└── README.md /README.md: -------------------------------------------------------------------------------- 1 | 2 | Data competition Top Solution 数据竞赛Top解决方案开源整理 3 | -- 4 | 持续更新中 5 | 欢迎大家一起参加 6 | [![Badge](https://img.shields.io/badge/link-996.icu-%23FF4D5B.svg?style=flat-square)](https://996.icu/#/en_US) 7 | ## 一、数据竞赛： 8 | 9 | 1. 2019 CCF 基于OCR的身份证要素提取 10 | Rank1: https://github.com/Mingtzge/2019-CCF-BDCI-OCR-MCZJ-OCR-IdentificationIDElement 11 | 12 | 2. 2019 CCF 云计算时代的大数据查询分析优化 13 | Rank1: https://github.com/hezuojiao/bigdata_race 14 | 15 | 3. 2019 CCF 多人种人脸识别 16 | Rank1: https://github.com/themostnewone/2019ccf 17 | 18 | 4. 2019 CCF 三角形图计算算法设计及性能优化 19 | Rank1: https://github.com/YangWuuu/CCF_BDCI_2019_TRICOUNT 20 | 21 | 5. 2019 CCF 离散制造过程中典型工件的质量符合率预测 22 | Rank1: https://github.com/CcIsHandsome/-TOP1- 23 | 24 | 6. 2019 CCF 乘用车细分市场销量预测 25 | Rank1: https://github.com/cxq80803716/2019-CCF-BDCI-Car_sales 26 | 27 | 7. 2019 CCF 金融信息负面及主体判定 28 | Rank1: https://github.com/xiong666/ccf_financial_negative 29 | 30 | 8. 2019 CCF 视频版权检测算法 31 | Rank1: https://github.com/landlee001/Video-infringement-detection 32 | 33 | 9. 2019 CCF “技术需求”与“技术成果”项目之间关联度计算模型 34 | Rank1: https://github.com/Makaixin/Correlation-between-requirements-and-achievements 35 | 36 | 10. 2019 智能盘点—钢筋数量AI识别 37 | Rank1: https://github.com/HarleysZhang/detect_steel_number 38 | 39 | 11. 2019 混凝土泵车砼活塞故障预警 40 | Rank1: https://github.com/pinlank/DCIC_Failure-Prediction-of-Concrete-Piston-for-Concrete-Pump-Vehicles_1st 41 | 42 | 12. 2019 消费者人群画像—信用智能评分 43 | Rank1: https://github.com/C-rawler/DCIC-2019-Credit-intelligence-score-2th-Place 44 | Rank2: https://github.com/xy0210/DCIC-2019-China-Mobile 45 | 46 | 13. 2019 汽车论坛消费者用车体验内容的判别与标注 47 | Rank1: https://github.com/w5688414/car-forum-customer 48 | 49 | 14. 2019 第五届“四维图新”杯创新大赛 50 | Rank1: https://github.com/zhengye1995/datafountain_siweituxin_autodriver_det 51 | 52 | 15. 2019 安全AI挑战者计划第二期 - ImageNet图像分类对抗攻击 53 | Rank1: https://drive.google.com/open?id=1Up1fV-PaiHin3xSqXicsP9yyc1dWUD47 54 | Rank2: https://github.com/IDKiro/Attack-ImageNet 55 | Rank3: https://github.com/Equationliu/Attack-ImageNet 56 | 57 | 16. 2019 "合肥高新杯"心电人机智能大赛 58 | Rank1: https://github.com/RandomWalk-xzq/Hefei_ECG_TOP1 59 | 60 | 17. 2019 华为账号用户人口属性预测 61 | Rank14: https://github.com/WeavingWong/DigiX_HuaWei_Population_Age_Attribution_Predict 62 | 63 | 18. 第四届“魔镜杯”数据应用大赛 64 | Rank2: https://github.com/LibraM9/ppd_mirror 65 | Baseline1: https://github.com/zzz333za/ppd 66 | Baseline2: https://github.com/vinklibrary/ppd_mojing4 67 | 68 | 19. 2019 “创青春·交子杯”新网银行高校金融科技挑战赛 69 | Rank1: https://github.com/TimeChi/Lip_Reading_Competition 70 | Rank6: https://github.com/liuzhejun/XWbank_LipReading 71 | 72 | 20. 