內(nèi)容來自 apachecn/awesome-data-comp-solution（https://github.com/apachecn/awesome-data-comp-solution/blob/master/README.md），由 ApacheCN 團(tuán)隊(duì)維護(hù)。

歡迎任何人參與和完善：一個(gè)人可以走的很快，但是一群人卻可以走的更遠(yuǎn)

• ApacheCN 學(xué)習(xí)資源（http://www.apachecn.org/）

• ApacheCN 機(jī)器學(xué)習(xí)交流群 629470233（http://shang.qq.com/wpa/qunwpa?idkey=30e5f1123a79867570f665aa3a483ca404b1c3f77737bc01ec520ed5f078ddef）

結(jié)構(gòu)化數(shù)據(jù)/時(shí)間序列

1. 2019 CCF 乘用車細(xì)分市場(chǎng)銷量預(yù)測(cè)

2. EDA: http://lambda-xmu.club/2018/08/27/2019CCF-Car-Sales-EDA/

3. Baseline 0.488: https://zhuanlan.zhihu.com/p/79940352

4. Baseline 0.511: https://blog.csdn.net/weixin_43593330/article/details/100175414

5. 2019 CCF 離散制造過程中典型工件的質(zhì)量符合率預(yù)測(cè)

6. EDA: http://lambda-xmu.club/2018/08/25/2019CCF-Work-Piece-EDA/

7. Baseline 0.6777: https://github.com/destiny19960207/CCF_BDCI2019_discrete-manufacturing

8. Baseline 0.644: CCF2019-discrete-manufacturing/644baseline.py（https://github.com/apachecn/awesome-data-comp-solution/blob/master/src/CCF2019-discrete-manufacturing/644baseline.py）

9. 2018 科大訊飛 AI 營(yíng)銷算法大賽

10. Rank1: https://zhuanlan.zhihu.com/p/47807544

11. Rank2: https://github.com/infturing/kdxf

12. Rank21: https://github.com/Michaelhuazhang/-AI21-

13. 2018 IJCAI 阿里媽媽搜索廣告轉(zhuǎn)化預(yù)測(cè)

14. Rank1: https://github.com/plantsgo/ijcai-2018

15. Rank2:

• https://github.com/YouChouNoBB/ijcai-18-top2-single-mole-solution

• https://blog.csdn.net/Bryan__/article/details/80600189

1. Rank3: https://github.com/luoda888/2018-IJCAI-top3

2. Rank8: https://github.com/fanfanda/ijcai_2018

3. Rank8: https://github.com/Gene20/IJCAI-18

4. Rank9（第一賽季）https://github.com/yuxiaowww/IJCAI-18-TIANCHI

5. Rank29: https://github.com/bettenW/IJCAI18_Tianchi_Rank29

6. Rank41: https://github.com/cmlaughing/IJCAI-18

7. Rank48: https://github.com/YunaQiu/IJCAI-18alimama

8. Rank53: https://github.com/altmanWang/IJCAI-18-CVR

9. Rank60: https://github.com/Chenyaorui/ijcai_2018

10. Rank81: https://github.com/wzp123456/IJCAI_18

11. Rank94: https://github.com/Yangtze121/-IJCAI-18-

12. 2018 騰訊廣告算法大賽

13. Rank3: https://github.com/DiligentPanda/Tencent_Ads_Algo_2018

14. rank6: https://github.com/nzc/tencent-contest

15. Rank7: https://github.com/guoday/Tencent2018_Lookalike_Rank7th

16. Rank9: https://github.com/ouwenjie03/tencent-ad-game

17. Rank10: https://github.com/keyunluo/Tencent2018_Lookalike_Rank10th

18. rank10（初賽）: https://github.com/ShawnyXiao/2018-Tencent-Lookalike

19. Rank11:

• https://github.com/liupengsay/2018-Tencent-social-advertising-algorithm-contest

• https://my.oschina.net/xtzggbmkk/blog/1865680

1. Rank26: https://github.com/zsyandjyhouse/TencentAD_contest

2. Rank33: https://github.com/John-Yao/Tencent_Social_Ads2018

3. Rank69: https://github.com/BladeCoda/Tencent2018_Final_Phrase_Presto

4. 2017 騰訊廣告算法大賽

5. Rank14: https://github.com/freelzy/Tencent_Social_Ads

6. Rank20: https://github.com/shenweichen/Tencent_Social_Ads2017_Mobile_App_pCVR

7. 2018 高校大數(shù)據(jù)挑戰(zhàn)賽-快手活躍用戶預(yù)測(cè)

