## 🍉机器学习实战
🌾这个仓库只放代码，代码中有全面的注释以及说明
- :art:BaseCode，存放一些Numpy，Pandas等常用代码
- :building_construction:ML01，Kaggle案例，洛杉矶房价预测代码
- :chart_with_upwards_trend:ML02，Kaggle案例，广告点击预测代码
- :package:Ebay在线拍卖数据分析
Ebay在线拍卖数据分析
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2024-05-01
16:45:58
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Ebay在线拍卖数据分析 （193个子文件） 
xgb_ads.conf 1KB train.cpp 5KB train.cpp 5KB train.cpp 5KB common.cpp 3KB common.cpp 3KB common.cpp 2KB timer.cpp 602B timer.cpp 602B timer.cpp 602B TrainingSet.csv 46.59MB TrainingSubset.csv 15.31MB train_small.csv 14.74MB TestSet.csv 6.72MB TestSubset.csv 1.8MB train.csv 595KB va.rx.csv 453KB tr.rx.csv 453KB train.csv 450KB test.csv 441KB 20190520_test.csv 233KB out_model.csv 47KB sample_submission.csv 31KB 1.csv 1B data 11B data 11B data 11B data 11B data 11B data 11B data 11B data 11B data 11B data 11B data 11B data 11B data 11B data 11B data 11B data 11B common.h 6KB common.h 6KB common.h 6KB timer.h 232B timer.h 232B timer.h 232B click_through_rate_prediction_using_LR.ipynb 742KB Pyplot_Seaborn_cheatsheet.ipynb 589KB Code.ipynb 257KB House_Price.ipynb 193KB Spark-Criteo-CTR-Prediction.ipynb 182KB XGBoost_Tutorial.ipynd.ipynb 166KB House_Price_Advanced.ipynb 161KB Pandas_CheatSheet.ipynb 77KB avazu_ctr_predictor.ipynb 29KB Numpy_CheatSheet.ipynb 14KB Emotion_classification.ipynb 14KB Makefile 335B Makefile 333B Makefile 333B mark 10B mark 10B mark 10B mark 10B mark 10B mark 10B mark 10B mark 10B mark 10B mark 10B mark 10B mark 10B mark 10B mark 10B mark 10B mark 10B README.md 350B READ.me 719B
AvazuModelDocumentation.pdf 192KB utils.py 16KB _1_encode_cat_features.py 8KB _3c_vw.py 6KB group6.py 6KB generate_train_feature_mapper.py 6KB gendata.py 4KB subset.py 4KB gen_data.py 3KB _2c_generate_fm_features.py 3KB _3d_fm.py 3KB common.py 3KB common.py 3KB _3a_rf.py 3KB _2b_generate_dataset_for_vw_fm.py 3KB 6.py 3KB _4_post_processing.py 3KB common.py 2KB cvt.py 2KB cvt.py 2KB cvt.py 2KB cvt.py 2KB共 193 条
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