Predictive Analytics - Class Notes

✉ cesar.acostamejia@gmail.com
  • Lab 1: Introduction
    • Lab 2: Pandas
      • Lab 3: Pandas - Data Visualization
        • Lab 4: Linear Regression. Libraries sklearn, statsmodels
          • Lab 5: Linear Regression. Categorical variables - encoding
            • Lab 6: Overfitting and Cross validation
              • Lab 7: Classification - Logistic Regression, KNN
                • Lab 8: Regularization - Ridge and Lasso regression
                  • Lab 10: CART Models
                    • Lab 11: Ensemble methods
                      • Lab 12: SVM models
                        • Lab 13: Neural Network models
                          • Lab 14: Deep Learning models