8. Rank1:

• https://github.com/drop-out/RNN-Active-User-Forecast

• https://zhuanlan.zhihu.com/p/42622063

1. Rank4: https://github.com/chantcalf/2018-Rank4-

2. Rank13 (初賽 a 榜 rank2 b 榜 rank5):

• https://github.com/luoda888/2018-KUAISHOU-TSINGHUA-Top13-Solutions

• https://github.com/totoruo/KuaiShou2018-RANK13-RNN

1. Rank15: https://github.com/sunwantong/Kuaishou-Active-User

2. Rank20: https://github.com/bigzhao/Kuaishou_2018_rank20th

3. Rank28 (初賽 a 榜 rank1 b 榜 rank2):

• https://github.com/YangKing0834131/2018-KUAISHOU-TSINGHUA-Top28-Solutions-

• https://github.com/FNo0/2018-KUAISHOU-Top28

1. Rank35: https://github.com/chizhu/kuaishou2018

2. 2018JDATA 用戶購買時(shí)間預(yù)測(cè)

3. Rank9: https://zhuanlan.zhihu.com/p/45141799

4. 2018 DF 風(fēng)機(jī)葉片開裂預(yù)警

5. Rank2: https://github.com/SY575/DF-Early-warning-of-the-wind-power-system

6. 2018 DF 光伏發(fā)電量預(yù)測(cè)

7. Rank1:

• https://zhuanlan.zhihu.com/p/44755488?utm_source=qq&utm_medium=social&utm_oi=623925402599559168

• https://mp.weixin.qq.com/s/Yix0xVp2SiqaAcuS6Q049g

1. AI 全球挑戰(zhàn)者大賽-違約用戶風(fēng)險(xiǎn)預(yù)測(cè)

2. Rank1: https://github.com/chenkkkk/User-loan-risk-prediction

3. 2016 融 360-用戶貸款風(fēng)險(xiǎn)預(yù)測(cè)

4. Rank7: https://github.com/hczheng/Rong360

5. 2018 CCF-面向電信行業(yè)存量用戶的智能套餐個(gè)性化匹配模型

6. Rank1: https://github.com/PPshrimpGo/BDCI2018-ChinauUicom-1st-solution

7. Rank2: https://github.com/PandasCute/2018-CCF-BDCI-China-Unicom-Research-Institute-top2

8. Rank4: https://github.com/jinchenyu/2018_CCF_BDCI_ChinaUicom_rank4_solution

9. Rank6: https://github.com/ZengHaihong/2018_CCF_BDCI_ChinaUnicom_Package_Match_Rank6

10. 2018 CCF-汽車行業(yè)用戶觀點(diǎn)主題及情感識(shí)別 ASC 挑戰(zhàn)賽

11. Rank1: https://github.com/yilirin/BDCI_Car_2018

12. Rank7: https://github.com/nlpjoe/CCF-BDCI-Automotive-Field-ASC-2018

13. 2017 CCF-商場(chǎng)中精確定位用戶所在店鋪

14. Rank1: https://github.com/drop-out/Tianchi-Wifi-Positioning

15. 2016 CCF-020 優(yōu)惠券使用預(yù)測(cè)

16. Rank1: https://github.com/wepe/O2O-Coupon-Usage-Forecast

17. 2016 ccf-農(nóng)產(chǎn)品價(jià)格預(yù)測(cè)