2019 国能日新第二届光伏功率预测赛 73 | Rank25: https://github.com/jsnuwjl/Photovoltaic_power 74 | 75 | 21. 2019 “雅典娜杯”数据挖掘大赛邀请赛 76 | Rank14: https://github.com/shaobo76/ydn2019 77 | Rank17: https://github.com/Travisgogogo/2019-ABC-Athena 78 | 79 | 22. 2019 厦门国际银行“数创金融杯”数据建模大赛 80 | Rank6: https://github.com/yanqiangmiffy/Data-Finance-Cup 81 | 82 | 23. 2019 Urban Region Function Classification 83 | Rank2: https://github.com/zhuqunxi/Urban-Region-Function-Classification 84 | 85 | 24. 2019 短视频内容理解与推荐竞赛 86 | Rank8: https://www.zhuanzhi.ai/document/57000873027e2910fd452f42c90b2104 87 | 88 | 25. 2019 DigSci 科学数据挖掘大赛 89 | Rank1: https://zhuanlan.zhihu.com/p/88664963 90 | Rank2: https://zhuanlan.zhihu.com/p/88257675 91 | 92 | 26. 2018科大讯飞AI营销算法大赛 93 | Rank1：https://zhuanlan.zhihu.com/p/47807544 94 | Rank2：https://github.com/infturing/kdxf 95 | Rank21：https://github.com/Michaelhuazhang/-AI21- 96 | 97 | 27. 2018 IJCAI 阿里妈妈搜索广告转化预测 98 | Rank1：https://github.com/plantsgo/ijcai-2018 99 | Rank2：https://github.com/YouChouNoBB/ijcai-18-top2-single-mole-solution 100 | https://blog.csdnnet/Bryan__/article/details/80600189 101 | Rank3: https://github.com/luoda888/2018-IJCAI-top3 102 | Rank8: https://github.com/fanfanda/ijcai_2018 103 | Rank8: https://github.com/Gene20/IJCAI-18 104 | Rank9（第一赛季）https://github.com/yuxiaowww/IJCAI-18-TIANCHI 105 | Rank29: https://github.com/bettenW/IJCAI18_Tianchi_Rank29 106 | Rank41: https://github.com/cmlaughing/IJCAI-18 107 | Rank48: https://github.com/YunaQiu/IJCAI-18alimama 108 | Rank53: https://github.com/altmanWang/IJCAI-18-CVR 109 | Rank60: https://github.com/Chenyaorui/ijcai_2018 110 | Rank81: https://github.com/wzp123456/IJCAI_18 111 | Rank94: https://github.com/Yangtze121/-IJCAI-18- 112 | 113 | 28. 2018腾讯广告算法大赛 114 | Rank3: https://github.com/DiligentPanda/Tencent_Ads_Algo_2018 115 | rank6: https://github.com/nzc/tencent-contest 116 | Rank7: https://github.com/guoday/Tencent2018_Lookalike_Rank7th 117 | Rank9: https://github.com/ouwenjie03/tencent-ad-game 118 | Rank10: https://github.com/keyunluo/Tencent2018_Lookalike_Rank10th 119 | rank10（初赛）: https://github.com/ShawnyXiao/2018-Tencent-Lookalike 120 | Rank11: https://github.com/liupengsay/2018-Tencent-social-advertising-algorithm-contest 121 | https://my.oschina.net/xtzggbmkk/blog/1865680 122 | Rank26: https://github.com/zsyandjyhouse/TencentAD_contest 123 | Rank33: https://github.com/John-Yao/Tencent_Social_Ads2018 124 | Rank69: https://github.com/BladeCoda/Tencent2018_Final_Phrase_Presto 125 | 126 | 29. 2017腾讯广告算法大赛 127 | Rank14: https://github.com/freelzy/Tencent_Social_Ads 128 | Rank20: https://github.com/shenweichen/Tencent_Social_Ads2017_Mobile_App_pCVR 129 | 130 | 30. 