Data Science with Python jupyter book

This is the jupyter book of the github repo Data Science with Python. Contents of this course are used in the study abroad subject with the same name at the Faculty of Sciences, Technology and Engineering at the UVic-UCC.

Theory

• Introduction to Python

• UNIT 1. Introduction

• UNIT 2. Statistical Learning

• UNIT 3. Monte Carlo methods

• UNIT 4. Unsupervised Learning

• UNIT 5. Regression

• UNIT 7. Classification

• UNIT 7. ROC and precision-recall curves

• UNIT 7. Support Vector Machines

• UNIT 8. Decision trees

• UNIT 9. Neural Networks

• (…)

Code

• 1. About the course Data-Science-with-Python
• 2. UNIT 1. Import and Visualitzation of data with Python
• 3. UNIT 2. Statistical Learning
• 4. UNIT 3. Monte Carlo methods
• 5. UNIT 4. Unsupervised Learning
• 6. UNIT 5. Regression
• 7. UNIT 6. Regularization and kernel methods
• 8. UNIT 7. Classification
• 9. Naive Bayes
• 10. Linear and quadratic discriminant analysis
• 11. \(K\)-Nearest Neighbors Classification
• 12. Suport vector machine
• 13. Testing classifiers
• 14. EX3: Accuracy metrics
• 15. ROC curves
• 16. UNIT 8. Decision Tres
• 17. UNIT 9. Neural Networks