labs
- Lab 1: Introduction to Python and its Numerical Stack (Sep. 06, 2018)
- Lab 2: Python for Data Collection and Cleaning (Sep. 13, 2018)
- Lab 3: Scikit-learn for Regression (Sep. 20, 2018)
- Lab 4: Multiple and Polynomial Linear Regression (Sep. 27, 2018)
- Lab 5: Regularization and Cross-Validation (Oct. 04, 2018)
- Lab 6: Classification and Dimensionality Reduction (Oct. 18, 2018)
- Lab 7: NumPy for Building Artificial Neural Network and Dealing with Missing Values (Oct. 27, 2018)
- Lab 8: Discriminant Analysis - A tale of two cities (Nov. 01, 2018)
- Lab 9: Decision Trees, Bagged Trees, Random Forests and Boosting (Nov. 08, 2018)
- Lab 10: Keras for Artificial Neural Network (Nov. 15, 2018)
- Lab 11 README (Dec. 02, 2018)
- Lab 11: Italian Olives (Dec. 02, 2018)