2018高校大数据挑战赛-快手活跃用户预测 131 | Rank1： https://github.com/drop-out/RNN-Active-User-Forecast 132 | https://zhuanlan.zhihu.com/p/42622063 133 | Rank4: https://github.com/chantcalf/2018-Rank4- 134 | Rank13(初赛 a榜rank2 b榜rank5): https://github.com/luoda888/2018-KUAISHOU-TSINGHUA-Top13-Solutions 135 | https://github.com/totoruo/KuaiShou2018-RANK13-RNN 136 | Rank15: https://github.com/sunwantong/Kuaishou-Active-User 137 | Rank20: https://github.com/bigzhao/Kuaishou_2018_rank20th 138 | Rank28(初赛 a榜rank1 b榜rank2)：https://github.com/YangKing0834131/2018-KUAISHOU-TSINGHUA-Top28-Solutions- 139 | https://github.com/FNo0/2018-KUAISHOU-Top28 140 | Rank35：https://github.com/chizhu/kuaishou2018 141 | 142 | 31. 2018JDATA 用户购买时间预测 143 | Rank9：https://zhuanlan.zhihu.com/p/45141799 144 | 145 | 32. 2018 DF风机叶片开裂预警 146 | Rank2：https://github.com/SY575/DF-Early-warning-of-the-wind-power-system 147 | 148 | 33. 2018 DF光伏发电量预测 149 | Rank1：https://zhuanlan.zhihu.com/p/44755488?utm_source=qq&utm_medium=social&utm_oi=623925402599559168 150 | https://mp.weixin.qq.com/s/Yix0xVp2SiqaAcuS6Q049g 151 | 152 | 34. 智慧金融马上AI全球挑战者大赛-违约用户风险预测 153 | Rank1：https://github.com/chenkkkk/User-loan-risk-prediction 154 | 155 | 35. 2016融360-用户贷款风险预测 156 | Rank7：https://github.com/hczheng/Rong360 157 | 158 | 36. 2018 CCF-面向电信行业存量用户的智能套餐个性化匹配模型 159 | Rank1：https://github.com/PPshrimpGo/BDCI2018-ChinauUicom-1st-solution 160 | Rank2：https://github.com/PandasCute/2018-CCF-BDCI-China-Unicom-Research-Institute-top2 161 | Rank4：https://github.com/jinchenyu/2018_CCF_BDCI_ChinaUicom_rank4_solution 162 | Rank6：https://github.com/ZengHaihong/2018_CCF_BDCI_ChinaUnicom_Package_Match_Rank6 163 | 164 | 37. 2017 CCF-商场中精确定位用户所在店铺 165 | Rank1：https://github.com/drop-out/Tianchi-Wifi-Positioning 166 | 167 | 168 | 38. 2018 CCF-汽车行业用户观点主题及情感识别ASC挑战赛 169 | Rank1: https://github.com/yilirin/BDCI_Car_2018 170 | Rank7: https://github.com/nlpjoe/CCF-BDCI-Automotive-Field-ASC-2018 171 | 172 | 39. 2016 CCF-020优惠券使用预测 173 | Rank1: https://github.com/wepe/O2O-Coupon-Usage-Forecast 174 | 175 | 40. 2016 ccf-农产品价格预测 176 | Rank2: https://github.com/xing89qs/CCF_Product 177 | Rank35: https://github.com/wqlin/ccf-price-prediction 178 | 179 | 41. 2016 ccf-客户用电异常 180 | Rank4: https://github.com/AbnerYang/2016CCF-StateGrid 181 | 182 | 42. 2016 ccf-搜狗的用户画像比赛 183 | Rank1: https://github.com/hengchao0248/ccf2016_sougou 184 | Rank3: https://github.com/AbnerYang/2016CCF-SouGou 185 | Rank5: https://github.com/dhdsjy/2016_CCFsougou 186 | https://github.com/dhdsjy/2016_CCFsougou2 187 | https://github.com/prozhuchen/2016CCF-sougou 188 | https://github.com/coderSkyChen/2016CCF_BDCI_Sougou 189 | 190 | 43. 