Machine Learning With Python Programming : 2023 A Beginners Guide

Machine Learning With Python Programming : 2023 A Beginners Guide
 
Chapter 1 Overview of Artificial Intelligence.............................16
 
Chapter 2 Python Machine Learning Ecosystem.........................45
 
Chapter 3 A Quick Course on SciPy and Python.........................15
 
Chapter 4 How to Import Data for Machine Learning..................27
 
Chapter 5  Use Descriptive Statistics to Gain Understanding of Your Data  31
 
Chapter 6 Understand Your Data With Visualization...................38
 
Chapter 7 Get Ready for Machine Learning with Your Data...........47
 
Chapter 8 Choosing Features for Machine Learning....................52
 
Chapter 9 Analyze Machine Learning Algorithms' Performance Using Resampling  57
 
Chapter 10 Performance Measures for Algorithms in Machine Learning  64
 
Chapter 11 Spot-Check Classification Algorithms.......................70
 
Chapter 12 Algorithms for Spot-Check Regression.....................76
 
Chapter 13 Compare Machine Learning Algorithms....................84
 
Chapter 14 Use Pipelines to Automate Machine Learning Workflows87
 
Chapter 15 Boost Performance in Group Settings......................91
 
Chapter 16 Boost Efficiency via Algorithm Adjustment................98
 
Chapter 17 Store and Import Deep Learning Models..................101
 
Chapter 18 Template for Predictive Modeling Projects...............105
 
Chapter 19 Your First Machine Learning Project in Python Step-By-Step  111
 
Chapter 20 Regression Machine Learning Case Study Project......124
 
Chapter 21 Binary Classification Machine Learning Case Study Project  144
 
Chapter 22 More Predictive Modeling Projects.........................165
 
INTRODUCTION
 
Chapter 1 Overview of Artificial Intelligence
 
Chapter 2 Python Machine Learning Ecosystem
 
Chapter 3 A Quick Course on SciPy and Python
 
Chapter 4 How to Import Data for Machine Learning
 
Chapter 5  Use Descriptive Statistics to Gain Understanding of Your Data
 
Chapter 6 Understand Your Data With Visualization
 
Chapter 7 Get Ready for Machine Learning with Your Data
 
Chapter 8 Choosing Features for Machine Learning
 
Chapter 9 Analyze Machine Learning Algorithms' Performance Using Resampling
 
Chapter 10 Performance Measures for Algorithms in Machine Learning
 
Chapter 11 Spot-Check Classification Algorithms
 
Chapter 12 Algorithms for Spot-Check Regression
 
Chapter 13 Compare Machine Learning Algorithms
 
Chapter 14 Use Pipelines to Automate Machine Learning Workflows
 
Chapter 15 Boost Performance in Group Settings
 
Chapter 16 Boost Efficiency via Algorithm Adjustment
 
Chapter 17 Store and Import Deep Learning Models
 
Chapter 18 Template for Predictive Modeling Projects
 
Chapter 19 Your First Machine Learning Project in Python Step-By-Step
 
Chapter 20 Regression Machine Learning Case Study Project
 
Chapter 21 Binary Classification Machine Learning Case Study Project
 
Chapter 22 More Predictive Modeling Projects