ML homeworks

HW1:

section A:

• Decision Tree
• Adaboost

section B:

• Classification
• Regression

section C:

• Comparison to Sklearn

section D (Bonus):

• Gradient Boost Regressor

HW2:

section A:

• Data Exploration and Visualization

section B:

• Data Pre-processing

section C: Unit Sales Prediction

• Gradient Boosting
• Decision Tree
• Random Forest
• AdaBoost

section D: Rainy Day Prediction

• Random Forest
• Decision Tree
• K Neighbors Classifier
• AdaBoost

Section E (Elevation Estimation - Bonus)

Section F (Clustering - Bonus)

• KMeans

HW3:

Section A:

• Visualization
• Data Exploration and Pre-processing

Section B: Dimensionality Reduction

• PCA
• T-SNE
• Worst/Best features

Section C (Regression 2010 and 2012 and comparison)

• Gradient Boosting
• Random Forest
• AdaBoost

Section D (Classification)

• SVM
• Decision Tree
• Random Forest
• Gradient Boosting

Section E (Bonus)

• Predict the next election