Summary Python

M a s t


Pyth
in 15 Da

, Day 1




Understand and implement supervi
algorithms in Python.




: Scikit-Learn Classification Algo
learn.org/stable/supervised_lea
learning

,!& Given a CSV file with data about
their churn status (target), train a
classifier

& Implement a program that uses S
nearest neighbors (KNN) classifie
& Write a Python program that use
Random Forest classifier on a da
& Create a function that takes a Pa
a Gaussian Naive Bayes classifier
#& Given a CSV file with data about
and their grades (target), train a
(SVM) classifier

& Implement a program that uses S

, Day 2




Understand and implement supervi
algorithms in Python.


7 Scikit-Learn Regression Algorith
learn.org/stable/supervised_lea
learning