chenzhivis Goto Github PK

analysis-and-classification-of-restaurant-reviews

Developed a NLP classification model that can classify negative reviews of restaurants, help restaurant managers save time on reviewing comments, absorbing information. Analyze the service defects, help restaurants improve business

analysis-of-diamond-features-and-price-prediction

The goals of this project are to establish machine learning model to predict diamonds prices, and use the model to check if online diamonds retailer websites have better prices or overcharge customers. In this project, various attributes of diamonds are analyzed by EDA, descriptive statistics and statistical tests to see how they influence values of diamonds. Also, prediction models are evaluated by RMSE and Z-Score to get the best model.

bank-telemarketing-outcome-prediction-and-decision-support

Developed machine learning models that can help bank tellers to predict telemarketing campaign response from clients. Analyzed precision-recall trade off, customized for models for different business scenarios

convolutional-neural-network-for-x-ray-film

data-visualization-dsc

dsc-json-lab-v2-1-nyc01-dtsc-ft-051120

dsc-learn-lessons-nyc01-dtsc-ft-051120

dsc-mod-1-project-v2-1-nyc01-dtsc-ft-051120

dsc-pca-in-scikitlearn-lab-nyc01-dtsc-ft-051120

dsc-word-vectorization-lab-nyc01-dtsc-ft-051120

emission-control-global-warming-analysis-and-prediction

This project is about energy efficiency and renewable energy topic. Developed multivariate time series model to forecast global warming. Analyzed various causes of global warming including energy consumption, emissions; examined correlation and causality of temperature, CO2 concentration, population time series. Discovered the logical connections, contributory factors, etc.

equity_trading_

learn-co-sandbox

nyc-mhtn-ds-051120-lectures

tensorflow_stock_price_predictor

A Keras/TensorFlow 2 LSTM model to predict the price of an ETF based on its prior prices, as well as the historical prices of holdings comprising it, the dow, and google trends for the ETF.