10 Best Udemy Courses for Machine Learning You Must Know in 2025

Udemy is one of the most popular MOOC-based e-learning platforms in the world. Udemy has a wide variety of Machine Learning courses. That’s why in this article, I am going to share with you the 10 Best Udemy Courses for Machine Learning. So give your few minutes to this article and find out the Best Udemy Courses for Machine Learning.

Now, without any further ado, let’s get started-

Best Udemy Courses for Machine Learning

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

Rating- 4.5/5

Provider- SuperDataScience Team

Time to Complete- 44 hours

This is the Bestseller Course at Udemy. I love this course. This course not only teaches you the theory related to Machine Learning but also provides the implementation of each Machine Learning algorithm.

The best part of this course is that you will find implementation in Both Languages Python and R. If you are a complete beginner in Machine Learning, this course is best for you.

This course doesn’t cover advanced topics but covers all basic topics of Machine Learning. You will also learn the basics of Deep Learning and Natural Language Processing.

Now, let’s see the topics covered in this course-

Topics Covered-

• Data Preprocessing
• Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression
• Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification
• Clustering: K-Means, Hierarchical Clustering
• Association Rule Learning: Apriori, Eclat
• Reinforcement Learning: Upper Confidence Bound, Thompson Sampling
• Natural Language Processing: Bag-of-words model and algorithms for NLP
• Deep Learning: Artificial Neural Networks, Convolutional Neural Networks
• Dimensionality Reduction: PCA, LDA, Kernel PCA
• Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost

Extra Benefits-

• You will get a Certificate of Completion.
• You will also get 74 articles and 38 downloadable resources.
• Along with that, you will get lifetime access to the course material.

Who Should Enroll?

• This course is for anyone who wants to learn Machine Learning.
• Students who have at least high school knowledge in math and who want to start learning Machine Learning.

Interested to Enroll?

If yes, then check out the details here- Machine Learning A-Z™: Hands-On Python & R In Data Science

2. Python for Data Science and Machine Learning Bootcamp

Rating- 4.6/5

Provider-Jose Portilla

Time to Complete- 25 hours

This is also one of the most popular courses available at Udemy. This course will teach you how to implement Machine Learning Algorithms. This course will also teach you how to use Pandas for Data Analysis, and Seaborn for statistical plots.

Now, let’s see the topics covered in this course-

Topics Covered-

• Programming with Python
• NumPy with Python
• Using pandas Data Frames to solve complex tasks
• Use pandas to handle Excel Files
• Web scraping with python
• Connect Python to SQL
• Use matplotlib and seaborn for data visualizations
• Use plotly for interactive visualizations
• Machine Learning with SciKit Learn, including:
• Linear Regression
• K Nearest Neighbors
• K Means Clustering
• Decision Trees
• Random Forests
• Natural Language Processing
• Neural Nets and Deep Learning
• Support Vector Machines
• and much more.

Extra Benefits-

• You will get a Certificate of Completion.
• You will also get 13 articles and 5 downloadable resources.
• Along with that, you will get lifetime access to the course material.

Who Should Enroll?-

• Those who have at least some programming experience.

Interested to Enroll?

If yes, then check out the details here- Python for Data Science and Machine Learning Bootcamp

3. Machine Learning, Data Science and Deep Learning with Python

Rating- 4.6/5

Time to Complete- 14.5 hours

This is a Python-oriented course for machine learning. This course has hands-on Python code examples which you can use for reference and practice.

In this course, you will learn Deep Learning / Neural Networks (MLPs, CNNs, RNNs) with TensorFlow and Keras, Sentiment analysis, Regression analysis, Reinforcement Learning, Feature Engineering, Hyperparameter Tuning, and much more.

After completing this course, there is one final project, which you need to complete.

Extra Benefits-

• You will get a Certificate of Completion.
• You will also get 6 articles and 1 downloadable resource.
• Along with that, you will get lifetime access to the course material.

Who Should Enroll?

• Those who know at least high school level math and some prior coding experience.

Interested to Enroll?

If yes, then check out the details here- Machine Learning, Data Science, and Deep Learning with Python

4. Tensorflow 2.0: Deep Learning and Artificial Intelligence

Rating- 4.6/5

Provider- Udemy

Time to Complete- 21 hours

This course is for beginner-level students. This course starts with some very basic machine learning models and advances to state-of-the-art concepts. After that,  you will learn deep learning concepts, such as Deep Neural Networks, Convolutional Neural Networks, and Recurrent Neural Networks.

Extra Benefits-

• You will get a Certificate of Completion.
• Along with that, you will get lifetime access to the course material.

Who Should Enroll?

• Those who are beginner and want to learn about deep learning and AI in Tensorflow 2.0.

Interested to Enroll?

If yes, then check out all details here-Tensorflow 2.0: Deep Learning and Artificial Intelligence.

5. Python & Machine Learning for Financial Analysis

Rating- 4.6/5

Time to Complete- 23 hours

Provider- SuperDataScience Team

This course is based on python and teaches you how to solve real-world problems in finance by using Python.

The course starts with python programming concepts, then teaches you python for financial analysis, and in the end, it covers how to perform stock price predictions by using machine learning algorithms.

In this course, you will learn about Deep Neural Networks such as Long Short Term Memory (LSTM) networks, K-Means Clustering, Principal Components Analysis, and Natural Language Processing (NLP) to perform stocks sentiment analysis.

