WynnDing

Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

2022-C-

python实现2022美赛C题（时间序列预测，Apriori关联规则算法...）

academic-kickstart

Advertisement-CTR-Prediction

A submission for HUAWEI - 2020 DIGIX GLOBAL AI CHALLENGE

QPanda-tutorial

amazon-forecast-samples

Notebooks and examples on how to onboard and use various features of Amazon Forecast.

causallift

CausalLift: Python package for causality-based Uplift Modeling in real-world business

causalml

Uplift modeling and causal inference with machine learning algorithms

census

China county-level population data (census)

crunchbase-jupyter-notebook

Data analysis project on investments on Crunchbase. Working with memory constraints, using Python and SQL.

crypto-art

Data repository for paper: Quantifying NFT-driven networks in crypto art

deepscm

Repository for Deep Structural Causal Models for Tractable Counterfactual Inference

dfr_lq

topic modeling library quarterly

ex-structured-products

Reference DAML application demonstrating the trading of Structured Equity Derivative Products.

GKmodel

Google-Ads-Bid-Sync

Sync and/or adjust keyword level bids between multiple Google Ads accounts via API

interpretable-ai-book

Code associated with my Interpretable AI Book (https://www.manning.com/books/interpretable-ai)

InterpretableMLBook

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

Machine_Learning_Code_Implementation

Mathematical derivation and pure Python code implementation of machine learning algorithms.

NFT_sales_forecasting

This repository contains all the information, code and data about the NFT sales forecasting using computer vision and time series.

notes

Quantum-programming-textbook

sexting-dataset

Erotic conversations scraped from public resources on the internet

Start-up-Acquisition-Prediction

Start-up Acquisition Prediction, from the data which was collected from CrunchBase. The data set was of the start-up companies from 2013. The task was to predict whether the company was Acquired or Working based on the model Prediction. There was a total of 5 models built.

starter-hugo-academic

🎓 Hugo Academic Theme 创建一个学术网站. Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify.

StructuralCausalModels

A Python package implementing Structural Causal Models (SCMs).

tsda

Time Series for Data Science - R Code used in Time Series: A Data Analysis Approach Using R

Wayfair-ABtest

y0

❓y0 (pronounced "why not?") is for causal inference in Python