Pinned Repositories
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-click-prediction
In this Project,On the basis of the user characterstics like age,gender,income,internet usage & daily time spent on that website we are predicting that the person will click on advertisement on that website or not.
Advertisement-CTR-Prediction
A submission for HUAWEI - 2020 DIGIX GLOBAL AI CHALLENGE
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Python
My Python Examples
QPanda-tutorial
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
reject-inference-lendingclub
reject inference, machine learning
StatefulLSTMforecast
在企业场景中，对订单或者发货的预测，通常是一个超级难度的不可控事件；如果依靠利用经典概率算法的深度学习神经网络，那么特征向量猜想及数据收集工作在实际落地过程中将成为不可能；而通过采用仅仅依靠订单或者发货的时间序列数据，通过有状态的LSTM递归神经网络，通过调整时间窗口来训练数据，可以做到数据的回归预测。In the enterprise scenario, the forecast of orders or shipments is usually an uncontrollable event of super difficulty; if relying on deep learning neural networks using classical probability algorithms, the feature vector guessing and data collection work will become Impossible; and by using time-series data that relies solely on orders or shipments, through adopt stateful LSTM recurrent neural network, by adjusting the time window to train the data, regression prediction of the data can be achieved.
WynnDing's Repositories
WynnDing/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
WynnDing/2022-C-
python实现2022美赛C题（时间序列预测，Apriori关联规则算法...）
WynnDing/academic-kickstart
WynnDing/Advertisement-CTR-Prediction
A submission for HUAWEI - 2020 DIGIX GLOBAL AI CHALLENGE
WynnDing/QPanda-tutorial
WynnDing/amazon-forecast-samples
Notebooks and examples on how to onboard and use various features of Amazon Forecast.
WynnDing/causallift
CausalLift: Python package for causality-based Uplift Modeling in real-world business
WynnDing/causalml
Uplift modeling and causal inference with machine learning algorithms
WynnDing/census
China county-level population data (census)
WynnDing/crunchbase-jupyter-notebook
Data analysis project on investments on Crunchbase. Working with memory constraints, using Python and SQL.
WynnDing/crypto-art
Data repository for paper: Quantifying NFT-driven networks in crypto art
WynnDing/deepscm
Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
WynnDing/dfr_lq
topic modeling library quarterly
WynnDing/ex-structured-products
Reference DAML application demonstrating the trading of Structured Equity Derivative Products.
WynnDing/GKmodel
WynnDing/Google-Ads-Bid-Sync
Sync and/or adjust keyword level bids between multiple Google Ads accounts via API
WynnDing/interpretable-ai-book
Code associated with my Interpretable AI Book (https://www.manning.com/books/interpretable-ai)
WynnDing/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
WynnDing/kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
WynnDing/Machine_Learning_Code_Implementation
Mathematical derivation and pure Python code implementation of machine learning algorithms.
WynnDing/NFT_sales_forecasting
This repository contains all the information, code and data about the NFT sales forecasting using computer vision and time series.
WynnDing/notes
WynnDing/Quantum-programming-textbook
WynnDing/sexting-dataset
Erotic conversations scraped from public resources on the internet
WynnDing/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.
WynnDing/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.
WynnDing/StructuralCausalModels
A Python package implementing Structural Causal Models (SCMs).
WynnDing/tsda
Time Series for Data Science - R Code used in Time Series: A Data Analysis Approach Using R
WynnDing/Wayfair-ABtest
WynnDing/y0
❓y0 (pronounced "why not?") is for causal inference in Python