6
Predictive Modeling
Advanced Data Science Programming
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Preface
About the Book
1
Advanced Programming
2
Modularization & OOP
3
API & Data Integration
4
Advanced Data Wrangling
5
Feature Engineering
6
Predictive Modeling
7
Interactive Visualization
8
Performance Evaluation
9
Deployment
10
MLOps & Monitoring
Table of contents
6.1
Regression & classification
6.2
Clustering
6.3
Model training & validation
6.4
Metrics (AUC, RMSE, etc.)
6.5
Regularization
6.6
Ensembles
6.7
Intro to deep learning
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6
Predictive Modeling
6.1
Regression & classification
6.2
Clustering
6.3
Model training & validation
6.4
Metrics (AUC, RMSE, etc.)
6.5
Regularization
6.6
Ensembles
6.7
Intro to deep learning
5
Feature Engineering
7
Interactive Visualization