Transcription of PYTHON MACHINE LEARNING
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PYTHON MACHINE LEARNING
1 PYTHON MACHINE LEARNING from LEARNING PYTHON for Data Analysis and Visualization by Jose Portilla Notes by Michael Brothers Companion to the file PYTHON for Data Analysis. Table of Contents What is MACHINE LEARNING ? .. 3 Types of MACHINE LEARNING Supervised & Unsupervised .. 3 Supervised LEARNING .. 3 Supervised LEARNING : Regression .. 3 Supervised LEARNING : Classification .. 3 Unsupervised LEARNING .. 3 Supervised LEARNING LINEAR REGRESSION .. 4 Getting & Setting Up the Data .. 4 Quick visualization of the data: .. 4 Root Mean Square Error .. 6 Using SciKit Learn to perform multivariate regressions.
import pandas as pd from pandas import Series,DataFrame import matplotlib.pyplot as plt import seaborn as sns sns.set_style('whitegrid') %matplotlib inline from sklearn.datasets import load_boston boston = load_boston() print boston.DESCR provides a detailed description of the 506 Boston dataset records Quick visualization of the data:
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