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Feature Extraction (Dimensionality Reduction II)
e.g. PCA
Missing Value Handling
Missing Data Imputation and Model Checking:
https://cran.r-project.org/web/packages/mi/mi.pdf
Iteration 2: CV instead of split sample
Train Classification Algorithms
Data Encoding
Scaling Numeric Variables
Coding of Categorical Variables
Iteration 2: Ensembled Method
using caret: https://cran.r-project.org/web/packages/caretEnsemble/vignettes/caretEnsemble-intro.html
Boosting??
Advanced Feature Selection
Exploratory Data Analysis
Feature Selection (Dimensionality Reduction I)
Outlier Detection & Handling
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