Decision Tree and Random ForestI would like to share the youtube link of my talk for Women Who Code: Decision Tree and Random Forest. If you are interested please click…Dec 9, 2020Dec 9, 2020
Principle Components Analysis (PCA): Essence and Case Study with Python1. What is PCAAug 16, 2020Aug 16, 2020
COVID-19 Cases in California, USCDC confirms the first COVID-19 suspected local transmission case in California on 2–26–2020, this case had no travel history to an…Apr 4, 2020Apr 4, 2020
Trends of Confirmed Cases in Each State, UsIt is too complicated to predict the trends of COVID-19, because the confirmed cases is controlled by too many factors, natural or…Mar 29, 2020Mar 29, 2020
Collaborative Filtering Recommendation with Co-Occurrence AlgorithmBackground and TheoryJan 4, 20201Jan 4, 20201
Tips of Exploratory Data Analysis with PythonUnderstand high level knowledge about dataAug 31, 2019Aug 31, 2019
Predict Amazon Review Helpfulness wihtXgboost, Neural Network, and LSTM Neural Network— — Machine Learning and feature engineer of text dataAug 11, 2019Aug 11, 2019
Two Machine Learning Algorithms to Predict: Xgboost, Neural Network with Entity EmbeddingAmong different machine learning algorithms, Xgboost and Neural Network are two top algorithms providing the best solutions to many…Jul 14, 20193Jul 14, 20193
Word Embedding of Brown Corpus Using PythonFor this project, the basic idea is words that tend to appear in similar context are likely to be related. You shall know a word by the…Jul 6, 2019Jul 6, 2019
