2021年Kaggle所有赛事TOP方案汇总

本文摘自 coggle数据科学Kaggle2021TOP方案汇总Kaggle 2021年 45场比赛&优胜方案汇总

03f9ac496f6208983e1698f0722a549a.png

kaggle.com/c/tabular-pl

  • 比赛介绍:Practice your ML regression skills on this approachable dataset!
  • 比赛类型:Playground
  • 人数/队伍数/提交数:1728/1728/16104
  • 组队时间:20210102 - 20210131

优胜选手分享:

第1名:https://www.kaggle.com/c/tabular-playground-series-jan-2021/discussion/216037
第2名:https://www.kaggle.com/c/tabular-playground-series-jan-2021/discussion/216070
第3名:https://www.kaggle.com/c/tabular-playground-series-jan-2021/discussion/216087
第4名:https://www.kaggle.com/c/tabular-playground-series-jan-2021/discussion/216071
第11名:https://www.kaggle.com/c/tabular-playground-series-jan-2021/discussion/216115

c283cf97456aa4d603fe50d30624947d.png

kaggle.com/c/tabular-pl

  • 比赛介绍:Practice your ML skills on this approachable dataset!
  • 比赛类型:Playground
  • 人数/队伍数/提交数:1474/1433/12553
  • 组队时间:20210201 - 20210228

优胜选手分享:

第1名:https://www.kaggle.com/c/tabular-playground-series-feb-2021/discussion/222745
第2名:https://www.kaggle.com/c/tabular-playground-series-feb-2021/discussion/222762
第3名:https://www.kaggle.com/c/tabular-playground-series-feb-2021/discussion/223455
第4名:https://www.kaggle.com/c/tabular-playground-series-feb-2021/discussion/222791
第6名:https://www.kaggle.com/c/tabular-playground-series-feb-2021/discussion/222751
第11名:https://www.kaggle.com/c/tabular-playground-series-feb-2021/discussion/222798

0c2bb77c632cafe9c6177dec1af45e5d.png

kaggle.com/c/tabular-pl

  • 比赛介绍:Practice your ML skills on this approachable dataset!
  • 比赛类型:Playground
  • 人数/队伍数/提交数:1568/1495/12945
  • 组队时间:20210301 - 20210331

优胜选手分享:

第1名:https://www.kaggle.com/c/tabular-playground-series-mar-2021/discussion/229833
第2名:https://www.kaggle.com/c/tabular-playground-series-mar-2021/discussion/229868
第3名:https://www.kaggle.com/c/tabular-playground-series-mar-2021/discussion/230101

March Machine Learning Mania 2021 - NCAAW

ca7c915257373fbf292eaac302b65654.png

kaggle.com/c/ncaaw-marc

  • 比赛介绍:Predict the 2021 NCAAW Basketball Tournament
  • 比赛类型:Playground
  • 人数/队伍数/提交数:508/451/836
  • 组队时间:20210225 - 20210405

优胜选手分享:

第1名:https://www.kaggle.com/c/ncaaw-march-mania-2021/discussion/231528
第2名:https://www.kaggle.com/c/ncaaw-march-mania-2021/discussion/230705
第3名:https://www.kaggle.com/c/ncaaw-march-mania-2021/discussion/232903
第4名:https://www.kaggle.com/c/ncaaw-march-mania-2021/discussion/230859

March Machine Learning Mania 2021 - NCAAW - Spread

79afcb44e1d4de12b28ef51fd5f8f4fa.png

kaggle.com/c/ncaaw-marc

  • 比赛介绍:Predict the margin of victory in the 2021 women's tournament
  • 比赛类型:Playground
  • 人数/队伍数/提交数:77/70/116
  • 组队时间:20210225 - 20210405

优胜选手分享:

第1名:https://www.kaggle.com/c/ncaaw-march-mania-2021-spread/discussion/230746

March Machine Learning Mania 2021 - NCAAM

fe7379fdc0ab8cd5598bde8f6c819b1d.png

kaggle.com/c/ncaam-marc

  • 比赛介绍:Predict the 2021 NCAAM Basketball Tournament
  • 比赛类型:Playground
  • 人数/队伍数/提交数:791/707/1242
  • 组队时间:20210225 - 20210406

优胜选手分享:

第3名:https://www.kaggle.com/c/ncaam-march-mania-2021/discussion/231063
第15名:https://www.kaggle.com/c/ncaam-march-mania-2021/discussion/231032

March Machine Learning Mania 2021 - NCAAM - Spread

1533960d688bffab06585c5663373981.png

kaggle.com/c/ncaam-marc

  • 比赛介绍:Predict the margin of victory in the 2021 men's tournament
  • 比赛类型:Playground
  • 人数/队伍数/提交数:111/96/163
  • 组队时间:20210225 - 20210406

Tabular Playground Series - Apr 2021

fe1830641175ca37db8cef47da499157.png

kaggle.com/c/tabular-pl

  • 比赛介绍:Synthanic - You're going to need a bigger boat
  • 比赛类型:Playground
  • 人数/队伍数/提交数:1306/1244/15345
  • 组队时间:20210401 - 20210430

优胜选手分享:

第1名:https://www.kaggle.com/c/tabular-playground-series-apr-2021/discussion/235739
第50名:https://www.kaggle.com/c/tabular-playground-series-apr-2021/discussion/235731

Shopee - Price Match Guarantee

bee1966b14bee8c05dd1a63eb2fc217c.png

kaggle.com/c/shopee-pro

  • 比赛介绍:Determine if two products are the same by their images
  • 比赛类型:Featured
  • 人数/队伍数/提交数:3032/2426/51077
  • 组队时间:20210309 - 20210510

