Kaggle实战班

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📂 资源目录43 个文件夹102 个文件合计 19.1GB全部展开 | 全部收起

📁AA_0178——Kaggle实战班42 个文件夹 · 102 个文件

▶📁 七月kaggle40 个文件夹 · 95 个文件

▶📁 代码31 个文件夹 · 67 个文件

▶📁 lecture018 个文件夹 · 14 个文件

▶📁 Feature_engineering_and_model_tuning7 个文件夹 · 11 个文件

▶📁 Feature-engineering_and_Parameter_Tuning_XGBoost1 个文件夹 · 6 个文件

▶📁 .ipynb_checkpoints

📄Feature Engineering.ipynb111.6KB

📄Test.csv5.1MB

📄test_modified.csv7.2MB

📄Train.csv12.1MB

📄train_modified.csv16.9MB

📄XGBoost models tuning.ipynb172.1KB

▶📁 Kaggle-Bicycle-Example2 个文件夹 · 2 个文件

▶📁 .ipynb_checkpoints

▶📁 Kaggle_Bicycle_Example_files

📄Kaggle_Bicycle_Example.ipynb1.2MB

📄kaggle_bike_competition_train.csv633.2KB

▶📁 Kaggle_Titanic1 个文件夹 · 3 个文件

▶📁 .ipynb_checkpoints

📄test.csv28.0KB

📄Titanic.ipynb494.8KB

📄train.csv59.8KB

📄blending.py3.6KB

📄cs228-python-tutorial.ipynb119.4KB

📄Feature_engineering_and_model_tuning.zip8.3MB

▶📁 lecture0210 个文件夹 · 13 个文件

▶📁 house price4 个文件夹 · 8 个文件

▶📁 _ipynb_checkpoints

▶📁 input3 个文件

📄sample_submission.csv31.2KB

📄test.csv440.8KB

📄train.csv449.9KB

▶📁 notebook1 个文件夹 · 4 个文件

▶📁 .ipynb_checkpoints

📄house_price.html338.3KB

📄house_price.ipynb86.6KB

📄house_price_advanced.html389.1KB

📄house_price_advanced.ipynb132.3KB

📄data_description.txt13.1KB

▶📁 news stock4 个文件夹 · 5 个文件

▶📁 _ipynb_checkpoints

▶📁 input3 个文件

📄Combined_News_DJIA.csv5.4MB

📄DJIA_table.csv163.2KB

📄RedditNews.csv8.7MB

▶📁 notebook1 个文件夹 · 2 个文件

▶📁 .ipynb_checkpoints

📄news_stock.html295.7KB

📄news_stock.ipynb38.4KB

▶📁 lecture0312 个文件

📄avazu-CTR-Prediction-LR.zip3.0MB

📄feature.search1016B

📄feature.search_ads727B

📄feature_map.search_ads1.2KB

📄generate_train_feature_mapper.py5.7KB

📄generate_train_feature_reducer.py1.3KB

📄kaggle-avazu-rank1.zip260.6KB

📄kaggle-avazu-rank2.zip205.7KB

📄park-Criteo-CTR-Prediction.ipynb181.6KB

📄search_ads_feature.sample51.1KB

📄search_click_data.sample240.4KB

📄xgb_ads.conf1.3KB

▶📁 lecture043 个文件夹 · 8 个文件

▶📁 input数据太大。就不传了。自己下载吧~ - 老师留

▶📁 notebook1 个文件夹 · 8 个文件

▶📁 .ipynb_checkpoints2 个文件

📄search relevance-checkpoint.ipynb44.9KB

📄search relevance_advanced-checkpoint.ipynb74.9KB

📄news_stock.html295.7KB

📄news_stock_advanced.html893.8KB

📄search relevance.ipynb44.9KB

📄search relevance_advanced.ipynb75.3KB

📄search+relevance.html303.9KB

📄search+relevance_advanced.html348.1KB

▶📁 lecture052 个文件

📄energy_forecasting_notebooks.zip9.4MB

📄subway_prediction_notebook.zip1.8MB

▶📁 lecture062 个文件夹 · 13 个文件

▶📁 img2 个文件

📄chi_square.png15.3KB

📄RGBHistogram .jpg87.9KB

▶📁 猫狗的数据4 个文件

📄cats-vs-dogs.txt381B

📄sample_submission.csv111.2KB

📄test.zip271.3MB

📄train.zip543.5MB

📄cat_dog.html303.8KB

📄char_rnn.html268.5KB

📄image_search .html262.2KB

📄Kaggle第06课：走起~深度学习.pdf4.5MB

📄Kaggle第06课：走起~深度学习.pptx3.8MB

📄news_stock_advanced.html893.8KB

📄word_rnn.html280.5KB

▶📁 lecture074 个文件

📄data.zip7.0MB

📄Kaggle event recommendation competition.ipynb40.4KB

📄kaggle-event-recommendation-rank1.zip21.1KB

📄Rossmanntoreales_competition.ipynb50.7KB

▶📁 lecture081 个文件

📄PPD_RiskControl_Competition.zip39.2MB

▶📁 课件7 个文件夹 · 20 个文件

▶📁 lecture012 个文件

📄分享的链接【】.txt313B

📄Kaggle第01课：机器学习算法、工具与流程概述【】【】.pdf5.9MB

▶📁 lecture021 个文件

📄Kaggle第02课：经济金融相关问题【】【】.pdf5.7MB

▶📁 lecture039 个文件

📄阿里妈妈：大数据下的广告排序技术及实践【】【】.pdf843.0KB

📄百度凤巢：DNN在凤巢CTR预估中的应用【】 .pdf1.3MB

📄从FM到FFM【】.pdf982.7KB

📄第3课--排序与CTR预估【】【】.pdf2.2MB

📄京东电商广告和推荐系统的机器学习系统实践.pdf4.1MB

📄kaggle-2014-criteo【】.pdf133.4KB

📄kaggle-avazu【】【】.pdf180.8KB

📄predicting-clicks-facebook【】【】.pdf773.9KB

📄腾讯广点通：效果广告中的机器学习技术【】【】.pdf1.6MB

▶📁 lecture041 个文件

📄Kaggle第四课【】【】.pdf1.8MB

▶📁 lecture051 个文件

📄第5课：能源预测与分配问题【】.pdf8.3MB

▶📁 lecture071 个文件

📄第7课：推荐与销量预测相关问题【】【】.pdf1.1MB

▶📁 lecture082 个文件

📄第8课：金融风控问题【】【】.pdf1.6MB

📄金融风控大赛解决方案【】.pdf824.9KB

📄Kaggle第05课：能源预测与分配问题【】【】.pdf8.3MB

📄Kaggle第06课：走起~深度学习【】.pdf4.5MB

📄Kaggle第06课：走起~深度学习【】【】.pptx3.8MB

📄1.机器学习解决问题综述课 .mp42.2GB

📄第03课_kaggle案例实战班.mp4576.2MB

📄第04课_kaggle案例实战班.mp4575.2MB

📄第05课_kaggle案例实战班.mp4742.6MB

📄第06课_kaggle案例实战班.mp4188.9MB

📄第07课_kaggle案例实战班.mp4521.8MB

📄第08课_kaggle案例实战班.mp4331.5MB

📄第二节.mp41.5GB

▶📁 july七月Kaggle7 个文件

📄04.树.mp41.4GB

📄05.链表递归栈.mp41.5GB

📄06.查找排序.mp41.7GB

📄07.图论（上）.mp41.5GB

📄08.图论下.mp41.5GB

📄09.贪心法和动态规划.mp42.6GB

📄10.概率分治和机器学习.mp41.5GB

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