real_estate_machine_learning：使用机器学习为布达佩斯的房地产市场建模
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2021-02-04
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real_estate_machine_learning-master.zip （49个子文件） 
real_estate_machine_learning-master 
.gitignore 96B data raw 
public_domains_2015_09_07.txt 2KB colors_23 2KB img 
class_test.png 876KB relationships.png 605KB normalization.png 27KB outliers.png 251KB svr_model_50.png 244KB address_cleaning.png 785KB sigma_records_to_be_removed.png 34KB neigh_model_55.png 259KB budapest.png 1000KB histograms_bins_100.png 54KB tree_model_51.png 227KB grad_model_56.png 264KB svr_model_44.png 248KB forest_model_58.png 239KB missing_values_ratio_by_features.png 102KB scatter_map.png 975KB dist_features.png 102KB lin_model_16.png 283KB ada_model_47.png 241KB poly_model_27.png 281KB model ada_model_47.pkl 1.04MB svr_model_50.pkl 635KB neigh_model_55.pkl 3.21MB poly_model_27.pkl 7KB tree_model_51.pkl 89KB forest_model_58.pkl 3.87MB neigh_cls_98.pkl 688KB svr_model_44.pkl 644KB grad_model_56.pkl 3.21MB src visualization.py 14KB __init__.py 0B preparation.py 5KB utils.py 2KB processing.py 5KB osm boundaries_osm_query.txt 583B uninhabited_osm_query.txt 2KB agglomeration_osm_query.txt 45KB README.md 19KB notebook Preparation.ipynb 33KB Sale Regression.ipynb 4.41MB Deep Learning.ipynb 91KB Exploration and cleaning for Regression.ipynb 11.29MB Processing, exploration and cleaning for Classification.ipynb 3.48MB Processing.ipynb 54KB poc ml_model.ipynb 10.73MB Classification.ipynb 2.52MB资源评论