优胜选手分享:

第1名:https://www.kaggle.com/c/shopee-product-matching/discussion/238136
第2名:https://www.kaggle.com/c/shopee-product-matching/discussion/238022
第3名:https://www.kaggle.com/c/shopee-product-matching/discussion/238515
第4名:https://www.kaggle.com/c/shopee-product-matching/discussion/238295
第5名:https://www.kaggle.com/c/shopee-product-matching/discussion/238078
第6名:https://www.kaggle.com/c/shopee-product-matching/discussion/238010
第7名:https://www.kaggle.com/c/shopee-product-matching/discussion/238174
第8名:https://www.kaggle.com/c/shopee-product-matching/discussion/238125
第10名:https://www.kaggle.com/c/shopee-product-matching/discussion/238039
第11名:https://www.kaggle.com/c/shopee-product-matching/discussion/238181
第14名:https://www.kaggle.com/c/shopee-product-matching/discussion/238033
第15名:https://www.kaggle.com/c/shopee-product-matching/discussion/238029
第18名:https://www.kaggle.com/c/shopee-product-matching/discussion/237972
第19名:https://www.kaggle.com/c/shopee-product-matching/discussion/238146
第26名:https://www.kaggle.com/c/shopee-product-matching/discussion/238126
第37名:https://www.kaggle.com/c/shopee-product-matching/discussion/238110
第41名:https://www.kaggle.com/c/shopee-product-matching/discussion/238382
第58名:https://www.kaggle.com/c/shopee-product-matching/discussion/238708

Human Protein Atlas - Single Cell Classification

2887bcfa503853314ef580f486d1a10e.png

kaggle.com/c/hpa-single

  • 比赛介绍:Find individual human cell differences in microscope images
  • 比赛类型:Featured
  • 人数/队伍数/提交数:991/757/19058
  • 组队时间:20210126 - 20210511

优胜选手分享:

第3名:https://www.kaggle.com/c/hpa-single-cell-image-classification/discussion/239166
第5名:https://www.kaggle.com/c/hpa-single-cell-image-classification/discussion/238487
第8名:https://www.kaggle.com/c/hpa-single-cell-image-classification/discussion/238361
第9名:https://www.kaggle.com/c/hpa-single-cell-image-classification/discussion/238678
第10名:https://www.kaggle.com/c/hpa-single-cell-image-classification/discussion/238364
第12名:https://www.kaggle.com/c/hpa-single-cell-image-classification/discussion/238343
第13名:https://www.kaggle.com/c/hpa-single-cell-image-classification/discussion/238333
第21名:https://www.kaggle.com/c/hpa-single-cell-image-classification/discussion/238474
第22名:https://www.kaggle.com/c/hpa-single-cell-image-classification/discussion/238387
第23名:https://www.kaggle.com/c/hpa-single-cell-image-classification/discussion/238512
第24名:https://www.kaggle.com/c/hpa-single-cell-image-classification/discussion/238401

Indoor Location & Navigation

a9543ac81e96f9a3a3a7fceb4479ad00.png

kaggle.com/c/indoor-loc

  • 比赛介绍:Identify the position of a smartphone in a shopping mall
  • 比赛类型:Research
  • 人数/队伍数/提交数:1446/1170/28009
  • 组队时间:20210128 - 20210517

优胜选手分享:

第1名:https://www.kaggle.com/c/indoor-location-navigation/discussion/240176
https://github.com/ttvand/Indoor-Location-Navigation-Public
第3名:https://www.kaggle.com/c/indoor-location-navigation/discussion/240161
第5名:https://www.kaggle.com/c/indoor-location-navigation/discussion/240852
第7名:https://www.kaggle.com/c/indoor-location-navigation/discussion/240259
第8名:https://www.kaggle.com/c/indoor-location-navigation/discussion/240151
第9名:https://www.kaggle.com/c/indoor-location-navigation/discussion/239919
第11名:https://www.kaggle.com/c/indoor-location-navigation/discussion/239981
第12名:https://www.kaggle.com/c/indoor-location-navigation/discussion/240196
第13名:https://www.kaggle.com/c/indoor-location-navigation/discussion/240319
第14名:https://www.kaggle.com/c/indoor-location-navigation/discussion/239998
第15名:https://www.kaggle.com/c/indoor-location-navigation/discussion/240773
第16名:https://www.kaggle.com/c/indoor-location-navigation/discussion/239909
第25名:https://www.kaggle.com/c/indoor-location-navigation/discussion/239893

Hash Code 2021 - Traffic Signaling

bf4f4af9a4f779cd334e89bbae2a2c99.png

kaggle.com/c/hashcode-2

  • 比赛介绍:Optimize city traffic in this extension of the 2021 Hash Code qualifier
  • 比赛类型:Playground
  • 人数/队伍数/提交数:189/179/825
  • 组队时间:20210225 - 20210525

优胜选手分享:

第2名:https://www.kaggle.com/sagishporer/2nd-place-solution-4508721

Herbarium 2021 - Half-Earth Challenge - FGVC8

eab494ce5671b17803a94b7655c0ee6a.png

kaggle.com/c/herbarium-

  • 比赛介绍:Identify plant species of the Americas, Oceania and the Pacific from herbarium specimens
  • 比赛类型:Research
  • 人数/队伍数/提交数:108/80/573
  • 组队时间:20210310 - 20210526

优胜选手分享:

第2名:https://www.kaggle.com/c/herbarium-2021-fgvc8/discussion/242233

Hotel-ID to Combat Human Trafficking 2021 - FGVC8

733f5dc774b22e305672f249cd48bc4f.png

kaggle.com/c/hotel-id-2

  • 比赛介绍:Recognizing hotels to aid Human trafficking investigations
  • 比赛类型:Research
  • 人数/队伍数/提交数:129/92/1083
  • 组队时间:20210310 - 20210526

