Free Machine Learning Courses

Free Machine Learning Courses

Embarking on the exciting journey of mastering Machine Learning (ML) doesn't have to come with a hefty price tag. Thanks to the generosity of renowned institutions and platforms, there is a plethora of high-quality ML courses available for free. In this thread, I've curated a list of exceptional courses that cater to both beginners and professionals, covering everything from fundamentals to advanced applications.

Machine Learning Specialization by Andrew Ng:

Link: Machine Learning Specialization

Kickstarting our list is the classic "Machine Learning Specialization" by the pioneer himself, Andrew Ng. Delve deep into ML concepts, from algorithms to practical applications. The course is free for auditing, allowing you to watch all video lectures. If you seek lab access and certification, there's an option to pay for these additional features.

ML courses by Kaggle:

Links:

Kaggle, a popular platform for ML and Data Science challenges, offers a series of free ML courses. Covering introductory and intermediate levels, these courses provide hands-on experience and practical skills crucial for real-world applications.

Google's Machine Learning Crash Course:

Link: Google's Machine Learning Crash Course

Google's ML Crash Course is a must-try for those seeking a solid foundation in ML fundamentals. With a focus on hands-on learning using TensorFlow, this crash course equips you with practical skills that can be applied directly to your projects.

Machine Learning Full Course - by Edureka:

Link: Machine Learning Full Course

Ideal for both beginners and professionals, this 10-hour tutorial by Edureka covers a comprehensive range of ML algorithms. Whether you are just starting or looking to deepen your understanding, this course provides a condensed yet thorough learning experience.

Machine Learning Introduction for Everyone by IBM:

Link: Machine Learning Introduction for Everyone

IBM's machine learning course caters to beginners, offering a solid introduction to the basics of ML. As you progress, you can seamlessly transition to more advanced courses. The best part? It's free for auditing, ensuring accessibility for all.

Conclusion:

Embark on your machine learning journey without breaking the bank, courtesy of these free and invaluable resources. Whether you're a novice eager to grasp the fundamentals or a professional seeking to enhance your skill set, these courses provide a diverse range of learning experiences. Dive in, explore, and elevate your machine learning expertise today!

#AI #MachineLearning #DataScience #Free #Courses