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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.

airbnb-pricing-prediction

Linear regression: offer algorithm suggested listing price for new hosts dynamically based on their inputs

causalml

Uplift modeling and causal inference with machine learning algorithms

chinacitystat

**地级市人口与GDP统计

demand_forecast

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

dqn-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

jd-mta

Multi Touch Attribution: Simulation Code

leetcode

Play Leetcode with different Programming language

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

ml_practice

ML Records in 1110 Lab of BUPT. Some detailed information can be referenced on: https://mathpretty.com/10388.html

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

time-series-stock-forecast

This python program performs forecast for stock based on time series models. This allows interpolation of upto 50 future points based on different popular time series method like Arima, Arimax and DAR model. This project also includes a sample data file in CSV format for testing purpose.

time_series_data_mining

TensorFlow Probability；Time series model