优胜选手分享:

第1名:https://www.kaggle.com/c/hotel-id-2021-fgvc8/discussion/242087
第8名:https://www.kaggle.com/c/hotel-id-2021-fgvc8/discussion/242207
第14名:https://www.kaggle.com/c/hotel-id-2021-fgvc8/discussion/242030

Plant Pathology 2021 - FGVC8

67791454ed355334aa91ec3dbbf9c94f.png

kaggle.com/c/plant-path

  • 比赛介绍:Identify the category of foliar diseases in apple trees
  • 比赛类型:Research
  • 人数/队伍数/提交数:857/626/10483
  • 组队时间:20210315 - 20210526

优胜选手分享:

第1名:https://www.kaggle.com/c/plant-pathology-2021-fgvc8/discussion/243042
第2名:https://www.kaggle.com/c/plant-pathology-2021-fgvc8/discussion/242843
第3名:https://www.kaggle.com/c/plant-pathology-2021-fgvc8/discussion/242454

iWildcam 2021 - FGVC8

aaade8113d58ed6795ea643a34c300a7.png

kaggle.com/c/iwildcam20

  • 比赛介绍:Count the number of animals of each species present in a sequence of images
  • 比赛类型:Research
  • 人数/队伍数/提交数:65/42/579
  • 组队时间:20210310 - 20210528

优胜选手分享:

第1名:https://www.kaggle.com/c/iwildcam2021-fgvc8/discussion/245460
第2名:https://www.kaggle.com/c/iwildcam2021-fgvc8/discussion/245559
第3名:https://www.kaggle.com/c/iwildcam2021-fgvc8/discussion/244950
第4名:https://www.kaggle.com/c/iwildcam2021-fgvc8/discussion/243509
第7名:https://www.kaggle.com/c/iwildcam2021-fgvc8/discussion/242978

Tabular Playground Series - May 2021

350ae9ddbac653fb218b090ece554246.png

kaggle.com/c/tabular-pl

  • 比赛介绍:Practice your ML skills on this approachable dataset!
  • 比赛类型:Playground
  • 人数/队伍数/提交数:1150/1097/11614
  • 组队时间:20210501 - 20210531

优胜选手分享:

第1名:https://www.kaggle.com/c/tabular-playground-series-may-2021/discussion/243054
第3名:https://www.kaggle.com/c/tabular-playground-series-may-2021/discussion/243093
第13名:https://www.kaggle.com/c/tabular-playground-series-may-2021/discussion/243028

BirdCLEF 2021 - Birdcall Identification

7d71d5435b8f37b2ab296c4a2131bd31.png

kaggle.com/c/birdclef-2

  • 比赛介绍:Identify bird calls in soundscape recordings
  • 比赛类型:Research
  • 人数/队伍数/提交数:1001/816/9307
  • 组队时间:20210401 - 20210601

优胜选手分享:

第1名:https://www.kaggle.com/c/birdclef-2021/discussion/243927
第2名:https://www.kaggle.com/c/birdclef-2021/discussion/243463
第4名:https://www.kaggle.com/c/birdclef-2021/discussion/243293
第5名:https://www.kaggle.com/c/birdclef-2021/discussion/243351
第8名:https://www.kaggle.com/c/birdclef-2021/discussion/243756
第9名:https://www.kaggle.com/c/birdclef-2021/discussion/243324
第11名:https://www.kaggle.com/c/birdclef-2021/discussion/243360

Bristol-Myers Squibb – Molecular Translation

e20d6893fb1881186e02d1fb99483ad3.png

kaggle.com/c/bms-molecu

  • 比赛介绍:Can you translate chemical images to text?
  • 比赛类型:Featured
  • 人数/队伍数/提交数:1171/874/10237
  • 组队时间:20210302 - 20210603

优胜选手分享:

第3名:https://www.kaggle.com/c/bms-molecular-translation/discussion/243932
第4名:https://www.kaggle.com/c/bms-molecular-translation/discussion/243787
第5名:https://www.kaggle.com/c/bms-molecular-translation/discussion/243943
第6名:https://www.kaggle.com/c/bms-molecular-translation/discussion/245704
第7名:https://www.kaggle.com/c/bms-molecular-translation/discussion/243779
第8名:https://www.kaggle.com/c/bms-molecular-translation/discussion/244078
第9名:https://www.kaggle.com/c/bms-molecular-translation/discussion/243761
第10名:https://www.kaggle.com/c/bms-molecular-translation/discussion/243766
第12名:https://www.kaggle.com/c/bms-molecular-translation/discussion/243824
第13名:https://www.kaggle.com/c/bms-molecular-translation/discussion/244166
第24名:https://www.kaggle.com/c/bms-molecular-translation/discussion/243917

Coleridge Initiative - Show US the Data

04463c855321f133df491bc6288ae08a.png

kaggle.com/c/coleridgei

  • 比赛介绍:Discover how data is used for the public good
  • 比赛类型:Featured
  • 人数/队伍数/提交数:1948/1610/25957
  • 组队时间:20210323 - 20210622

优胜选手分享:

第1名:https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/discussion/248253
第2名:https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/discussion/248296
第5名:https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/discussion/248300
第6名:https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/discussion/248496
第13名:https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/discussion/248541
第14名:https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/discussion/248511
第17名:https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/discussion/248657
第23名:https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/discussion/248680
第44名:https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/discussion/248386
第47名:https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/discussion/248254
第55名:https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/discussion/248305

