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Case 1. Scan*Pro Model ---> Between 2 stores, Predicting store A's demand, provided with A's sales, A's Price, A's Feature, A's Display, and B's Price
Case 2. Maoyan Film Data Crawlling
Case 3. Bass Model
in the new product diffusion model (BASS MODEL), I create a package ("BASS_MODEL") with a module "Bass" wrapping up an object, "BASS".
HOW TO USE IT?
Step 1: download it
Step 2: call it by: from BASS_MODEL.Bass import BASS
Step 3: dataframe = BASS(p,q,m,period=30)
Step 4: dataframe.continuous() # you also can output discrete or repeat purchase result
Case 4. Bayesian Optimization on XGBoost---> predicting listed companies' credits
Case 5. 2021 Meituan Business Analytics Elites Competition Project -----> crawling data by selenium, data cleaning, predictive analytics by machine learning (sci-kit learn), NLP Sentiment Analysis, World-Cloud Pictures, Bayesian Optimization-Xgboost*
Case 6. Kaggle Competition: use Tensorflow, Keras, & Scikit-learn to deploy deep neural network algorithms predicting virtual cities' area on Google CoLab. Ranked as top 5 team in-class.
Case 7. Birthday Card: use html & css to write a birthday card for my girl - Mango, who is 24-year-old.
Case 8. AB-InBev data analytics: construct a text mining optimization model and classical machine learning models to improve current models' accuracy rate (f1-score) and lower false-positive cases.