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  • TA的每日心情
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    2024-9-19 21:14
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    [LV.10]以坛为家III

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    发表于 2021-6-2 04:20:40 | 只看该作者 回帖奖励 |倒序浏览 |阅读模式

    资源详情


    ├第01课.机器学习解决问题综述课.mp4
    ├第03课_kaggle案例实战班.mp4
    ├第04课_kaggle案例实战班.mp4
    ├第05课_kaggle案例实战班.mp4
    ├第06课_kaggle案例实战班.mp4
    ├第07课_kaggle案例实战班.mp4
    ├第08课_kaggle案例实战班.mp4
    ├第二节.mp4

    │├
    ││├blending.py
    ││├cs228-python-tutorial.ipynb
    ││├Feature_engineering_and_model_tuning.zip
    ││├
    │││├
    ││││├FeatureEngineering.ipynb
    ││││├Test.csv
    ││││├test_modified.csv
    ││││├Train.csv
    ││││├train_modified.csv
    ││││├XGBoostmodelstuning.ipynb
    ││││├
    │││││├FeatureEngineering-checkpoint.ipynb
    │││││└XGBoostmodelstuning-checkpoint.ipynb
    │││├
    ││││├test.csv
    ││││├Titanic.ipynb
    ││││├train.csv
    ││││├
    │││││└Titanic-checkpoint.ipynb
    │││├
    ││││├Kaggle_Bicycle_Example.ipynb
    ││││├kaggle_bike_competition_train.csv
    ││││├
    │││││└Kaggle_Bicycle_Example-checkpoint.ipynb
    ││││├
    │││││├Kaggle_Bicycle_Example_34_0.png
    │││││├Kaggle_Bicycle_Example_42_0.png
    │││││├Kaggle_Bicycle_Example_43_0.png
    │││││├Kaggle_Bicycle_Example_44_0.png
    │││││├Kaggle_Bicycle_Example_45_0.png
    │││││├Kaggle_Bicycle_Example_46_1.png
    │││││├Kaggle_Bicycle_Example_47_1.png
    │││││└Kaggle_Bicycle_Example_49_1.png
    │├
    ││├
    │││├data_description.txt
    │││├
    │││├
    ││││├sample_submission.csv
    ││││├test.csv
    ││││└train.csv
    │││├
    ││││├house_price.html
    ││││├house_price.ipynb
    ││││├house_price_advanced.html
    ││││├house_price_advanced.ipynb
    ││││├
    │││││├house_price_advanced-checkpoint.ipynb
    │││││└house_price-checkpoint.ipynb
    ││├
    │││├
    │││├
    ││││├Combined_News_DJIA.csv
    ││││├DJIA_table.csv
    ││││└RedditNews.csv
    │││├
    ││││├news_stock.html
    ││││├news_stock.ipynb
    ││││├
    │││││└news_stock-checkpoint.ipynb
    │├
    ││├A危azu-CTR-Prediction-LR.zip
    ││├feature.search
    ││├feature.search_ads
    ││├feature_map.search_ads
    ││├generate_train_feature_mapper.py
    ││├generate_train_feature_reducer.py
    ││├kaggle-A危azu-rank1.zip
    ││├kaggle-A危azu-rank2.zip
    ││├search_ads_feature.sample
    ││├search_click_data.sample
    ││├Spark-Criteo-CTR-Prediction.ipynb
    ││└xgb_ads.conf
    │├
    ││├
    ││├
    │││├news_stock.html
    │││├news_stock_advanced.html
    │││├searchrelevance.ipynb
    │││├searchrelevance_advanced.ipynb
    │││├search+relevance.html
    │││├search+relevance_advanced.html
    │││├
    ││││├searchrelevance_advanced-checkpoint.ipynb
    ││││└searchrelevance-checkpoint.ipynb
    │├
    ││├energy_forecasting_notebooks.zip
    ││└subway_prediction_notebook.zip
    │├
    ││├cat_dog.html
    ││├char_rnn.html
    ││├image_search.html
    ││├Kaggle第06课:走起~深度学习.pdf
    ││├Kaggle第06课:走起~深度学习.pptx
    ││├news_stock_advanced.html
    ││├word_rnn.html
    ││├
    │││├chi_square.png
    │││└RGBHistogram.jpg
    ││├
    │││├cats-vs-dogs.txt
    │││├sample_submission.csv
    │││├test.zip
    │││└train.zip
    │├
    ││├data.zip
    ││├Kaggleeventrecommendationcompetition.ipynb
    ││├kaggle-event-recommendation-rank1.zip
    ││└Rossmann_Store_Sales_competition.ipynb
    │├
    ││└PPD_RiskControl_Competition.zip

    │├Kaggle第05课:能源预测与分配问题.pdf
    │├Kaggle第06课:走起~深度学习.pdf
    │├Kaggle第06课:走起~深度学习.pptx
    │├
    ││├Kaggle第01课:机器学习算法、工具与流程概述.pdf
    ││└分享的链接.txt
    │├
    ││└Kaggle第02课:经济金融相关问题.pdf
    │├
    ││├kaggle-2014-criteo.pdf
    ││├kaggle-A危azu.pdf
    ││├predicting-clicks-facebook.pdf
    ││├阿里妈妈:大数据下的广告排序技术及实践.pdf
    ││├百度凤巢:DNN在凤巢CTR预估中的应用.pdf
    ││├从FM到FFM.pdf
    ││├第3课--排序与CTR预估.pdf
    ││├京东电商广告和推荐系统的机器学习系统实践.pdf
    ││└腾讯广点通:效果广告中的机器学习技术.pdf
    │├
    ││└Kaggle第四课.pdf
    │├
    ││└第5课:能源预测与分配问题.pdf
    │├
    ││└第7课:推荐与销量预测相关问题.pdf
    │├
    ││├第8课:金融风控问题.pdf
    ││└金融风控大赛解决方案.pdf


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