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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