2016 ccf-联通的用户轨迹 191 | RankX: https://github.com/xuguanggen/2016CCF-unicom 192 | 193 | 44. 2016 ccf-Human or Robots 194 | Rank6: https://github.com/pickou/ccf_human_or_robot 195 | 196 | 45. 菜鸟-需求预测与分仓规划 197 | Rank6: https://github.com/wepe/CaiNiao-DemandForecast-StoragePlaning 198 | Rank10: https://github.com/xing89qs/TianChi_CaiNiao_Season2 199 | 200 | 46. (Kaggle)2018 Data Science Bow 201 | Rank1: https://www.kaggle.com/c/data-science-bowl-2018/discussion/54741 202 | Rank4: https://www.kaggle.com/c/data-science-bowl-2018/discussion/55118 & [Github](https://github.com/pdima/kaggle_2018_data_science_bowl_solution) 203 | 204 | 47. 2018对抗挑战优胜经验分享 205 | by snakers41: http://t.cn/RBMaq4y 206 | GitHub:http://t.cn/RBMlfBH 207 | 208 | 48. Galaxy Zoo challenge 209 | http://benanne.github.io/2014/04/05/galaxy-zoo.html 210 | 211 | 49. Kaggle Home Credit违约风险预测 212 | Rank1: http://t.cn/RFsoHgv 213 | 214 | 50. Kaggle 2017 Santa competition 215 | Rank54: https://github.com/bigzhao/MPI-Hungarian-method 216 | 217 | 51. Kaggle 2017 Porto Seguro’s Safe Driver Prediction 218 | Rank131: https://bigzhao.github.io/2017/12/18/kaggle-silver/ 219 | 220 | 52. 第三届阿里云安全算法挑战赛 221 | Rank1: https://github.com/poteman/Alibaba-3rd-Security-Algorithm-Challenge 222 | 223 | 53. 2018dc-新网银行杯 224 | Rank3：https://github.com/Smilexuhc/Xingwangbankcup-top3 225 | Rank4：https://github.com/TingNie/CreditForecast 226 | 227 | 54. 2018 AI Challenger 全球AI挑战赛 - 细粒度用户评论情感分析 228 | Rank1：https://github.com/chenghuige/wenzheng 229 | Rank16：https://github.com/xueyouluo/fsauor2018 230 | Rank17: https://github.com/BigHeartC/Al_challenger_2018_sentiment_analysis 231 | 232 | 55. 第二届 “智慧中国杯” 数据科学大赛，首发皇包车（HI GUIDES）精品旅行服务成单预测竞赛 233 | Rank4: https://github.com/SunnyMarkLiu/Datacastle_Travel_Services_Predict 234 | Rank?: https://github.com/zlxy9892/DC_hbc 235 | 236 | 56. 2018 ATEC 蚂蚁金服NLP智能客服比赛 237 | Rank16：https://github.com/zle1992/atec 238 | 239 | 57. 2018 ATEC 蚂蚁金服NLP蚂蚁金服金融大脑赛题 240 | Rank18：https://github.com/ziweipolaris/atec2018-nlp 241 | 242 | 58. DataCastle-城市治理大数据应用创意方案赛 243 | Rank1: https://github.com/poteman/DataCastle-Urban-governance-competition 244 | 245 | 59. Kaggle - Crowdflower Search Results Relevance 246 | Rank1: https://github.com/ChenglongChen/Kaggle_CrowdFlower 247 | 248 | 60. 第三届融360天机智能金融算法挑战赛 - 特征挖掘 249 | Rank1: https://github.com/xSupervisedLearning/Rong360_feature_mining_1st_solution 250 | 251 | 61. 2017 摩拜杯算法挑战赛 252 | Rank3: https://github.com/Magic-Bubble/Mobike 253 | 254 | 62. DataFountain - 招商银行信用卡中心 消费金融场景下的用户购买预测 255 | Rank1: https://github.com/sunwantong/China-Merchants-Bank-credit-card-Cente-User-purchase-forecast 256 | 257 | 63. 天池糖尿病血糖预测比赛 精准医疗 258 | Rank24: https://github.com/xingyuezhiji/Diabetes 259 | 260 | 261 | 64. 