wynnding Goto Github PK

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

advertisingclickprediction

Predicting if internet users will click on the advertisement or not using a Logistic Regression Model

agent-based-stock-market-model

This repository contains the agent-based stock market model

amazon-forecast-samples

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

amazon-keyword-bid

amazon-sagemaker-stock-prediction-archived

Workshop to demonstrate how to apply NN based algorithms to stock market data and forecast price movements.

bayes-nets

My explorations regarding bayesian networks and structural causal models

bel2scm

Generate dynamic structural causal models from biological knowledge graphs encoded in the Biological Expression Language (BEL)

bidding_strategies

Real-Time Bidding Strategies for iPinYou Dataset

carrots-admin-ajax

基于AngularJS1.3.18 + BootStrap 3.3.7 + +jQuery3.2.1 的后台管理系统方案

causal_inference_python_code

Python code for part 2 of the book Causal Inference, by Miguel Hernán and James Robins

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

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

datascience99_projects

deepscm

Repository for Deep Structural Causal Models for Tractable Counterfactual Inference

dfr_lq

topic modeling library quarterly

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。

econometricswithr

📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)

everydaysport

从今天开始做一个健康的程序员。

ex-structured-products

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

finance

💰📈📉一些与金融相关的Stata命令

gbdt_lr

广告点击率(CTR)预测经典模型 GBDT + LR 理解与实践（附数据 + 代码）

gitcheat

Something funny with Git Contribute.