Tabular Playground Series - Jun 2021

kaggle.com/c/tabular-pl

  • 比赛介绍:Practice your ML skills on this approachable dataset!
  • 比赛类型:Playground
  • 人数/队伍数/提交数:1209/1171/11888
  • 组队时间:20210601 - 20210630

优胜选手分享:

第1名:https://www.kaggle.com/c/tabular-playground-series-jun-2021/discussion/250046
第2名:https://www.kaggle.com/c/tabular-playground-series-jun-2021/discussion/250060

Tabular Playground Series - Jul 2021

d342c366a23080fca7d2398d0979f4d4.png

kaggle.com/c/tabular-pl

  • 比赛介绍:Practice your ML skills on this approachable dataset!
  • 比赛类型:Playground
  • 人数/队伍数/提交数:1346/1293/13534
  • 组队时间:20210701 - 20210731

CommonLit Readability Prize

56dc8ffc5412e7e74d86e31b5240a085.png

kaggle.com/c/commonlitr

  • 比赛介绍:Rate the complexity of literary passages for grades 3-12 classroom use
  • 比赛类型:Featured
  • 人数/队伍数/提交数:4393/3633/72150
  • 组队时间:20210503 - 20210802

优胜选手分享:

第1名:https://www.kaggle.com/c/commonlitreadabilityprize/discussion/257844
第2名:https://www.kaggle.com/c/commonlitreadabilityprize/discussion/258328
第3名:https://www.kaggle.com/c/commonlitreadabilityprize/discussion/258095
第4名:https://www.kaggle.com/c/commonlitreadabilityprize/discussion/258148
第6名:https://www.kaggle.com/c/commonlitreadabilityprize/discussion/258554
第15名:https://www.kaggle.com/c/commonlitreadabilityprize/discussion/260800
第20名:https://www.kaggle.com/c/commonlitreadabilityprize/discussion/257281
第40名:https://www.kaggle.com/c/commonlitreadabilityprize/discussion/258363

Google Smartphone Decimeter Challenge

f91cc4cb8b35cffeec0431bff9331908.png

kaggle.com/c/google-sma

  • 比赛介绍:Improve high precision GNSS positioning and navigation accuracy on smartphones
  • 比赛类型:Research
  • 人数/队伍数/提交数:985/810/16802
  • 组队时间:20210512 - 20210804

优胜选手分享:

第1名:https://www.kaggle.com/c/google-smartphone-decimeter-challenge/discussion/262406
第2名:https://www.kaggle.com/c/google-smartphone-decimeter-challenge/discussion/261876
第3名:https://www.kaggle.com/c/google-smartphone-decimeter-challenge/discussion/262355
第5名:https://www.kaggle.com/c/google-smartphone-decimeter-challenge/discussion/261746
第6名:https://www.kaggle.com/c/google-smartphone-decimeter-challenge/discussion/262195
第7名:https://www.kaggle.com/c/google-smartphone-decimeter-challenge/discussion/261732
第8名:https://www.kaggle.com/c/google-smartphone-decimeter-challenge/discussion/262074
第18名:https://www.kaggle.com/c/google-smartphone-decimeter-challenge/discussion/261774
第19名:https://www.kaggle.com/c/google-smartphone-decimeter-challenge/discussion/262941

Hungry Geese

8cb746e3b86daeeff80c7e4e6a87fac5.png

kaggle.com/c/hungry-gee

  • 比赛介绍:Don't. Stop. Eating.
  • 比赛类型:Playground
  • 人数/队伍数/提交数:1039/875/33296
  • 组队时间:20210126 - 20210809

优胜选手分享:

第1名:https://www.kaggle.com/c/hungry-geese/discussion/263279
第2名:https://www.kaggle.com/c/hungry-geese/discussion/263686
第3名:https://www.kaggle.com/c/hungry-geese/discussion/263735
第4名:https://www.kaggle.com/c/hungry-geese/discussion/263690
第5名:https://www.kaggle.com/c/hungry-geese/discussion/263702
第6名:https://www.kaggle.com/c/hungry-geese/discussion/263916
第7名:https://www.kaggle.com/c/hungry-geese/discussion/263486
第8名:https://www.kaggle.com/c/hungry-geese/discussion/264015
第9名:https://www.kaggle.com/c/hungry-geese/discussion/255931
第10名:https://www.kaggle.com/shoheiazuma/10th-place-solution
第11名:https://www.kaggle.com/c/hungry-geese/discussion/263655
第28名:https://www.kaggle.com/c/hungry-geese/discussion/263709

SIIM-FISABIO-RSNA COVID-19 Detection

b452844293bc85b3684a96e6fc425646.png

kaggle.com/c/siim-covid

  • 比赛介绍:Identify and localize COVID-19 abnormalities on chest radiographs
  • 比赛类型:Featured
  • 人数/队伍数/提交数:1786/1305/32307
  • 组队时间:20210518 - 20210809

优胜选手分享:

第1名:https://www.kaggle.com/c/siim-covid19-detection/discussion/263658
第2名:https://www.kaggle.com/c/siim-covid19-detection/discussion/263674
第3名:https://www.kaggle.com/c/siim-covid19-detection/discussion/263654
第4名:https://www.kaggle.com/c/siim-covid19-detection/discussion/264243
第5名:https://www.kaggle.com/c/siim-covid19-detection/discussion/263945
第9名:https://www.kaggle.com/c/siim-covid19-detection/discussion/265583
第10名:https://www.kaggle.com/c/siim-covid19-detection/discussion/263683

SETI Breakthrough Listen - E.T. Signal Search

cf7aab0c8014c6db5ec1ef6b835a9972.png

kaggle.com/c/seti-break

  • 比赛介绍:Find extraterrestrial signals in data from deep space
  • 比赛类型:Research
  • 人数/队伍数/提交数:979/768/17367
  • 组队时间:20210510 - 20210818