第一届西安交通大学人工智能实践大赛（2018AI实践大赛--图片文字识别） 262 | Rank1: https://github.com/yinchangchang/ocr_densenet 263 | 264 | 265 | 65. 2019 KaggleDays Paris offline competition（Kaggle产品销售额预测比赛优胜方案） 266 | Rank1: https://github.com/mxbi/kaggledays-paris 267 | 268 | 66. 2019 Kaggle Freesound Audio Tagging 269 | Rank1: https://github.com/qrfaction/1st-Freesound-Audio-Tagging-2019 270 | 271 | 272 | 67. Kaggle iMaterialist (Fashion) 2019 at FGVC6 273 | Rank1: https://github.com/amirassov/kaggle-imaterialist 274 | 275 | 276 | ## 二、NLP： 277 | 278 | 1. 2018 DC达观-文本智能处理挑战 279 | Rank1: https://github.com/ShawnyXiao/2018-DC-DataGrand-TextIntelProcess 280 | Rank2：https://github.com/CortexFoundation/- 281 | Rank4: https://github.com/hecongqing/2018-daguan-competition 282 | Rank8：https://github.com/Rowchen/Text-classifier 283 | Rank10: https://github.com/moneyDboat/data_grand 284 | Rank11：https://github.com/TianyuZhuuu/DaGuan_TextClassification_Rank11 285 | Rank18: https://github.com/nlpjoe/daguan-classify-2018 286 | RankX: https://github.com/yanqiangmiffy/daguan 287 | 288 | 2. 智能客服问题相似度算法设计——第三届魔镜杯大赛 289 | rank6 https://github.com/qrfaction/paipaidai 290 | rank12 https://www.jianshu.com/p/827dd447daf9 291 | https://github.com/LittletreeZou/Question-Pairs-Matching 292 | Rank16：https://github.com/guoday/PaiPaiDai2018_rank16 293 | Rank29: https://github.com/wangjiaxin24/daguan_NLP 294 | 295 | 3. 2018JD Dialog Challenge 任务导向型对话系统挑战赛 296 | Rank2: https://github.com/Dikea/Dialog-System-with-Task-Retrieval-and-Seq2seq 297 | Rank3: https://github.com/zengbin93/jddc_solution_4th 298 | 299 | 4. 2018CIKM AnalytiCup – 阿里小蜜机器人跨语言短文本匹配算法竞赛 300 | Rank2: https://github.com/zake7749/Closer 301 | Rank12：https://github.com/Leputa/CIKM-AnalytiCup-2018 302 | Rank18: https://github.com/VincentChen525/Tianchi/tree/master/CIKM%20AnalytiCup%202018 303 | 304 | 5. 路透社新闻数据集“深度”探索性分析(词向量/情感分析) 305 | https://www.kaggle.com/hoonkeng/deep-eda-word-embeddings-sentiment-analysis/notebook 306 | 307 | 6. “神策杯”2018高校算法大师赛(关键词提取) 308 | Rank1: http://www.dcjingsai.com/common/bbs/topicDetails.html?tid=2382 309 | Rank2: https://github.com/bigzhao/Keyword_Extraction 310 | Rank5: https://github.com/Dikea/ShenceCup.extract_keywords 311 | 7. 知乎看山杯： 312 | Rank1：https://github.com/chenyuntc/PyTorchText 313 | Rank2：https://github.com/Magic-Bubble/Zhihu 314 | Rank6：https://github.com/yongyehuang/zhihu-text-classification 315 | Rank9：https://github.com/coderSkyChen/zhihu_kanshan_cup_2017 316 | Rank21：https://github.com/zhaoyu87/zhihu 317 | 318 | 8. 2018 CCL 客服领域用户意图分类评测 319 | Rank1：https://github.com/nlpjoe/2018-CCL-UIIMCS 320 | 321 | 9. 第二届搜狐内容识别大赛 322 | Rank1：https://github.com/zhanzecheng/SOHU_competition 323 | 324 | 10. 