# Machine-Learning-with-Python
Python codes for common Machine Learning Algorithms
机器学习_Python_算法代码_学习与实践_1741399417.zip （177个子文件） 
renfe_small.csv 2.53MB ratings.csv 2.37MB ratings.csv 2.33MB house_data.csv 1.81MB BankChurners.csv 1.15MB JNJ.csv 595KB HR.csv 553KB movies.csv 483KB movies.csv 448KB research_paper.csv 184KB AAPL.csv 183KB WMT.csv 181KB TSLA.csv 177KB dataset.csv 168KB Seattle_Hotels.csv 156KB Sales_Product_Price_by_Store.csv 134KB diabetes.csv 23KB 20070103-^NSEI.csv 21KB iris_train.csv 3KB beef.csv 2KB iris_test.csv 2KB Practical Statistics House Python_update.ipynb 12.02MB Building Recommender System with Surprise.ipynb 8.29MB bpr_OnlineRetail_TF.ipynb 7.67MB Seattle Hotels Recommender.ipynb 7.41MB PC Purchasing Profile.ipynb 7MB Calculating distance from POI to airports .ipynb 6.33MB Granger Causality Test.ipynb 5.73MB Timeseries anomaly detection using LSTM Autoencoder JNJ.ipynb 4.76MB Polo Towers OCC & ADR & Rental RevPar & Time Series.ipynb 4.23MB bpr_OnlineRetail_Implicit.ipynb 4.13MB Outbreaks_Headlines.ipynb 3.98MB Anes_2020.ipynb 2.63MB Supervised Learning - Part I.ipynb 2.5MB Supervised Learning - Part II.ipynb 2.19MB Ocean Two EDA and time series forecast 2016-01-01 to 2019-08-04.ipynb 2.19MB Ocean Sea Breeze EDA and Time Series forecast for Occupancy.ipynb 1.82MB Airbnb Listing Toronto.ipynb 1.56MB Unsupervised Learning.ipynb 1.55MB Bayesian Logistic Regression_bank marketing.ipynb 1.48MB Promotional Time Series .ipynb 1.36MB Bayesian Modeling Customer Support Response time.ipynb 1.29MB Bayesian Statistics Python_PyMC3_ArviZ.ipynb 1.19MB Autoencoder for Customer Churn.ipynb 1.18MB Evaluation.ipynb 1.02MB Multilevel regression with post-stratification_election2020.ipynb 1.01MB Time Series Forecastings.ipynb 1016KB Bayesian price Mercari with PyStan.ipynb 991KB Scikit-Survival.ipynb 944KB Ad Demand Forecast Avito.ipynb 903KB Anes_2019.ipynb 888KB Classifier Visualization.ipynb 864KB Compare Vaccines Effectiveness.ipynb 818KB Customer_Segmentation_Whosale.ipynb 804KB Propensity Modeling for Email Marketing Campaign.ipynb 780KB Points Modelling Exercise Part 1 Email Targeting List_Susan Li.ipynb 780KB Airbnb New User Bookings.ipynb 763KB Polo Towers Prophet .ipynb 760KB Trip Segmentation by User Search Behaviors.ipynb 757KB Regression Plots.ipynb 750KB Applying 10 Time Series Forecasting models with O2 data.ipynb 741KB LSTM Time Series Power Consumption.ipynb 671KB Click-Through Rate Prediction.ipynb 656KB Predict_Bay_Area_Home_Price.ipynb 654KB A Simple Classification.ipynb 636KB Time Series of Price Anomaly Detection Expedia.ipynb 601KB 05b_Exploring Indicator's Across Countries.ipynb 500KB Clustering Loyalty members.ipynb 498KB Pysurvival.ipynb 485KB Hotel Optimize Click-through.ipynb 462KB Airbnb New User Bookings_2.ipynb 455KB Predict hotel booking.ipynb 411KB TPOT Mercedes.ipynb 410KB Points Model Exercise Part 3 Member behavioral segments_Susan Li.ipynb 402KB scatter_plots.ipynb 380KB Anomaly_Detection_for_Dummies.ipynb 365KB Modeling House Price with Regularized Linear Model & Xgboost.ipynb 355KB Solving A Simple Classification Problem with Python.ipynb 325KB Zakka_Canada_CLV.ipynb 286KB Ease_of_Business.ipynb 286KB breast_cancer_predict.ipynb 278KB CLV_Non_Contractual.ipynb 270KB multiple_correspondence_analysis.ipynb 244KB Recursive least squares.ipynb 242KB Price Elasticity of Demand.ipynb 239KB Employee_Turnover.ipynb 237KB create_datasets.ipynb 232KB G7 Countries Real Residential Property Prices.ipynb 231KB Time Series ANN & LSTM VIX.ipynb 229KB CLV_Hopper.ipynb 220KB Introduction to Data Science in Python - Soccer Data Analysis.ipynb 207KB Logistic Regression in Python - Step by Step.ipynb 195KB Logistic Regression balanced.ipynb 192KB H2O Higgs Boson.ipynb 192KB Ocean Two Time series Gaussian Process Regression.ipynb 183KB Clustering Hotels with DBSCAN, k-means & Douglas-Peucker.ipynb 161KB CLV_Online_Retail.ipynb 160KB roomType_word2vec_logisticRegression.ipynb 159KB room_match_training_all_features.ipynb 159KB roomType_bow_tfidf_Xgboost.ipynb 159KB共 177 条
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