18. Rank2: https://github.com/xing89qs/CCF_Product

19. Rank35: https://github.com/wqlin/ccf-price-prediction

20. 2016 ccf-客戶用電異常

21. Rank4: https://github.com/AbnerYang/2016CCF-StateGrid

22. 2016 ccf-搜狗的用戶畫像比賽

23. Rank1: https://github.com/hengchao0248/ccf2016_sougou

24. Rank3: https://github.com/AbnerYang/2016CCF-SouGou

25. Rank5:

• https://github.com/dhdsjy/2016_CCFsougou

• https://github.com/dhdsjy/2016_CCFsougou2

• https://github.com/prozhuchen/2016CCF-sougou

• https://github.com/coderSkyChen/2016CCF_BDCI_Sougou

1. 2016 ccf-聯(lián)通的用戶軌跡

2. RankX: https://github.com/xuguanggen/2016CCF-unicom

3. 2016 ccf-Human or Robots

4. Rank6: https://github.com/pickou/ccf_human_or_robot

5. 菜鳥-需求預(yù)測(cè)與分倉規(guī)劃

6. Rank6: https://github.com/wepe/CaiNiao-DemandForecast-StoragePlaning

7. Rank10: https://github.com/xing89qs/TianChi_CaiNiao_Season2

8. Kaggle 2018 Data Science Bow

9. Rank1: https://www.kaggle.com/c/data-science-bowl-2018/discussion/54741

10. Rank4:

• https://www.kaggle.com/c/data-science-bowl-2018/discussion/55118

• https://github.com/pdima/kaggle_2018_data_science_bowl_solution

1. 2018 對(duì)抗挑戰(zhàn)優(yōu)勝經(jīng)驗(yàn)分享

• t.cn/RBMaq4y

• t.cn/RBMlfBH

1. Galaxy Zoo challenge

2. http://benanne.github.io/2014/04/05/galaxy-zoo.html

3. Kaggle Home Credit 違約風(fēng)險(xiǎn)預(yù)測(cè)

4. Rank1: t.cn/RFsoHgv

5. Kaggle 2017 Santa competition

6. Rank54: https://github.com/bigzhao/MPI-Hungarian-method

7. Kaggle 2017 Porto Seguro’s Safe Driver Prediction

8. Rank131: https://bigzhao.github.io/2017/12/18/kaggle-silver/

9. 第三屆阿里云安全算法挑戰(zhàn)賽

10. Rank1: https://github.com/poteman/Alibaba-3rd-Security-Algorithm-Challenge

11. 2018dc-新網(wǎng)銀行杯

12. Rank3: https://github.com/Smilexuhc/Xingwangbankcup-top3

13. Rank4: https://github.com/TingNie/CreditForecast

14. 2018 AI Challenger 全球 AI 挑戰(zhàn)賽 - 細(xì)粒度用戶評(píng)論情感分析

15. Rank1: https://github.com/chenghuige/wenzheng

16. Rank16: https://github.com/xueyouluo/fsauor2018

17. Rank17: https://github.com/BigHeartC/Al_challenger_2018_sentiment_analysis

18. 第二屆 “智慧中國(guó)杯” 數(shù)據(jù)科學(xué)大賽，首發(fā)皇包車（HI GUIDES）精品旅行服務(wù)成單預(yù)測(cè)競(jìng)賽

19. Rank4: https://github.com/SunnyMarkLiu/Datacastle_Travel_Services_Predict

20. Rank?: https://github.com/zlxy9892/DC_hbc

21. 2018 ATEC 螞蟻金服 NLP 智能客服比賽

22. Rank16: https://github.com/zle1992/atec

23. 2018 ATEC 螞蟻金服 NLP 螞蟻金服金融大腦賽題

24. Rank18: https://github.com/ziweipolaris/atec2018-nlp

25. DataCastle-城市治理大數(shù)據(jù)應(yīng)用創(chuàng)意方案賽

26. Rank1: https://github.com/poteman/DataCastle-Urban-governance-competition

27. Kaggle - Crowdflower Search Results Relevance

28. Rank1: https://github.com/ChenglongChen/Kaggle_CrowdFlower

29. 第三屆融 360 天機(jī)智能金融算法挑戰(zhàn)賽 - 特征挖掘

30. Rank1: https://github.com/xSupervisedLearning/Rong360_feature_mining_1st_solution

31. 2017 摩拜杯算法挑戰(zhàn)賽

32. Rank3: https://github.com/Magic-Bubble/Mobike

33. DataFountain - 招商銀行信用卡中心 消費(fèi)金融場(chǎng)景下的用戶購買預(yù)測(cè)

34. Rank1: https://github.com/sunwantong/China-Merchants-Bank-credit-card-Cente-User-purchase-forecast

35. 天池糖尿病血糖預(yù)測(cè)比賽 精準(zhǔn)醫(yī)療

36. Rank24: https://github.com/xingyuezhiji/Diabetes

37. 第一屆西安交通大學(xué)人工智能實(shí)踐大賽（2018AI 實(shí)踐大賽–圖片文字識(shí)別）

38. Rank1: https://github.com/yinchangchang/ocr_densenet

39. 2019 KaggleDays Paris offline competition（Kaggle 產(chǎn)品銷售額預(yù)測(cè)比賽優(yōu)勝方案）

