Course Outline

Overview - Artificial Intelligence Training Program

1. Black Box Introduction to Artificial Intelligence

2. Essential NumPy

3. Pandas for Machine Learning

4. Understanding Visualization

5. Linear Models for Classification & Regression

6. Preprocessing for Machine Learning

7. Decision Trees

8. Naive Bayes

9. Composite Estimators using Pipelines & Feature Unions

10. Model Selection & Evaluation

11. Feature Selection & Dimensionality Reduction

12. Nearest Neighbors

13. Clustering Techniques

14. Anomaly Detection

15. Support Vector Machines

16. Dealing with Imbalanced Classes

17. Ensemble Methods

18. Recommendation Engine