科赛 - 百度 PaddlePaddle AI 大赛——智能问答 325 | Rank3：https://github.com/312shan/rc_tf 326 | 327 | 11. 2018 kaggle quora insincere questions classification 328 | Rank1: https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80568 329 | Rank13: https://mp.weixin.qq.com/s/DD-BOtPbGCXvxfFxL-qOgg 330 | Rank153: https://github.com/jetou/kaggle-qiqc 331 | 332 | ### 三、CV： 333 | 1. Kaggle-TGS 334 | Rank1: http://t.cn/EzkDlOC 335 | Rank4: http://t.cn/EzuvemA 336 | http://t.cn/EzuPvfp 337 | Rank9: http://t.cn/EznzvYv 338 | Rank11:https://github.com/iasawseen/Kaggle-TGS-salt-solution 339 | Rank15:https://github.com/adam9500370/Kaggle-TGS 340 | Rank22: http://t.cn/EzYkR6i 341 | Rank56 https://github.com/Gary-Deeplearning/TGS-Salt 342 | 343 | 2. Kaggle Google地标检索 344 | Rank1: http://t.cn/R1i7Xiy 345 | Rank14： http://t.cn/R1nQriY 346 | 347 | 3. Lyft感知挑战赛 348 | 赛题： http://t.cn/RBtrJcE 349 | Rank4： http://t.cn/RBtrMdw 350 | http://t.cn/RBJnlug 351 | 352 | 4. (Kaggle)CVPR 2018 WAD视频分割 353 | Rank2: http://t.cn/Ehp4Ggm 354 | 355 | 5. Kaggle Google AI Open Images 356 | Rank15: http://t.cn/RF1jnis 357 | 358 | 6. Quick, Draw! Kaggle Competition Starter Pack 359 | http://t.cn/EZAoZDM 360 | 361 | 7. Kaggle植物幼苗图像分类挑战赛 362 | Rank1: http://t.cn/RBssjf6 363 | 364 | 8. Kaggle Airbus Ship Detection Challenge (Kaggle卫星图像船舶检测比赛) 365 | Rank8: https://github.com/SeuTao/Kaggle_Airbus2018_8th_code 366 | Rank21: https://github.com/pascal1129/kaggle_airbus_ship_detection 367 | 368 | 9. kaggle RSNA Pneumonia Detection 369 | Rank1: https://github.com/i-pan/kaggle-rsna18 370 | Rank2: https://github.com/SeuTao/Kaggle_TGS2018_4th_solution 371 | Rank3: https://github.com/pmcheng/rsna-pneumonia 372 | Rank6: https://github.com/pfnet-research/pfneumonia 373 | Rank10: https://github.com/alessonscap/rsna-challenge-2018 374 | 375 | 10. Kaggle PLAsTiCC Astronomical Classification Competition（PLAsTiCC 天文分类比赛） 376 | Rank1: https://www.kaggle.com/c/PLAsTiCC-2018/discussion/75033 377 | Rank2: https://www.kaggle.com/c/PLAsTiCC-2018/discussion/75059 378 | 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 379 | Rank4: https://github.com/aerdem4/kaggle-plasticc 380 | Rank5: https://www.kaggle.com/c/PLAsTiCC-2018/discussion/75040 381 | 382 | 11. Kaggle Human Protein Atlas Image Classification Challenge（Kaggle 人类蛋白质图谱图像分类比赛） 383 | Rank3: https://github.com/pudae/kaggle-hpa 384 | 385 | 12. SpaceNet Challenge Round 4: Off-Nadir Buildings（SpaceNet挑战卫星图片建筑物识别） 386 | Rank*: https://github.com/SpaceNetChallenge/SpaceNet_Off_Nadir_Solutions 387 | 388 | 13. Kaggle Humpback Whale Identification Challenge（Kaggle座头鲸识别比赛） 389 | Rank1: https://github.com/earhian/Humpback-Whale-Identification-1st- 390 | Rank7: https://medium.com/@ducha.aiki/thanks-radek-7th-place-solution-to-hwi-2019-competition-738624e4c885 391 | 392 | 393 | 394 | 395 | ### 四、大佬的Github： 396 | 1. 