Machine Learning
Preface
1
Projects
2
Machine Learning Fundamentals
2.1
definitions
2.1.1
Data Science
2.1.2
Bootstrapping
2.1.3
Classification Models: Evaluation
2.2
Elastic Net Model
2.3
Survival Analysis
2.3.1
References
2.3.2
Time to event analysis
2.3.3
Kaplan-Meier
2.3.4
The basics of Survival Analysis
2.3.5
Prosper Loan data
2.3.6
Customer Churn
2.3.7
Deploying a Scalable End to End Customer Churn Prediction Solution with AWS
Personal Repo Home
Projects Repository
Chapter 1
Projects
DataTab Statistics Tutorials