1. Understanding Data Mining in a Nutshell
  2. Basic Statistics and Exploratory Data Analysis
  3. Digging into Linear Regression
  4. Exploring Logistic Regression
  5. Decision Trees with Bagging and Boosting
  6. Support Vector Machines and K-Nearest Neighbors
  7. Putting Dimensionality Reduction into Action
  8. Beginning with Unsupervised Models
  9. Structured Data Classification using Artificial Neural Networks
  10. Language Modeling with Recurrent Neural Networks
  11. Image Processing with Convolutional Neural Networks
  12. Understanding Model Risk Management for Data Mining Models
  13. Adopting ModelOps to Manage Model Risk