Day 0 (pre-reqs):

Topic Link
Linear algebra: matrix operations https://www.youtube.com/watch?v=p48uw2vFWQs
Tensors & vectors https://www.youtube.com/watch?v=bpG3gqDM80w
Derivatives (power rule) https://www.youtube.com/watch?v=x3iEEDxrhyE
Chain rule https://www.youtube.com/watch?v=_x1nCg2LfuA

Day 1:

C1W1.pdf

Topic Links
Andrew Ng’s ML specialization course https://www.deeplearning.ai/specializations/machine-learning Course 1 Week 1
Notes ‣
Github ‣

Day 2:

C1W2.pdf

Topic Links
Andrew Ng’s ML specialization course https://www.deeplearning.ai/specializations/machine-learning Course 1 Week 2
Notes ‣
Github ‣

Day 3

Topic Links
Andrew Ng’s ML specialization course https://www.deeplearning.ai/specializations/machine-learning Course 1 Week 3
Github ‣
Instead of the learning the math, here’s the blackbox: https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html

Day 4

Topic Links
Andrew Ng’s ML specialization course https://www.deeplearning.ai/specializations/machine-learning Course 1 Week 3
Github ‣