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A comparison between Statistical, Machine Learning, PCA, SVD, and REFÂ methods
Sampling unbalanced dataset using SMOTE and creating a classifier to classify if a HR will stay or leave.
This notebook illustrates feature selection reverting many of the selection method results into pandas dataframes so that you get the appropriate column headings.
A logistic regression model to predict users who can churn given their demographics, services availed and expenses.