植物 ：https://github.com/plantsgo 397 | 2. wepon ：https://github.com/wepe 398 | 3. Snake：https://github.com/luoda888 399 | 4. Drop-out：https://github.com/drop-out 400 | 5. 金老师的知乎：https://zhuanlan.zhihu.com/jlbookworm 401 | 6. 渣大：https://github.com/nzc 402 | 7. 郭大：https://github.com/guoday 403 | 8. Cortex Lab：https://github.com/CortexFoundation 404 | 405 | ### 五、资源整理： 406 | * 数据比赛资讯：https://github.com/iphysresearch/DataSciComp 407 | * ApacheCN 的kaggle资料链接：https://github.com/apachecn/kaggle 408 | * Kaggle top方案整理：https://github.com/EliotAndres/kaggle-past-solutions 409 | * 介绍featexp 一个帮助理解特征的工具包 http://www.sohu.com/a/273552971_129720 410 | * Ask Me Anything session with a Kaggle Grandmaster Vladimir I. Iglovikov PDF：https://pan.baidu.com/s/1XkFwko_YrI5TfjjIai7ONQ 411 | * Owen Zhang访谈：Kaggle制胜的秘密 http://t.cn/RBzPcyg 412 | * How to Compete for Zillow Prize at Kaggle https://www.datasciencecentral.com/profiles/blogs/how-to-compete-for-zillow-prize-at-kaggle 413 | * 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/ 414 | * Kaggle数据科学词汇表 http://t.cn/Rdx72Cn 415 | * Kaggle比赛优胜方案汇总 http://t.cn/Rdkj3Co 416 | * Kaggle比赛实战教程(Pandas, Matplotlib, XGBoost/Colab) http://t.cn/ReIJOX0 417 | http://t.cn/ReIJOXK 418 | * Kaggle看照片猜相机比赛心得分享 http://t.cn/Rkz5Q9y pdf:http://t.cn/Rkz5Q9L 419 | * Kaggle在线分类广告需求预测比赛优胜方案分享 http://t.cn/RFpQg9O 420 | * Kaggle | Winner Interview http://blog.kaggle.com/2018/09/14/pei-lien-chou/ 421 | * Ask Me Anything session with a Kaggle Grandmaster Vladimir I. Iglovikov http://t.cn/Eww4nnu 422 | * 2018 NIPS视觉对抗挑战总结 http://t.cn/EAMqw0P 423 | 424 | ### 六、数据集： 425 | 【开放数据集大列表】《Open Datasets | Skymind》 http://t.cn/RFAoweW 426 | 427 | 【数据集搜索引擎：Google启动新搜索引擎帮助科学家找到需要的数据集】http://t.cn/RsAHucP 428 | https://www.blog.google/products/search/making-it-easier-discover-datasets/ 429 | Dataset Search:http://t.cn/RsAHuch 430 | 431 | 【fast.ai开放数据集】“fast.ai Datasets” http://t.cn/Ezzp51m ref:《The new fast.ai research datasets collection, on AWS Open Data》 http://t.cn/EzzpXQ5 种子来了 http://t.cn/EzA7XpZ 432 | 433 | 【计算机视觉“小众”数据集集锦】《Rare Datasets for Computer Vision Every Machine Learning Expert Must Work With》 http://t.cn/EZE9Vb7 434 | 435 | 436 | **PS：** 437 | 特别感谢金老师对整理比赛开源已做出的贡献,特别是在2016年的ccf大赛中 438 | 团队联系方式： 439 | Smile qq:240485545 Email:smile.xuhc@gmail.com 440 | PUSH qq:1471386635 Email:1471386635@qq.com 441 | dive2space qq: 1124361357 Email:dive2space@qq.com 442 | Jean_V qq:2398963799 Email:jianwu925@qq.com 443 | 444 | --------------------------------------------------------------------------------