menghonghan Goto Github PK

chatgpt-on-wechat

covid-19-tracker

GUI designed by Plotly Dash

grocery-shopping-behavior-big-data-analysis

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)

healthcare-data-mining-projects

Data mining projects include predicting risk score of chronic diseases with NHANES data and analysis of patient and insurance claim data.

k-means-clustering

K-Means clustering revision with silhouette score

massive-data-mining

Codes for COSI-120A Massive Data Mining

metacost

P. 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 classifier as a black box, requiring no knowledge of its functioning or change to it.

predict-small-hydro-production-in-california

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 out main impactors and certain patterns using R.

pypeteer-qichacha

Using Pypeteer crawled basic information and Administrative penalty information

sturmgang

tansfer-feature-learing-with-jda-implementation-

The introduction and code implementation of the paper "Transfer Feature Learning with Joint Distribution Adaptation"

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

urban-sound-classification

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)