Practical Predictive Analytics > PACKT 원서리스트

1 Getting Started with Predictive Analytics

2 The Modeling Process

3 Inputting and Exploring Data

4 Introduction to Regression Algorithms

5 Introduction to Decision Trees, Clustering, and SVM

6 Using Survival Analysis to Predict and Analyze Customer Churn

7 Using Market Basket Analysis as a Recommender Engine

8 Exploring Health Care Enrollment Data as a Time Series

9 Introduction to Spark Using R

10 Exploring Large Datasets Using Spark

11 Spark Machine Learning - Regression and Cluster Models

12 Spark Models – Rule-Based Learning