Skip to content

This is the Curriculum to learn Machine Leaning from scratch to expert.

Notifications You must be signed in to change notification settings

saadhaxxan/Learn_Machine_Learning_in_5_Months

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

16 Commits
 
 

Repository files navigation

Learn Machine Learning in 5 Months

Note: If you know concepts from one course you can skip it.

Month 1

Week 1,2 Linear Algebra

https://www.youtube.com/watch?v=kjBOesZCoqc&index=1&list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab

Week 3-4 Calculus

https://www.youtube.com/playlist?list=PLZHQObOWTQDMsr9K-rj53DwVRMYO3t5Yr

Month 2

Week 1,2,3 Statistics & Probability

https://www.youtube.com/watch?v=uuF6z0Yt2Wk&list=PLPzjifo9TUNX8UKgRBKgMGF5nYB_uEe0h

Week 4 Scikit Learn

https://www.youtube.com/watch?v=pqNCD_5r0IU

Month 3

Week 1-2

Maths for ML every Algorithm and Model

https://www.youtube.com/watch?v=xRJCOz3AfYY&list=PL2-dafEMk2A7mu0bSksCGMJEmeddU_H4D

Week 3-4

ML Project Ideas https://github.com/NirantK/awesome-project-ideas

Month 4

Week 1,2

Machine Learning with Python: from Linear Models to Deep Learning

https://www.edx.org/course/machine-learning-with-python-from-linear-models-to-deep-learning

Week 3,4

Intro to TensorFlow for Deep Learning by TensorFlow

https://www.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187

Month 5

Week 1,2

Deep Learning with TensorFlow

https://www.youtube.com/watch?v=tPYj3fFJGjk&t=1s

Week 3-4

Re-implement DL projects from Siraj Raval's github https://github.com/llSourcell?tab=repositories
OR
Solve Challenges from Kaggle
https://kaggle.com