- Statistics
- Machine Learning Concepts
- Python coding
- Data visualization & Data Manipulation
- ML in practice
- Data Science Projects
- Statistics and Probability-Khan Academy free
Couse link
- Intro to Machine Learning - free
Course Link - Stanford University - CS229: Machine Learning: free
This is the course materials for the Stanford machine learning class taught by Andrew Ng. It's more in-depth than his Coursera course and includes lectures, assignments, and exams. Course Link: https://www.youtube.com/playlist?list=PLoROMvodv4rMiGQp3WXShtMGgzqpfVfbU - Coursera - Machine Learning by Andrew Ng: $
Taught by Dr. Andrew Ng, co-founder of Coursera and a leading AI researcher, this course is a great starting point. It covers the fundamentals of machine learning and is beginner-friendly. - Udemy - Machine Learning A-Z $
Course link - In-depth introduction to machine learning in 15 hours of expert videos (by Prof. Trevor Hastie, Prof. Rob Tibshirani, Stanford) - free
Course link
- Fast.ai - Practical Deep Learning for Coders:
This is an excellent resource for practical deep learning. The course is focused on making deep learning accessible to people with coding experience but not necessarily a strong math background. Course link - MIT OpenCourseWare - Introduction to Deep Learning: \ MIT's Introduction to Deep Learning course is available for free online. It provides an in-depth understanding of deep learning concepts and techniques. Course link
- Deep Learning Specialization (by Andrew Ng, deeplearning.ai) - Courses:
Paid for grading/certification, financial aid available, free to audit. Course link - Machine Learning Course (2014-15 session) (by Nando de Freitas, University of Oxford) - Lecture slides and videos available
Course link
- Kaggle Courses:
Kaggle, a platform for data science and machine learning competitions, offers various free courses covering topics from data visualization to deep learning. Course link