Class notes Introduction to Machine leaning with python

Introduction to
Machine
Learning
with Python
A GUIDE FOR DATA SCIENTISTS

,
,Introduction to Machine
Learning with Python
A Guide for Data Scientists

, Table of Contents




Preface. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . vii

1.
Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
............. 1
Why Machine Learning?
1 Problems Machine Learning Can Solve 2
Knowing Your Task and Knowing Your Data
4
Why Python?
5 scikit-learn
5
Installing scikit-learn
6
Essential Libraries and Tools
7
Jupyter Notebook
7 NumPy
7 SciPy
8 matplotlib
9 pandas
10 mglearn
11
Python 2 Versus Python 3
12
Versions Used in this Book
12
A First Application: Classifying Iris Species
13 Meet the Data
14