the-black-knight-01/Data-Science-Competitions 开源项目中文解读：技术栈、适用场景与上手建议

812

Apache License 2.0

项目介绍

the-black-knight-01/Data-Science-Competitions 是一个托管在 GitHub 上的开源项目，采用 Apache License 2.0 许可证，目前获得 812 个 Star、188 次 Fork。

仓库全名: the-black-knight-01/Data-Science-Competitions
开源许可证: Apache License 2.0
Star 数: 812
Fork 数: 188

README 摘要

Please send pull request if you want to add more competition solutions. For Comment and Suggestions: Discusssion Thread: 1. Kaggle Regression Elo Merchant Category Recommendation 5th Place Solution (Explanation) 7th Place Solution (Explanation) 10th Place Solution (Explanation) 11th Place Solution (Explanation) 19th Place Solution (Explanation) 21th Place Solution (Explanation)(code) Classification Santander…

完整内容见 GitHub 原始 README 或本页。

常见问题

Data-Science-Competitions 可以免费商用吗？

如何获取 Data-Science-Competitions 的源码？

可以直接克隆仓库：git clone https://github.com/the-black-knight-01/Data-Science-Competitions.git，默认分支为 master；安装与运行步骤见仓库 README。

Data-Science-Competitions 最近还在维护吗？

仓库最近一次更新为 2020年1月30日，当前没有未关闭的 Issue；Star 数为 812，可作为社区活跃度的参考。

关于

Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

描述取自 GitHub 官方 API，中文内容由 GitRead 中文社区编辑团队整理。

简要分析

热度分

1241

价值分

548

活跃状态

活跃

analytics-vidhya competition-code competitive-data-science-github data-science data-science-competition data-science-competitions datahack-competition kaggle kaggle-competition kaggle-competition-for-beginners kaggle-competition-solutions kaggle-solutions-github kaggle-winning-solutions-github machine-learning machinehack-competition xgboost

GitHub

Data-Science-Competitions

项目介绍

README 摘要

常见问题

相关仓库

关于

简要分析

README

1. Kaggle

Regression

Elo Merchant Category Recommendation

Classification

Santander Customer Transaction Prediction

PetFinder.my Adoption Prediction

Santander Product Recommendation

Text Classification

Jigsaw Unintended Bias in Toxicity Classification

Quora Insincere Questions Classification

Quora Question Pairs

Toxic Comment Classification Challenge

Document Classification & Data extraction

Tradeshift Text Classification

Time series analysis

Two Sigma: Using News to Predict Stock Movements

Web Traffic Time Series Forecasting

Rossmann Store Sales

QnA System:

TensorFlow 2.0 Question Answering

Recommendation System:

Santander Product Recommendation

Coreference Resolution

Gendered Pronoun Resolution

Signal Processing

LANL Earthquake Prediction

Image Classification

Cdiscount’s Image Classification Challenge

Right Whale Recognition

Video Challenge

The 3rd YouTube-8M Video Understanding Challenge

Semantic Segmentation & Instance Segmentation

APTOS 2019 Blindness Detection

iMaterialist (Fashion) 2019 at FGVC6:

TGS Salt Identification Challenge

Airbus Ship Detection Challenge

2018 Data Science Bowl (DSB2018)

GAN

Generative Dog Images

2. DataHack by Analytics Vidya

Innoplexus Online Hiring Hackathon: Sentiment Analysis

Genpact Machine Learning Hackathon

Game of Deep Learning: Computer Vision Hackathon

Capillary Machine Learning Hackathon

3. Machine Hack

Predicting The Costs Of Used Cars - Hackathon By Imarticus Learning

Predict A Doctor’s Consultation Fee Hackathon

Predict The Flight Ticket Price Hackathon

Predicting Restaurant Food Cost Hackathon

4. Driven Data

5. CrowdANALYTIX

Extraction of product attribute values

PKPD Modeling: Predict Exacerbation in patients with COPD

Identifying Superheroes from product images

6. Hacker Earth

Amazon ML Hiring Challenge

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