40. Rank1: https://github.com/mxbi/kaggledays-paris

41. 2019 Kaggle Freesound Audio Tagging

42. Rank1: https://github.com/qrfaction/1st-Freesound-Audio-Tagging-2019

43. Kaggle iMaterialist (Fashion) 2019 at FGVC6

44. Rank1: https://github.com/amirassov/kaggle-imaterialist

NLP

1. 2019 CCF 互聯(lián)網(wǎng)新聞情感分析

2. Baseline 0.801: https://github.com/finlay-liu/kaggle_public

3. Baseline 0.803: https://github.com/guoday/CCF-BDCI-Sentiment-Analysis-Baseline

4. 2019 CCF 互聯(lián)網(wǎng)金融新實(shí)體發(fā)現(xiàn)

5. Baseline 0.2049: https://github.com/finlay-liu/kaggle_public/

6. 2018 DC 達(dá)觀-文本智能處理挑戰(zhàn)

7. Rank1: https://github.com/ShawnyXiao/2018-DC-DataGrand-TextIntelProcess

8. Rank2: https://github.com/CortexFoundation/-

9. Rank4: https://github.com/hecongqing/2018-daguan-competition

10. Rank8: https://github.com/Rowchen/Text-classifier

11. Rank10: https://github.com/moneyDboat/data_grand

12. Rank11: https://github.com/TianyuZhuuu/DaGuan_TextClassification_Rank11

13. Rank18: https://github.com/nlpjoe/daguan-classify-2018

14. RankX: https://github.com/yanqiangmiffy/daguan

15. 智能客服問題相似度算法設(shè)計(jì)——第三屆魔鏡杯大賽

16. rank6 https://github.com/qrfaction/paipaidai

17. rank12

• https://www.jianshu.com/p/827dd447daf9

• https://github.com/LittletreeZou/Question-Pairs-Matching

1. Rank16: https://github.com/guoday/PaiPaiDai2018_rank16

2. Rank29: https://github.com/wangjiaxin24/daguan_NLP

3. 2018JD Dialog Challenge 任務(wù)導(dǎo)向型對(duì)話系統(tǒng)挑戰(zhàn)賽

4. Rank2: https://github.com/Dikea/Dialog-System-with-Task-Retrieval-and-Seq2seq

5. Rank3: https://github.com/zengbin93/jddc_solution_4th

6. 2018CIKM AnalytiCup – 阿里小蜜機(jī)器人跨語言短文本匹配算法競(jìng)賽

7. Rank2: https://github.com/zake7749/Closer

8. Rank12: https://github.com/Leputa/CIKM-AnalytiCup-2018

9. Rank18: https://github.com/VincentChen525/Tianchi/tree/master/CIKM AnalytiCup 2018

10. 路透社新聞數(shù)據(jù)集“深度”探索性分析(詞向量/情感分析)

11. https://www.kaggle.com/hoonkeng/deep-eda-word-embeddings-sentiment-analysis/notebook

12. “神策杯”2018 高校算法大師賽(關(guān)鍵詞提取)

13. Rank1: http://www.dcjingsai.com/common/bbs/topicDetails.html?tid=2382

14. Rank2: https://github.com/bigzhao/Keyword_Extraction

15. Rank5: https://github.com/Dikea/ShenceCup.extract_keywords

16. 知乎看山杯

17. Rank1: https://github.com/chenyuntc/PyTorchText

18. Rank2: https://github.com/Magic-Bubble/Zhihu

19. Rank6: https://github.com/yongyehuang/zhihu-text-classification

20. Rank9: https://github.com/coderSkyChen/zhihu_kanshan_cup_2017

21. Rank21: https://github.com/zhaoyu87/zhihu

22. 2018 CCL 客服領(lǐng)域用戶意圖分類評(píng)測(cè)

