pythonmasterclass:Jose Portilla-乌迪米| 2021年机器学习和数据科学大师班Python
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2021-04-23
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pythonmasterclass:Jose Portilla-乌迪米| 2021年机器学习和数据科学大师班Python （311个子文件） 
00-Capstone-Project -checkpoint 1.03MB application_record.csv 51.83MB hotel_booking_data.csv 23.95MB players_20.csv 8.53MB moviereviews.csv 7.22MB bank-full.csv 4.95MB census_income_data.csv 3.91MB airline_tweets.csv 3.26MB diamonds.csv 2.5MB AMES_Final_DF.csv 1.71MB Ames_Housing_Data.csv 958KB Ames_outliers_removed.csv 957KB Telco-Customer-Churn.csv 954KB Ames_NO_Missing_Data.csv 931KB wine_fraud.csv 479KB sex_height_weight.csv 418KB credit_default_risk.csv 382KB mushrooms.csv 365KB winequality-white.csv 258KB pattern_test_results.csv 107KB hearing_test.csv 101KB sonar.all-data.csv 85KB winequality-red.csv 82KB StudentsPerformance.csv 70KB dm_office_sales.csv 58KB penguins_lter.csv 50KB data_banknote_authentication.csv 45KB CIA_Country_Facts.csv 33KB gene_expression.csv 32KB fandango_scrape.csv 18KB tips.csv 18KB tips.csv 18KB mpg.csv 17KB mpg.csv 17KB mouse_viral_study.csv 15KB penguins_size.csv 13KB rock_density_xray.csv 11KB heart.csv 11KB country_iso_codes.csv 8KB all_sites_scores.csv 7KB RetailSales_BeerWineLiquor.csv 5KB RetailSales_BeerWineLiquor.csv 5KB cement_slump.csv 4KB Advertising.csv 4KB Advertising.csv 4KB iris.csv 4KB Sales_Funnel_CRM.csv 1KB data-dictionary.csv 808B country_table.csv 453B movie_scores.csv 177B movie_scores.csv 177B ascombes_quartet2.csv 122B anscombes_quartet1.csv 121B anscombes_quartet2.csv 118B anscombes_quartet4.csv 116B example.csv 51B example.csv 51B new_file.csv 51B newfile.csv 46B
sample_table.html 1KB simple.html 555B 01-Sup-Learning-Capstone-Tree-Methods-SOLNs.ipynb 3.21MB 01-Sup-Learning-Capstone-Tree-Methods-SOLNs-checkpoint.ipynb 3.21MB 01-Random-Forest-Regression-checkpoint.ipynb 1.94MB 01-Random-Forest-Regression.ipynb 1.86MB 00-Kmeans-Clustering.ipynb 1.65MB 00-Kmeans-Clustering-checkpoint.ipynb 1.65MB 00-Scatter-Plots-checkpoint.ipynb 1.12MB 00-Scatter-Plots.ipynb 1.12MB 01-Kmeans-Color-Quantization.ipynb 1.09MB 01-Kmeans-Color-Quantization-checkpoint.ipynb 1.09MB 00-Decision-Trees-checkpoint.ipynb 1.09MB 00-Decision-Trees.ipynb 1.09MB 03-Categorical-Plots-Distributions-checkpoint.ipynb 1.05MB 03-Categorical-Plots-Distributions.ipynb 1.03MB 01-Capstone-Project-Solutions -checkpoint.ipynb 1.03MB 01-Capstone-Project-Solutions .ipynb 1.03MB 00-Capstone-Project.ipynb 1.03MB 00-Capstone-Project-checkpoint.ipynb 1.03MB 06-Additional-Matplotlib-Commands-NO_VIDEO-checkpoint.ipynb 836KB 06-Additional-Matplotlib-Commands-NO_VIDEO.ipynb 835KB 03-Kmeans-Clustering-Project-Solutions.ipynb 822KB 03-Kmeans-Clustering-Project-Solutions-checkpoint.ipynb 822KB 02-Kmeans-Clustering-Project-Exercise.ipynb 819KB 02-Kmeans-Clustering-Project-Exercise-checkpoint.ipynb 819KB 04-Comparison-Plots.ipynb 672KB 01-Distribution-Plots-checkpoint.ipynb 623KB 00-SVM-Classification.ipynb 594KB 00-SVM-Classification-checkpoint.ipynb 594KB 00-Series-checkpoint.ipynb 552KB 00-Series.ipynb 552KB 01-Distribution-Plots.ipynb 550KB 04-Comparison-Plots-checkpoint.ipynb 539KB 00-Random-Forest-Classification.ipynb 523KB 00-Random-Forest-Classification-checkpoint.ipynb 523KB 01-Linear-Regression-with-Scitkit-Learn.ipynb 522KB 01-Linear-Regression-with-Scitkit-Learn-checkpoint.ipynb 522KB 00-KNN-Classification.ipynb 429KB 00-KNN-Classification-checkpoint.ipynb 429KB 05-Seaborn-Grids.ipynb 408KB共 311 条
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