优胜选手分享:

第1名:https://www.kaggle.com/c/seti-breakthrough-listen/discussion/266385
第2名:https://www.kaggle.com/c/seti-breakthrough-listen/discussion/266397
第3名:https://www.kaggle.com/c/seti-breakthrough-listen/discussion/266403
第4名:https://www.kaggle.com/c/seti-breakthrough-listen/discussion/266396
第5名:https://www.kaggle.com/c/seti-breakthrough-listen/discussion/266394
第6名:https://www.kaggle.com/c/seti-breakthrough-listen/discussion/266460
第8名:https://www.kaggle.com/c/seti-breakthrough-listen/discussion/266619
第9名:https://www.kaggle.com/c/seti-breakthrough-listen/discussion/266852
第10名:https://www.kaggle.com/c/seti-breakthrough-listen/discussion/266417
第12名:https://www.kaggle.com/c/seti-breakthrough-listen/discussion/266711
第15名:https://www.kaggle.com/c/seti-breakthrough-listen/discussion/266480
第58名:https://www.kaggle.com/c/seti-breakthrough-listen/discussion/266662
第86名:https://www.kaggle.com/c/seti-breakthrough-listen/discussion/266534

Tabular Playground Series - Aug 2021

d6739416cee1bf37b0776a5dec307591.png

kaggle.com/c/tabular-pl

  • 比赛介绍:Practice your ML skills on this approachable dataset!
  • 比赛类型:Playground
  • 人数/队伍数/提交数:1841/1753/16696
  • 组队时间:20210801 - 20210831

优胜选手分享:

第1名:https://www.kaggle.com/c/tabular-playground-series-aug-2021/discussion/270051

MLB Player Digital Engagement Forecasting

ff560f96a9661afea99b51e392673cc9.png

kaggle.com/c/mlb-player

  • 比赛介绍:Predict fan engagement with baseball player digital content
  • 比赛类型:Featured
  • 人数/队伍数/提交数:None/852/660
  • 组队时间:20210610 - 20210909

优胜选手分享:

第1名:https://www.kaggle.com/c/mlb-player-digital-engagement-forecasting/discussion/274255
第2名:https://www.kaggle.com/c/mlb-player-digital-engagement-forecasting/discussion/274661
第3名:https://www.kaggle.com/c/mlb-player-digital-engagement-forecasting/discussion/256620
第5名:https://www.kaggle.com/c/mlb-player-digital-engagement-forecasting/discussion/271345
第6名:https://www.kaggle.com/c/mlb-player-digital-engagement-forecasting/discussion/271890
第8名:https://www.kaggle.com/c/mlb-player-digital-engagement-forecasting/discussion/271683
第11名:https://www.kaggle.com/c/mlb-player-digital-engagement-forecasting/discussion/264396
第22名:https://www.kaggle.com/c/mlb-player-digital-engagement-forecasting/discussion/261020

G2Net Gravitational Wave Detection

83631186f5dec2bfce654b1c88109153.png

kaggle.com/c/g2net-grav

  • 比赛介绍:Find gravitational wave signals from binary black hole collisions
  • 比赛类型:Research
  • 人数/队伍数/提交数:1501/1219/28222
  • 组队时间:20210630 - 20210929

优胜选手分享:

第1名:https://www.kaggle.com/c/g2net-gravitational-wave-detection/discussion/275476
第2名:https://www.kaggle.com/c/g2net-gravitational-wave-detection/discussion/275341
第3名:https://www.kaggle.com/c/g2net-gravitational-wave-detection/discussion/275617
第4名:https://www.kaggle.com/c/g2net-gravitational-wave-detection/discussion/275331
第8名:https://www.kaggle.com/c/g2net-gravitational-wave-detection/discussion/275335
第18名:https://www.kaggle.com/c/g2net-gravitational-wave-detection/discussion/275318

LearnPlatform COVID-19 Impact on Digital Learning

5213db20075894f9a9ca9df9ba75dc4d.png

kaggle.com/c/learnplatf

  • 比赛介绍:Use digital learning data to analyze the impact of COVID-19 on student learning
  • 比赛类型:Analytics
  • 人数/队伍数/提交数:0/0/0
  • 组队时间:20210802 - 20210930

Tabular Playground Series - Sep 2021

da04f0c98e25d0facc8a05af8ff48b87.png

kaggle.com/c/tabular-pl

  • 比赛介绍:Practice your ML skills on this approachable dataset!
  • 比赛类型:Playground
  • 人数/队伍数/提交数:2060/1942/18394
  • 组队时间:20210901 - 20210930

优胜选手分享:

第2名:https://www.kaggle.com/c/tabular-playground-series-sep-2021/discussion/275740

Google Landmark Retrieval 2021

1421ffb1ac3e05aa756e6e2802284899.png

kaggle.com/c/landmark-r

  • 比赛介绍:Given an image, can you find all of the same landmarks in a dataset?
  • 比赛类型:Research
  • 人数/队伍数/提交数:392/263/6782
  • 组队时间:20210811 - 20211001

优胜选手分享:

第1名:https://www.kaggle.com/c/landmark-retrieval-2021/discussion/277099
第2名:https://www.kaggle.com/c/landmark-retrieval-2021/discussion/277273
第3名:https://www.kaggle.com/c/landmark-retrieval-2021/discussion/277382
第5名:https://www.kaggle.com/c/landmark-retrieval-2021/discussion/275955
第6名:https://www.kaggle.com/c/landmark-retrieval-2021/discussion/276632
第11名:https://www.kaggle.com/c/landmark-retrieval-2021/discussion/276338
第13名:https://www.kaggle.com/c/landmark-retrieval-2021/discussion/275924