23. Rank1: https://github.com/nlpjoe/2018-CCL-UIIMCS

24. 第二屆搜狐內(nèi)容識(shí)別大賽

25. Rank1: https://github.com/zhanzecheng/SOHU_competition

26. 科賽 - 百度 PaddlePaddle AI 大賽——智能問答

27. Rank3: https://github.com/312shan/rc_tf

28. 2018 kaggle quora insincere questions classification

29. Rank1: https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80568

30. Rank13: https://mp.weixin.qq.com/s/DD-BOtPbGCXvxfFxL-qOgg

31. Rank153: https://github.com/jetou/kaggle-qiqc

CV

1. 2019 CCF 視頻版權(quán)檢測(cè)

2. Baseline 0.0001: https://github.com/finlay-liu/kaggle_public

3. Kaggle-TGS

4. Rank1: t.cn/EzkDlOC

5. Rank4:

• t.cn/EzuvemA

• t.cn/EzuPvfp

1. Rank9: t.cn/EznzvYv

2. Rank11: https://github.com/iasawseen/Kaggle-TGS-salt-solution

3. Rank14: https://github.com/lRomul/argus-tgs-salt

4. Rank15: https://github.com/adam9500370/Kaggle-TGS

5. Rank22: t.cn/EzYkR6i

6. Rank56: https://github.com/Gary-Deeplearning/TGS-Salt

7. Kaggle Google 地標(biāo)檢索

8. Rank1: t.cn/R1i7Xiy

9. Rank14: t.cn/R1nQriY

10. Lyft 感知挑戰(zhàn)賽

11. 賽題: t.cn/RBtrJcE

12. Rank4:

• t.cn/RBtrMdw

• t.cn/RBJnlug

1. Kaggle CVPR 2018 WAD 視頻分割

2. Rank2: t.cn/Ehp4Ggm

3. Kaggle Google AI Open Images

4. Rank15: t.cn/RF1jnis

5. Quick, Draw! Kaggle Competition Starter Pack

6. t.cn/EZAoZDM

7. Kaggle 植物幼苗圖像分類挑戰(zhàn)賽

8. Rank1: t.cn/RBssjf6

9. Kaggle Airbus Ship Detection Challenge (Kaggle 衛(wèi)星圖像船舶檢測(cè)比賽)

10. Rank8: https://github.com/SeuTao/Kaggle_Airbus2018_8th_code

11. Rank21: https://github.com/pascal1129/kaggle_airbus_ship_detection

12. kaggle RSNA Pneumonia Detection

13. Rank1: https://github.com/i-pan/kaggle-rsna18

14. Rank2: https://github.com/SeuTao/Kaggle_TGS2018_4th_solution

15. Rank3: https://github.com/pmcheng/rsna-pneumonia

16. Rank6: https://github.com/pfnet-research/pfneumonia

17. Rank10: https://github.com/alessonscap/rsna-challenge-2018

18. Kaggle PLAsTiCC Astronomical Classification Competition（PLAsTiCC 天文分類比賽）

19. Rank1: https://www.kaggle.com/c/PLAsTiCC-2018/discussion/75033

20. Rank2: https://www.kaggle.com/c/PLAsTiCC-2018/discussion/75059

21. Rank3:

• https://www.kaggle.com/c/PLAsTiCC-2018/discussion/75116

• https://www.kaggle.com/c/PLAsTiCC-2018/discussion/75131

• https://www.kaggle.com/c/PLAsTiCC-2018/discussion/75222

1. Rank4: https://github.com/aerdem4/kaggle-plasticc

2. Rank5: https://www.kaggle.com/c/PLAsTiCC-2018/discussion/75040

3. Kaggle Human Protein Atlas Image Classification Challenge（Kaggle 人類蛋白質(zhì)圖譜圖像分類比賽）

4. Rank3: https://github.com/pudae/kaggle-hpa

5. SpaceNet Challenge Round 4: Off-Nadir Buildings（SpaceNet 挑戰(zhàn)衛(wèi)星圖片建筑物識(shí)別）

6. RankX: https://github.com/SpaceNetChallenge/SpaceNet_Off_Nadir_Solutions

7. Kaggle Humpback Whale Identification Challenge（Kaggle 座頭鯨識(shí)別比賽）

