Machine Learning with Spark and Python, Essential Techniques for Predictive Analytics, 2ed, An Indian Adaptation
Description
Machine Learning with Spark and Python: Essential Techniques for Predictive Analytics, Second Edition
Unlock the power of machine learning with Spark and Python in this updated second edition, designed for practical, real-world applications. This edition introduces Apache Spark, a powerful framework that simplifies processing of large data sets for faster,. With easy-to-follow examples, you'll learn how to implement two key machine learning algorithms using Python code—without needing advanced programming skills. Ideal for students and professionals looking to master ML techniques and boost their data science expertise.
Table of Contents
Introduction
Chapter 1 The Two Essential Algorithms for Making Predictions
Chapter 2 Understand the Problem by Understanding the Data
Chapter 3 Predictive Model Building: Balancing Performance, Complexity, and Big Data
Chapter 4 Penalized Linear Regression
Chapter 5 Building Predictive Models Using Penalized Linear Methods
Chapter 6 Ensemble Methods
Chapter 7 Building Ensemble Models with Python
Case Study 1 Flipkart – Enhancing Customer Experience with Machine Learning and Spark
Case Study 2 Ola Cabs – Optimizing Ride Pricing and Demand Prediction
Appendix A Application of Machine Learning with Spark and Python –Essential Techniques for Predictive Analytics
Appendix B Questions
Index