Pinned Repositories
Airbnb-Dynamic-Pricing-Optimization
[BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis, kNN regression for demand forecasting, and find dynamic optimal price with Optimization model.
best_AI_papers_2021
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code. [work in progress]
bsts
:exclamation: This is a read-only mirror of the CRAN R package repository. bsts — Bayesian Structural Time Series
CS224W-Colab
Solutions for CS224W Winter 2021 Colab
dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
ds-cheatsheets
List of Data Science Cheatsheets to rule the world
Dynamic-Pricing
ipymd
Use the IPython notebook as an interactive Markdown editor
ISYE-6501
NYC-Metro
Data collection and cleaning for NYC Metro data used in demand estimation
kpjwong's Repositories
kpjwong/ISYE-6501
kpjwong/best_AI_papers_2021
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code. [work in progress]
kpjwong/CS224W-Colab
Solutions for CS224W Winter 2021 Colab
kpjwong/NYC-Metro
Data collection and cleaning for NYC Metro data used in demand estimation
kpjwong/Airbnb-Dynamic-Pricing-Optimization
[BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis, kNN regression for demand forecasting, and find dynamic optimal price with Optimization model.
kpjwong/bsts
:exclamation: This is a read-only mirror of the CRAN R package repository. bsts — Bayesian Structural Time Series
kpjwong/dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
kpjwong/ds-cheatsheets
List of Data Science Cheatsheets to rule the world
kpjwong/Dynamic-Pricing
kpjwong/ipymd
Use the IPython notebook as an interactive Markdown editor
kpjwong/jgm
kpjwong/Julia-Driver-Learning
Q Learning implementation in Julia
kpjwong/Kerast
kpjwong/Libary-Catalogue-Search
Selenium Scraping of GU Library Catalogue
kpjwong/lihang_book_algorithm
致力于将李航博士《统计学习方法》一书中所有算法实现一遍
kpjwong/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
kpjwong/MachineLearning_Zhouzhihua_ProblemSets
Exercises answers to the book "machine-learning" written by Zhou Zhihua。周志华《机器学习》课后习题，个人解答。各算法都拿numpy和pandas实现了一遍
kpjwong/ML4T
kpjwong/one_for_all
kpjwong/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
kpjwong/Python-Algorithmic-Trading-Cookbook
Python Algorithmic Trading Cookbook, published by Packt
kpjwong/python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
kpjwong/simdkalman
Python Kalman filters vectorized as Single Instruction, Multiple Data
kpjwong/Taxi
Data cleaning, parsing and estimation codes for taxicab model