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imbalanced-dataset

marketing-analysis-with-clustering

Customer segmentation is always the fascinating problem for every business. In this project, I will introduce the most common technique in segmentation is cluster analysis. This help us explore the similarity between each customer and then group them as the same cluster who share the same behavior

mnist-classification-with-pca

The idea of this project is to apply PCA to MNIST dataset and then build a classifier

rainaus-prediction

survival_rate_prediction

As the final project of the Categorical Analysis class, I implemented Logistic Regression to identify the important features that influence the survival rate the most

text-clustering-topic-modeling

This project aims to study the difference between text clustering and topic modeling.