Google Landmark Recognition 2021

49040e79f842146e5aebf1ca9196cafe.png

kaggle.com/c/landmark-r

  • 比赛介绍:Label famous, and not-so-famous, landmarks in images
  • 比赛类型:Research
  • 人数/队伍数/提交数:525/383/8717
  • 组队时间:20210811 - 20211001

优胜选手分享:

第1名:https://www.kaggle.com/c/landmark-recognition-2021/discussion/277098
第3名:https://www.kaggle.com/c/landmark-recognition-2021/discussion/275870
第4名:https://www.kaggle.com/c/landmark-recognition-2021/discussion/277386
第5名:https://www.kaggle.com/c/landmark-recognition-2021/discussion/275876
第8名:https://www.kaggle.com/c/landmark-recognition-2021/discussion/276636

RSNA-MICCAI Brain Tumor Radiogenomic Classification

kaggle.com/c/rsna-micca

  • 比赛介绍:Predict the status of a genetic biomarker important for brain cancer treatment
  • 比赛类型:Featured
  • 人数/队伍数/提交数:1958/1555/27466
  • 组队时间:20210713 - 20211015

优胜选手分享:

第1名:https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/281347
第2名:https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/280033
第4名:https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/280029
第6名:https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/280402
第9名:https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/279826
第12名:https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/279832

Tabular Playground Series - Oct 2021

b38663cd51848551d892a86f9906ac28.png

kaggle.com/c/tabular-pl

  • 比赛介绍:Practice your ML skills on this approachable dataset!
  • 比赛类型:Playground
  • 人数/队伍数/提交数:1124/1089/10119
  • 组队时间:20211001 - 20211031

优胜选手分享:

第1名:https://www.kaggle.com/c/tabular-playground-series-oct-2021/discussion/284511
第3名:https://www.kaggle.com/c/tabular-playground-series-oct-2021/discussion/284594
第4名:https://www.kaggle.com/c/tabular-playground-series-oct-2021/discussion/284560
第9名:https://www.kaggle.com/c/tabular-playground-series-oct-2021/discussion/284492

NFL Health & Safety - Helmet Assignment

d8df2b0dfb84b5265db5713108ff7a14.png

kaggle.com/c/nfl-health

  • 比赛介绍:Segment and label helmets in video footage
  • 比赛类型:Featured
  • 人数/队伍数/提交数:1028/825/12600
  • 组队时间:20210810 - 20211102

优胜选手分享:

第1名:https://www.kaggle.com/c/nfl-health-and-safety-helmet-assignment/discussion/284975
第2名:https://www.kaggle.com/c/nfl-health-and-safety-helmet-assignment/discussion/285112
第3名:https://www.kaggle.com/c/nfl-health-and-safety-helmet-assignment/discussion/285076
第4名:https://www.kaggle.com/c/nfl-health-and-safety-helmet-assignment/discussion/285007
第5名:https://www.kaggle.com/c/nfl-health-and-safety-helmet-assignment/discussion/285286
第9名:https://www.kaggle.com/c/nfl-health-and-safety-helmet-assignment/discussion/284940
第10名:https://www.kaggle.com/c/nfl-health-and-safety-helmet-assignment/discussion/284945
第11名:https://www.kaggle.com/c/nfl-health-and-safety-helmet-assignment/discussion/285156
第21名:https://www.kaggle.com/c/nfl-health-and-safety-helmet-assignment/discussion/285065
第22名:https://www.kaggle.com/c/nfl-health-and-safety-helmet-assignment/discussion/285179
第23名:https://www.kaggle.com/c/nfl-health-and-safety-helmet-assignment/discussion/285285
第25名:https://www.kaggle.com/c/nfl-health-and-safety-helmet-assignment/discussion/285153
第30名:https://www.kaggle.com/c/nfl-health-and-safety-helmet-assignment/discussion/285127
第39名:https://www.kaggle.com/c/nfl-health-and-safety-helmet-assignment/discussion/285059

Google Brain - Ventilator Pressure Prediction

fe210ce089d7ce4397a42ce48ed76b02.png

kaggle.com/c/ventilator

  • 比赛介绍:Simulate a ventilator connected to a sedated patient's lung
  • 比赛类型:Research
  • 人数/队伍数/提交数:3118/2605/46281
  • 组队时间:20210922 - 20211103

优胜选手分享:

第1名:https://www.kaggle.com/c/ventilator-pressure-prediction/discussion/285965
第2名:https://www.kaggle.com/c/ventilator-pressure-prediction/discussion/285283
第3名:https://www.kaggle.com/c/ventilator-pressure-prediction/discussion/285330
第4名:https://www.kaggle.com/c/ventilator-pressure-prediction/discussion/285278
第5名:https://www.kaggle.com/c/ventilator-pressure-prediction/discussion/285402
第6名:https://www.kaggle.com/c/ventilator-pressure-prediction/discussion/285282
第9名:https://www.kaggle.com/c/ventilator-pressure-prediction/discussion/285353
第13名:https://www.kaggle.com/c/ventilator-pressure-prediction/discussion/285435

Chaii - Hindi and Tamil Question Answering

daa188f176f8f5c32cba2738f607ba4d.png

kaggle.com/c/chaii-hind

  • 比赛介绍:Identify the answer to questions found in Indian language passages
  • 比赛类型:Research
  • 人数/队伍数/提交数:1148/943/18727
  • 组队时间:20210811 - 20211115

优胜选手分享:

第1名:https://www.kaggle.com/c/chaii-hindi-and-tamil-question-answering/discussion/287923
第2名:https://www.kaggle.com/c/chaii-hindi-and-tamil-question-answering/discussion/287917
第5名:https://www.kaggle.com/c/chaii-hindi-and-tamil-question-answering/discussion/288049
第17名:https://www.kaggle.com/c/chaii-hindi-and-tamil-question-answering/discussion/287914

2021 Kaggle Machine Learning & Data Science Survey

600a1a2ce47431247a5f06f6079caa59.png

kaggle.com/c/kaggle-sur

  • 比赛介绍:The most comprehensive dataset available on the state of ML and data science
  • 比赛类型:Analytics
  • 人数/队伍数/提交数:0/0/0
  • 组队时间:20211014 - 20211128

Tabular Playground Series - Nov 2021

bc6c0fe4103250e7b55a6ed3a26883e3.png

kaggle.com/c/tabular-pl

  • 比赛介绍:Practice your ML skills on this approachable dataset!
  • 比赛类型:Playground
  • 人数/队伍数/提交数:1422/1362/14710
  • 组队时间:20211101 - 20211130

优胜选手分享:

第3名:https://www.kaggle.com/c/tabular-playground-series-nov-2021/discussion/291766

Wikipedia - Image/Caption Matching

baece680b9833aac149f76b0ce17c658.png

kaggle.com/c/wikipedia-

  • 比赛介绍:Retrieve captions based on images
  • 比赛类型:Playground
  • 人数/队伍数/提交数:121/105/548
  • 组队时间:20210913 - 20211209

Lux AI

8aba9c2bbb976798417a388e23fdfce3.png

kaggle.com/c/lux-ai-202

  • 比赛介绍:Gather the most resources and survive the night!
  • 比赛类型:Featured
  • 人数/队伍数/提交数:1464/1186/22507
  • 组队时间:20210816 - 20211220

优胜选手分享:

第4名:https://www.kaggle.com/c/lux-ai-2021/discussion/296938
第5名:https://www.kaggle.com/c/lux-ai-2021/discussion/293911
第6名:https://www.kaggle.com/c/lux-ai-2021/discussion/293776
第8名:https://www.kaggle.com/c/lux-ai-2021/discussion/294603
第12名:https://www.kaggle.com/c/lux-ai-2021/discussion/293953
第16名:https://www.kaggle.com/c/lux-ai-2021/discussion/293835
第20名:https://www.kaggle.com/c/lux-ai-2021/discussion/294098

Sartorius - Cell Instance Segmentation

adb222c522e85f44bb223991bc47c46a.png

kaggle.com/c/sartorius-

  • 比赛介绍:Detect single neuronal cells in microscopy images
  • 比赛类型:Featured
  • 人数/队伍数/提交数:2058/1559/34378
  • 组队时间:20211014 - 20211230

优胜选手分享:

第1名:https://www.kaggle.com/c/sartorius-cell-instance-segmentation/discussion/298869
第2名:https://www.kaggle.com/c/sartorius-cell-instance-segmentation/discussion/297988
第4名:https://www.kaggle.com/c/sartorius-cell-instance-segmentation/discussion/298021
第5名:https://www.kaggle.com/c/sartorius-cell-instance-segmentation/discussion/298081
第6名:https://www.kaggle.com/c/sartorius-cell-instance-segmentation/discussion/297986
第8名:https://www.kaggle.com/c/sartorius-cell-instance-segmentation/discussion/297998
第9名:https://www.kaggle.com/c/sartorius-cell-instance-segmentation/discussion/297985
第11名:https://www.kaggle.com/c/sartorius-cell-instance-segmentation/discussion/298038

Tabular Playground Series - Dec 2021

8244e8bcfcdf664ea101c4fb6f922685.png

kaggle.com/c/tabular-pl

  • 比赛介绍:Practice your ML skills on this approachable dataset!
  • 比赛类型:Playground
  • 人数/队伍数/提交数:1234/1188/12524
  • 组队时间:20211201 - 20211231

优胜选手分享:

第2名:https://www.kaggle.com/c/tabular-playground-series-dec-2021/discussion/298304

本文来自互联网用户投稿,该文观点仅代表作者本人,不代表本站立场。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如若转载,请注明出处:http://www.rhkb.cn/news/55056.html

如若内容造成侵权/违法违规/事实不符,请联系长河编程网进行投诉反馈email:809451989@qq.com,一经查实,立即删除!

相关文章

整理了20场kaggle比赛baseline

我整理了20场kaggle比赛baseline,包括CV/NLP/多模态/机器学习等方向。 01 CV方向比赛 CV方向选出了10场比赛,涵盖图像分类、图像分割、目标检测、视频分类等CV经典任务,覆盖农业、医疗、体育等应用领域。 扫码加我微信,回复“比赛…

【探花交友DAY 12 完结】推荐系统

1. 推荐系统 1.1 推荐系统的简介 为了解决信息过载和用户无明确需求的问题,找到用户感兴趣的物品,才有了个性化推荐系统。 其实,解决信息过载的问题,代表性的解决方案是分类目录和搜索引擎,如hao123,电商…

【Kaggle竞赛树叶分类Baseline】上万片树叶分为一百七十六类

【Kaggle竞赛树叶分类1】https://www.kaggle.com/c/classify-leaves 任务是预测叶子图像的类别。该数据集包含 176 个类别、18353 张训练图像、8800 张测试图像。每个类别至少有 50 张图像用于训练。测试集平均分为公共和私人排行榜。本次比赛的评估指标是分类准确度。本章的内…

kaggle竞赛房价预测--排名前4%

目录 1. 数据读取2. 数据处理3. 建模基本模型1)LASSO回归:2)Elastic Net Regression(弹性网回归):3)Kernel Ridge Regression(核岭回归) :4)Gradient Boostin…

