zhihany Goto Github PK

120-ds-interview-questions

My Answer to 120 Data Science Interview Questions

amzon-product-recommendation

Building Recommendation Model for the electronics products of Amazon

basketball_reference_scraper

A python module for scraping static and dynamic content from Basketball Reference.

bygb7990

BYGB7990 Course Materials

coding

Various Coding Practices

datasciencecoursera

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

deep-learning-from-scratch

深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》

deloitte-ncaa-march-madness-data-crunch-competition

example

jiepai

Jiepai Pictures of Toutiao

machine-learning-programming-assignments-coursera-andrew-ng

Solutions to Andrew NG's machine learning course on Coursera

nbaplayerroleanalysis

Project for BYGB7978

nbaplayervalue

Quantifying dynamic player value using machine learning concepts

nbarookiepreidicton

A simple linear model to predict seasonal MP (minutes played) of rookies.

nbastatsscraper

A self-use package mainly to scrape nba stats from various websites

notionnext

使用 NextJS + Notion API 实现的，支持多种部署方案的静态博客，无需服务器、零门槛搭建网站，为Notion和所有创作者设计。 (A static blog built with NextJS and Notion API, supporting multiple deployment options. No server required, zero threshold to set up a website. Designed for Notion and all creators.)

python-100-days

Python - 100天从新手到大师

statisticalmodeling

Statistical modeling and Bayesian modeling by PyMC3, Stan and TensorFlow Probability

streamlit-fantasy

A Streamlit dashboard focusing on Player stats reporting

streamlit_prophet

Streamlit app to train, evaluate and optimize a Prophet forecasting model.

webspiderstudy

zhihany.github.io