandas for Data Analysis | Matplotlib for Python Plotting |
| Logistic Regression, Linear Regression | Natural Language Processing |
| Neural Networks | Support 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 problems | Program 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 Scratch | Build Interesting Applications Using Javascript and ML Techniques |
| Optimize Algorithms with Advanced Performance and Memory Usage Profiling | Tensorflow 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 imputation | Transform categorical variables into numbers while capturing meaningful information |
| Learn how to deal with infrequent, rare, and unseen categories | Transform skewed variables into Gaussian |
| Convert numerical variables into discrete | Remove outliers from variables |
| Extract meaningful insights from data and time variables | Learn 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 Keras | Design and Evaluate A/B tests using T-Tests and P-Values |
| Classify Images and Data Using Deep Learning | Make Predictions Using Linear Regression, Polynomial Regression, and Multivariate Regression |
| Data Visualization with MatPlotLib and Seaborn | Implement Machine Learning with Apache Spark’s MLLib |
| Understand Reinforcement Learning | Classify 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 models | Build 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 Specialty | Practice 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 plugin | Setup and use Tensorflow to train game characters |
| Mathematics and statistics behind machine learning | Use 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 problem | Design Machine Learning models |
| Make accurate predictions and analyses using machine learning models | Know which Machine Learning model to choose for each type of problem |
| Reinforcement Learning, NLP, and Deep Learning | Dimensionality 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 performance | Difference 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 & R | Handle specific topics like Reinforcement Learning, NLP and Deep Learning |
| Handle advanced techniques like Dimensionality Reduction | Know 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 problem | Make 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 etc | Train 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 Python | Clean your input data to remove outliers |
| Build an army of powerful Machine Learning models and know how to combine them to solve any problem | Classify data using K-Means clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, and PCA |
| Use Machine Learning for personal purpose | Make 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 2.0 | Use 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 industry | Present Data Science projects to management and stakeholders |
| Implement Machine Learning algorithms | Learn 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 learning | K-Means Clustering |
| Naive Bayes Classifier | The Machine Learning Process |
| Principal component analysis | The 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 Python | Become an advanced, confident, and modern Machine Learning developer from scratch |
| Apply robust Data Science techniques for Machine Learning | Machine 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 PyTorch | How 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 descent | Compute 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 learning | Understand 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 models | Neural networks |
| Decision trees | Gradient Boosting |
| k-nearest neighbors | Linear 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 cloud | AWS 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 Deployment | How 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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