Machine Learning Implementation

Using training data to predict testing data by using following machine learning models:

Decision Tree, Random Forest, SVM, KNN, Logistic Regression, Gaussian NB,

XGBoost, Light GBM

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PS... Imbalance training data problems still have to be solved in the future.

Kaggle Competition URL: https://www.kaggle.com/c/nthuds2021hw3/leaderboard