8. Rank1: https://github.com/earhian/Humpback-Whale-Identification-1st-

9. Rank7: https://medium.com/@ducha.aiki/thanks-radek-7th-place-solution-to-hwi-2019-competition-738624e4c885

10. kaggle Carvana Image Masking Challenge

11. Rank1:https://github.com/asanakoy/kaggle_carvana_segmentation

12. Rank3:https://github.com/lyakaap/Kaggle-Carvana-3rd-place-solution

13. kaggle Statoil/C-CORE Iceberg Classifier Challenge

14. Rank4: https://github.com/asydorchuk/kaggle/blob/master/statoil/README.md

15. kaggle 2018 Data Science Bowl

16. Rank1: https://github.com/selimsef/dsb2018_topcoders

17. Rank2: https://github.com/jacobkie/2018DSB

18. Rank3: https://github.com/Lopezurrutia/DSB_2018

19. Rank4: https://github.com/pdima/kaggle_2018_data_science_bowl_solution

20. Rank5: https://github.com/mirzaevinom/data_science_bowl_2018

其它資源列表

1. DataSciComp 數(shù)據(jù)比賽資訊（https://github.com/iphysresearch/DataSciComp）

2. ApacheCN 的 kaggle 資料鏈接（https://github.com/apachecn/kaggle）

3. Kaggle top 方案整理（https://github.com/EliotAndres/kaggle-past-solutions）

4. Data competition Top Solution 數(shù)據(jù)競(jìng)賽 Top 解決方案開源整理（https://github.com/Smilexuhc/Data-Competition-TopSolution）

5. 介紹 featexp 一個(gè)幫助理解特征的工具包（http://www.sohu.com/a/273552971_129720）

6. Ask Me Anything session with a Kaggle Grandmaster Vladimir I. Iglovikov（t.cn/Eww4nnu） PDF（https://pan.baidu.com/s/1XkFwko_YrI5TfjjIai7ONQ）

7. Owen Zhang 訪談: Kaggle 制勝的秘密（t.cn/RBzPcyg）

8. How to Compete for Zillow Prize at Kaggle（https://www.datasciencecentral.com/profiles/blogs/how-to-compete-for-zillow-prize-at-kaggle）

9. Profiling Top Kagglers: Martin Henze（http://blog.kaggle.com/2018/06/19/tales-from-my-first-year-inside-the-head-of-a-recent-kaggle-addict/）

10. Kaggle 數(shù)據(jù)科學(xué)詞匯表（t.cn/Rdx72Cn）

11. Kaggle 比賽優(yōu)勝方案匯總（t.cn/Rdkj3Co）

12. Kaggle 比賽實(shí)戰(zhàn)教程(Pandas, Matplotlib, XGBoost/Colab)（t.cn/ReIJOX0）

13. llSourcell/kaggle_challenge（t.cn/ReIJOXK）

14. Kaggle 看照片猜相機(jī)比賽心得分享（t.cn/Rkz5Q9y） PDF（t.cn/Rkz5Q9L）

15. Kaggle 在線分類廣告需求預(yù)測(cè)比賽優(yōu)勝方案分享（t.cn/RFpQg9O）

16. Kaggle | Winner Interview （http://blog.kaggle.com/2018/09/14/pei-lien-chou/）

17. 2018 NIPS 視覺對(duì)抗挑戰(zhàn)總結(jié)（t.cn/EAMqw0P）

大佬的 Git

1. 植物: https://github.com/plantsgo

2. wepon: https://github.com/wepe

3. Snake: https://github.com/luoda888

4. Drop-out: https://github.com/drop-out

5. 金老師的知乎: https://zhuanlan.zhihu.com/jlbookworm

6. 渣大: https://github.com/nzc

7. 郭大: https://github.com/guoday

8. Cortex Lab: https://github.com/CortexFoundation

貢獻(xiàn)者

• Smile（https://github.com/Smilexuhc）

• 飛龍（https://github.com/wizardforcel）

• SlideLucask（https://github.com/SlideLucask）

• 知識(shí)星球: Kaggle 數(shù)據(jù)競(jìng)賽免費(fèi)版（https://t.zsxq.com/IAQvF2F）