10 Best Machine Learning Courses Online for Beginners in 2024

Do you want to learn Machine Learning and looking for the Best Machine Learning Courses Online for Beginners?… If yes, then this article is for you. In this article, you will find the 10 best machine learning courses online for beginners.

So, give your few minutes to this article and find out the best machine learning course online for beginners. Now without any further ado, let’s get started-

Best Machine Learning Courses Online for Beginners

These courses are filtered out on the following criteria-

Criteria-

1. Rating of these Courses.
2. Coverage of Topics.
3. Engaging trainer and Interesting lectures.
4. Number of Students Benefitted.
5. Good Reviews from various aggregators and forums.

1. Machine Learning– Coursera

Provider- Stanford University

Instructor- Andrew Ng

Rating- 4.9/5

Time to Complete- 60 hours

This is one of the Best Online Courses for Machine Learning Beginners. This course is created by Andrew Ng the Co-founder of Coursera, and an Adjunct Professor of Computer Science at Stanford University.

This course provides you with a broad introduction to machine learning, data mining, and statistical pattern recognition.

All the math required for Machine Learning is well discussed in this course.

This course uses the open-source programming language Octave. Octave gives an easy way to understand the fundamentals of Machine Learning.

Extra Benefits-

• You will get a Shareable Certificate. Along with that, you will learn various case studies and applications. That will teach you how to apply machine learning algorithms to building smart robots.
• You will also learn text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and others.

Who Should Enroll?

• This Course is Most Suitable for Complete Beginners. But people with some basic understanding of ML can also enroll.

Interested to Enroll?

If yes, then check out the details here- Machine Learning

2. Intro to Machine Learning– Udacity

Time to Complete- 1 Week

This is a beginner-level free machine learning course on Udacity. In this course, you will get a complete understanding of machine learning basics. There is no prior experience is required to enroll in this Free course. Anyone who is a beginner can enroll in this course.

Interested to Enroll?

If yes, then check it out here– Intro to Machine Learning

3. Machine Learning with Python– Coursera

Provider- IBM

Rating- 4.7/5

Time to Complete- 22 hours

This is another best machine learning course online for beginners. This course starts with the basics of Machine Learning. Python is used in this course to implement Machine Learning algorithms.

The best part of this course is the practical advice given after each machine learning algorithm. Before starting a new algorithm, the trainer gives you the details of how the algorithm works, its pros, cons, and which type of problem can be solved by this algorithm.

Extra Benefits-

• You will get a Shareable Certificate. Along with that, you will earn an IBM digital badge.
• You will get FREE career resources after completing the Professional Certificate.
• This course includes Resume builder and Mock interviews.

Who Should Enroll?

• This course is good for beginners in Machine Learning, who wanna learn Machine Learning with Python.

Interested to Enroll?

If yes, then check out the details here- Machine Learning with Python

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

Rating- 4.5/5

Provider- SuperDataScience Team

Time to Complete- 44 hours

This is the Bestseller Course at Udemy. I personally 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, then 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.

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

5. Intro to Machine Learning with TensorFlow– Udacity

Time to Complete- 3 months (if you spend 10 hrs/week)

Rating- 4.7/5

In this Nano-Degree program, you will learn foundational machine learning algorithms, starting with data cleaning and supervised models. Then this program will cover deep and unsupervised learning.

The best part of this program is that at each step, you will get practical experience by applying your skills to code exercises and projects.

There are 3 courses in this Nanodegree program, where you will learn about supervised machine learning algorithms such as Regression, Perceptron Algorithms, Decision Trees, Naive Bayes, Support Vector Machines, Evaluation Metrics, etc.

You will also learn Deep learning and learn how to build an image classifier. Then you will learn about unsupervised learning algorithms such as Clustering, Hierarchical, and Density-Based Clustering, Gaussian Mixture Models, and Dimensionality Reduction.

Extra Benefits-

• You will get a chance to work on Real-world projects.
• You will get Technical mentor support.
• Along with that, you will get Resume services, Github review, LinkedIn profile review.

Who Should Enroll?

• This is especially for those who have experience in Python but have not yet studied Machine Learning topics.

Interested to Enroll?

If yes, then check it out here- Intro to Machine Learning with TensorFlow 

6. Machine Learning Scientist with Python– Datacamp

Time to Complete- 93 hours

Type- Career Track

This is a career track offered by Datacamp. There are 23 courses in this career track and begin with supervised learning with scikit learn. In this course, you will learn supervised, unsupervised, and deep learning.

Along with this, you will learn natural language processing, image processing, and libraries such as Spark and Keras.

In this career track, you will also learn how to approach and win Kaggle competitions.

Who Should Enroll?

• Those who are beginner in Machine learning and looking for step by step career guidance.

Interested to Enroll?

If yes, then check out the course details here- Machine Learning Scientist with Python

7. Understanding Machine Learning with Python– Pluralsight

Provider- Pluralsight

Time to Complete- 1 hour 53 minutes

Level- Beginner

In this course, you will learn how to perform Machine Learning with Python. After completing the course, you will be able to use Python and the scikit-learn library to create Machine Learning solutions. Throughout the course, you will utilize Python and its libraries to make machine learning models.

Who Should Enroll?

• Those who want to learn the basics of machine learning with Python. And who is familiar with software development in general and basic statistics.

Interested to Enroll?

If yes, then check out the details here- Understanding Machine Learning with Python

8. Machine Learning for All– Coursera

Provider- University of London

Rating- 4.7/5

Time to Complete- 22 hours

This is a beginner-level course where you will get a basic idea of machine learning, even if you don’t have any background in math or programming. You will also get hands-on and use user-friendly tools developed at Goldsmiths, the University of London to actually train a machine learning model to recognize images.

But this course doesn’t cover programming-based machine learning tools like python and TensorFlow. That’s why anyone can do this course just to understand the fundamentals of machine learning.

Extra Benefits-

• You will get a Shareable Certificate and Course Certificates upon completion.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Who Should Enroll?

• Those who just want to understand the basics of machine learning without any programming and mathematical understanding.

Interested to Enroll?

If yes, then check out all details here- Machine Learning for All

9. Machine Learning for Everyone– Datacamp

Time to Complete- 4 hours

Type- Course

This Datacamp course is best for you if you are an absolute beginner in machine learning. In this course, you will learn all the basics of machine learning such as What is machine learning, machine learning models, and how does machine learning work.

There are 3 chapters in this course-

1. What is Machine Learning?
2. Machine Learning Models
3. Deep Learning

Who Should Enroll?

• Those who are absolute beginner in machine learning.

Interested to Enroll?

If yes, then check out the course details here- Machine Learning for Everyone

10. Get started with Machine Learning– Codecademy

Time to Complete- 7 weeks

Type- Skill Path

This is another Beginner-friendly skill path for Machine Learning from Codecademy. The best part of this course is its Step by Step guide.

This course starts with the basics of machine learning. After completing the basics of machine learning, you will work on 3 different projects- Handwriting Recognition, Sports Vector Machine, and Breast Cancer Classifier.

Extra Benefits-

• After completing this course you are able to clean and manipulate the data, you know which model to choose for different problems.
• Along with that, you will get a step by step guidance.

Who Should Enroll?

• Those who want to level up their Python Learning and a beginner and want to learn Machine Learning

Interested to Enroll?

If yes, then check out the details here- Get started with Machine Learning

And here the list ends. So, these are the 10 Best Machine Learning Courses Online for Beginners. I will keep adding more courses to this list.

Conclusion

I hope these 10 Best Machine Learning Courses Online for Beginners will help you to enhance your machine learning skills. 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