table of contents
-
intro
-
python
-
viz
-
statistics
-
probability
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hypothesis and inference
-
gradient descent
-
working with data
-
machine learning
-
k-nearest neighbors
-
naive bayes
-
simple linear regression
-
multiple regression
-
logistic regression
-
decision trees
-
neural networks
-
go forth