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Pypeteer-QiChacha Public
Using Pypeteer crawled basic information and Administrative penalty information
Python UpdatedFeb 15, 2022 -
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Massive-Data-Mining Public
Codes for COSI-120A Massive Data Mining
Jupyter Notebook UpdatedDec 11, 2020 -
Data mining projects include predicting risk score of chronic diseases with NHANES data and analysis of patient and insurance claim data.
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Urban-Sound-Classification Public
Using UrbanSound8K dataset from Kaggle, conducted feature extraction by MFCC, MEL-Spectrogram and Chroma_stft, trained a 2D CNN, achieved accuracy of 92.8 %, using Python (tensorflow, kera, librosa)
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The introduction and code implementation of the paper "Transfer Feature Learning with Joint Distribution Adaptation"
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Processed over 30 million observations; conducted inactive customer diagnosis and loyalism analysis using MySQL; visualized consumer behavior on private labeled product with Python (matplot, seaborn)
Python UpdatedMay 6, 2020 -
Using regression (multi-linear regression), classification (KNN, Random Forest, Logistic regression, LGBTree), clustering (k-means) models to predict the production of small hydro and try to find o…
UpdatedMay 6, 2020 -
transferlearning Public
Forked from jindongwang/transferlearningEverything about Transfer Learning and Domain Adaptation--迁移学习
Python MIT License UpdatedApr 27, 2020 -
k-Means-Clustering Public
Forked from antonypaulson/k-Means-ClusteringK-Means clustering revision with silhouette score
Jupyter Notebook UpdatedJul 27, 2019 -
MetaCost Public
Forked from Treers/MetaCostP. Domingos proposed a principled method for making an arbitrary classifier cost-sensitive by wrapping a cost-minimizing procedure around it. The procedure, called MetaCost, treats the underlying c…
Python UpdatedMay 20, 2019
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