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Popular repositories

  1. ML-Regression-House-Price-Prediction-with-Random-Forest-Regressor ML-Regression-House-Price-Prediction-with-Random-Forest-Regressor Public

    In this project, I use the Random forest algorithm to build the house price prediction model on a dataset with 16 features and 4600 samples from Kaggle. Random Forest Regressor will be an optimal a…

    Jupyter Notebook 1

  2. ML-Classification-Breast-Cancer-Diagnosis-via-PCA-Linear-Regression-and-Logistic-Regression ML-Classification-Breast-Cancer-Diagnosis-via-PCA-Linear-Regression-and-Logistic-Regression Public

    The goal of this project is to compare the performance of Principle Component Analysis, Linear Regression, and Logistic Regression models on the automatic diagnosis of breast cancer.

    MATLAB

  3. Big-Data-and-NLP-Inverted-Index-Database-for-19-000-Reuters-News-Articles Big-Data-and-NLP-Inverted-Index-Database-for-19-000-Reuters-News-Articles Public

    This project is about implementing an inverted index using Apache Spark（PySpark）to build a relational database (SQLite) for 19,000 Reuters News Articles.Storing the index in a database offers the b…

    Jupyter Notebook

  4. NLP-and-Visualization-Sentiment-Analysis-with-300MM-Russsian-Troll-Tweets NLP-and-Visualization-Sentiment-Analysis-with-300MM-Russsian-Troll-Tweets Public

    This report presents text mining data analyses in Python on 3 million tweets associated with a Russian Internet Research Agency. Python libraries(nltk, bs4 and re) is applied to clean the text cont…

    Jupyter Notebook

  5. Hypothesis-Test-and-Correlation-Analysis-Rental-Subsidy-Rate-across-PHC-in-BC Hypothesis-Test-and-Correlation-Analysis-Rental-Subsidy-Rate-across-PHC-in-BC Public

    Applied KS test and T-test to check whether rental subsidy rate’s distributions are different across different PHAs and implemented Pearson-correlation analysis to explore the linear correlation be…

    R

  6. ML-Clustering--Hierarchical-Clustering-and-K-means-Clustering ML-Clustering--Hierarchical-Clustering-and-K-means-Clustering Public

    Implemented two types of clustering methods, Lloyd’s algorithm (“k-means”) and hierarchical agglomerative clustering, on two datasets to compare their performance based on their clustering results.

    Jupyter Notebook 1