A Compilation of Everything I know

For my own personal reference.

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Modules Taken:
DSA1101, DSA2101, DSA2102, DSA3101, DSA3102, DSA4211
CS1010, CS1231, CS2040, CS2102, CS3243, CS3244
MA1101R, MA1102, MA2104
ST2131, ST2132, ST3131, ST3233, ST3247

SP1541, GER1000, GEQ1000, GES1003, GET1025, GEH1033
LSM1301, PLS8001, PLS8003, CFG1002,

Data Things

Data Cleaning

Data Manipulation

Dimensionality Reduction

• Principal Components Regression (PCR)
• Partial Least Squares (PLS)
• Sure Independence Screening (SIS)
• Sliced Inverse Regression (SIR)

Machine Learning Methods

Supervised

Regression

• Linear Regression (Feature Engineering eg. Polynomial Values)
• Subset Selection (Best subset, forward/backwards stepwise)
• Shrinkage Methods
  • Ridge Regression
  • Lasso
  • SCAD

Classification

• Logistic Regression
• LDA/QDA

Usable for both Regression and Classification

• K-Nearest Neighbors
• Decision Trees
  • Bagging & Bootstrap
  • Random Forest
  • Boosting
• Neural Networks
  • Convolutional Neural Networks
  • LSTM & GRU

Unsupervised

• K-Means Clustering
• Hierarchical Clustering
• Principal Components Analysis (PCA)