商务英语口语考试准备

企业类型 state-owned enterprise 国有企业 collective enterprise 集体企业 township enterprise 乡镇企业 privately-owned enterprise 私企 listed/quoted company 上市企业 Sino-foreign joint venture 中外合资企业 group corporation 集团公…

【AIGC】AI欺诈,做好以下几点,无需忧虑

文章目录 前言列举几种AI欺诈的形式以及其识别方法1.AI深度学习生成的假视频、假图片2.AI自动生成的德文或语音3.AI自动注册账号和刷数据4.AI智能防御机制 如何预防?1.提高公众警惕性2.发展AI监测技术3.加强关键领域的人工审核4.完善法律法规5.国际合作与交流6.开源…

AI+保险,打造让投保人“叫绝”的服务方式

近年来,信息技术在保险领域的应用越来越广泛,在稳步推进保险业务的线上化与智能化的同时,也让保险服务覆盖率有了极大的提升。然而,保险业服务在智能化转型方面仍面临着诸多挑战。 咨询热线统一接入,客户来电不遗漏 保险企业客户不仅体量大…

BERT模型和代码解析

1 前言 本期内容,笔者想解析一下自然语言处理(NLP)中非常有名的基于变换器的双向编码器表示技术(即Bidirectional Encoder Representations from Transformers,BERT)。 BERT 想当年(2019年&…

Spring Cloud 微服务放了一个大招!

大家好,我是R哥。 关注了一段时间公众号的小伙伴都知道,R哥的 Spring Cloud 微服务课程每月初都会给小伙伴搞一波活动,这个月,我决定放一次大招,福利全新升级!! 本月初七天内报名微服务课程的&a…

chatgpt赋能python:Python取消warning指南:如何避免和处理警告

Python取消warning指南:如何避免和处理警告 如果您已经在使用Python编程,那么您一定会遇到过警告(warning)这个问题。虽然警告有时可能很有用,但在特定情况下,它们可能会引起程序错误或产生意想不到的行为…

AI绘画——了解AI绘画爆火原因与工具,并生成几个端午绘画小作品

作者简介:一名云计算网络运维人员、每天分享网络与运维的技术与干货。 座右铭:低头赶路,敬事如仪 个人主页:网络豆的主页​​​​​ 目录 前言 一.AI绘画 1.AI绘画爆火原因 2.AI绘画背后原理 二.AI绘画工具介绍 1.midjour…

强烈推荐:一款中文AI问答、创作、绘画工具

前言 相信很多人已经听过ChatGPT这款人工智能机器人了,它能够根据用户输入的内容,自动生成智能回复。它使用自然语言处理技术,通过学习大量的文本资料,能够模拟人类的对话行为。它是由OpenAI开发的,一家非常伟大的人工…

AI绘画提示词在线工具

AI绘画提示词在线工具 该工具穷举了常用的stable diffusion提示词,中英文对照展示。辅助各位使用提示词,一定程度上减少提示词的思考。

AI 绘画(1):生成一个图片的标准流程

文章目录 文章回顾感谢人员生成一个图片的标准流程前期准备,以文生图为例去C站下载你需要的绘画模型导入参数导入生成结果?可能是BUG事后处理 图生图如何高度贴合原图火柴人转角色 涂鸦局部重绘 Ai绘画公约 文章回顾 AI 绘画(0)&…

最全的AI绘画提示词网站,抓紧收藏!!!

最全的AI绘画提示词网站,抓紧收藏!!! AI绘画的原理是基于深度学习和神经网络技术,通过训练模型来学习和模仿人类绘画的技巧和风格,从而生成具有艺术性的图像。具体来说,AI绘画的过程包括输入图像…

【AI】1649- 12个火爆AI提示词工具,点燃你的创意灵感

关注 “AI 工具派” 探索最新 AI 工具,发现 AI 带来的无限可能性! 大家好,Chris 今天为大家介绍一些热门的 ChatGPT、Midjourney 等 AI 提示词工具的网站,这些工具将为您的文案创作带来更多的创意和灵感。如果您是一个文案撰写者、…

如何使用OpenAI API和Python SDK构建自己的聊天机器人

近日,OpenAI公司的ChatGPT模型走红网络。同时,OpenAI也推出了Chat API和gpt-3.5-turbo模型,让开发者能够更轻松地使用与ChatGPT类似的自然语言处理模型。 通过OpenAI API,我们可以使用gpt-3.5-turbo模型,实现多种任务&…

微信小程序+讯飞语音实现个人语音助手

由于 上传图片过于麻烦,建议 跳转到 github typora-copy-images-to: images 1. 介绍 ​ 本案例主要 实现一个微信小程序语音助手,可以以提供的功能如下: 语音输入返回结果小程序北京的天气雨水将短暂停歇,最高气温回升至28℃。语音播放 返…

华为小艺输入法测试版 1.0.19.103 发布

新增微信 / QQ 回车键发送消息功能开关 华为小艺输入法迎来 1.0.19.103 版本众测,本次更新后,新增微信、QQ 回车键发送消息功能开关;新增商城语录、表情、皮肤等投诉举报入口;新增拼音输入过程中上滑数字不打断输入;联…

「流云行走,代码穿梭:Wails 携手 ChatGPT 打造 MOOC 下载器」

AD 需要gpt账号的v : iseswordgpt起名字 gpt翻译代码 因为为下载器里面有js加密代码,之前就是把网站上面的js加密代码扣下来,用goja运行js代码,但是它不能用于协程,要是想用goja,就要每个协程运行一个goja.Runtime。…