Extra Benefits-

• You will get a Course Certificates upon completion.
• Besides this, you will get full lifetime access to the course material and 15 downloadable resources.

Who Should Enroll?

• There is no prerequisite for this course. Anyone who want to learn machine learning for finance can enroll in this course.

Interested to Enroll?

If yes, then check out all details here- Python & Machine Learning for Financial Analysis

6. Python, Machine Learning and Algorithmic Trading Masterclass

Rating- 4.4/5

Time to Complete- 20 hours

Provider- Mammoth Interactive

This course will teach you finance and algorithmic trading by using Python. At the beginning of the course, you will learn about python programming concepts, and later on, you will learn about machine learning and Quantopian.

As the course claim that they will teach python concepts too, but to understand the entire concepts, some previous python knowledge is good to have.

Extra Benefits-

• You will get a Course Certificates upon completion.
• Besides this, you will get full lifetime access to the course material and 19 downloadable resources.

Who Should Enroll?

• Those who have some prior knowledge in Python and willing to specialize in finance.

Interested to Enroll?

If yes, then check out all details here- Python, Machine Learning, and Algorithmic Trading Masterclass

7. Deep Learning A-Z™: Hands-On Artificial Neural Networks

Rating- 4.5/5

Provider- Kirill Eremenko

Time to Complete- 22.5 hours

This is the best course to learn deep learning. In this course, you will learn Artificial neural networks, convolutional neural networks, recurrent neural networks, self-organizing maps, Boltzmann machines, AutoEncoders, and the basics of regression and classification.

Throughout this course, you will work on Real-World datasets, to solve 6 Real-World business problems- Customer Churn problem, Image Recognition, Stock Price Prediction, Fraud Detection, and Recommender Systems.

The instructor of this course, Kirill is amazing and explains each topic very clearly.

Extra Benefits-

• You will get a Certificate of Completion.
• You will also get 37 articles and 5 downloadable resources.
• Along with that, you will get lifetime access to the course material.

Who Should Enroll?

• Those who have basic Python programming knowledge and High school mathematics.

Interested to Enroll?

If yes, then check it out here– Deep Learning A-Z™: Hands-On Artificial Neural Networks

8. PyTorch: Deep Learning and Artificial Intelligence

Rating- 4.7/5

Provider- Lazy Programmer Inc

Time to Complete- 23 hours

This is the best beginner-level course and starts with machine learning basics and then moves to the deep learning concepts such as Deep Neural Networks, Convolutional Neural Networks (image processing), and Recurrent Neural Networks.

This course includes various projects such as Deep Reinforcement Learning Stock Trading Bot, Recommender Systems, Generative Adversarial Networks (GANs), Transfer Learning for Computer Vision, and NLP.

So this is the perfect course for you if you want to get your hands dirty with some deep learning projects.

Extra Benefits-

• You will get a Certificate of completion.
• Along with this, you will get full lifetime access to the course materials.

Who Should Enroll?

• Those who can code in Python and Numpy and have prior understanding of derivatives and probability.

Interested to Enroll?

If yes, then check out all details here- PyTorch: Deep Learning and Artificial Intelligence.

9. Complete Tensorflow 2 and Keras Deep Learning Bootcamp

Rating- 4.7/5

Provider- Jose Portilla

Time to Complete- 19 hours

This course will teach you how to use TensorFlow 2 framework to create artificial neural networks for deep learning. This course leverage the Keras API to quickly and easily build models. 

In this course, you will learn how to build models to forecast future price homes, classify medical images, predict future sales data, generate complete new text artificially, etc.

Extra Benefits-

• You will get a Certificate of Completion.
• Along with that, you will get lifetime access to the course material.

Who Should Enroll?

• Those who knows Python and want to learn about TensorFlow 2 for deep learning and artificial intelligence.

Interested to Enroll?

If yes, then check out the details here- Complete Tensorflow 2 and Keras Deep Learning Bootcamp

10. PyTorch for Deep Learning with Python

Rating- 4.6/5

Instructor- Jose Portilla

Time to Complete- 17 hours

This course is the perfect balance between theory and practical understanding of deep learning with PyTorch. Throughout this course, you will work on various projects.

In this course, you will learn Neural Network Theory, Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Tensors with PyTorch, etc.

After completing this course, you will be able to build deep learning models. The instructor of the course Jose Portilla has years of experience as a professional instructor and trainer for Data Science and programming. 

In this course, Jose Portilla will give you access to notebooks to help you understand both code and explanations simply and easily.

Extra Benefits-

• You will get a Certificate of completion.
• Along with this, you will get full lifetime access to the course materials.

Who Should Enroll?

• Those who have previous knowledge in Python and want to learn PyTorch for deep learning.

Interested to Enroll?

If yes, then check out all details here- PyTorch for Deep Learning with Python

And here the list ends. So, these are the 10 Best Udemy Courses for Machine Learning.

I hope these Best Udemy Courses for Machine Learning will help you to learn concepts of Machine Learning. I would suggest you bookmark this article for future referrals. Now it’s time to wrap up.

Conclusion

In this article, I tried to cover the 10 Best Udemy Courses for Machine Learning. If you have any doubts or questions, feel free to ask me in the comment section.

All the Best!

Enjoy Learning!

Thank YOU!

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Though of the Day…

‘ Anyone who stops learning is old, whether at twenty or eighty. Anyone who keeps learning stays young.

– Henry Ford