【文件属性】：
文件名称：Machine-Learning-Projects:我的机器学习项目
文件大小：19.64MB
文件格式：ZIP
更新时间：2021-03-30 19:18:31
JupyterNotebook
机器学习项目
我的机器学习项目
【文件预览】：
Machine-Learning-Projects-master
----Retention Analysis()
--------hr_data.csv(498KB)
--------employee_satisfaction_evaluation.xlsx(260KB)
--------Employee Retention Prediction.ipynb(110KB)
----LightFM Movie Recommendation()
--------LightFM - Movie Recommendation.ipynb(6KB)
----Spam Mail Detection()
--------emails.csv(8.54MB)
--------spam_mail.ipynb(9KB)
----README.md(57B)
----Insurance Premium Detection()
--------Insurance Premium Prediction.ipynb(450KB)
--------insurance.csv(55KB)
----Forecasting Brent Oil Prices()
--------Forecasting Brent Oil Prices.ipynb(609KB)
--------brent_oil_prices.csv(176KB)
----Time Series Forecasting for Sales()
--------Time Series Forecasting for Sales.ipynb(746KB)
----Marketing Analytics - Ad Performance()
--------Ad Engagement Prediction.ipynb(146KB)
--------bank-full.csv(3.58MB)
----Iris()
--------heatmap.png(16KB)
--------Iris.csv(5KB)
--------iris.py(6KB)
--------knn.png(22KB)
--------data_vis_2.png(17KB)
--------iris.ipynb(215KB)
--------data_vis_3.png(60KB)
--------data_vis_1.png(16KB)
----From Stratch - Naive Bayes()
--------From Stratch - Naive Bayes.ipynb(12KB)
----From Stratch - Decision Tree()
--------From Strach - Decision Tree.ipynb(12KB)
----From Stratch - Linear Regression()
--------sample_data.csv(3KB)
--------Linear Regression.ipynb(25KB)
----Sentiment Analysis - Airline Tweets()
--------Sentiment Analysis - Airline Tweets.ipynb(71KB)
--------Tweets.csv(3.28MB)
----Titanic()
--------test.csv(28KB)
--------train.csv(60KB)
--------Titanic.ipynb(141KB)
--------titanic.py(9KB)
----Business Analytics()
--------Business Analytics - Ch2 - Customer Segmentation.ipynb(158KB)
--------Business Analytics - Ch3 - Customer Lifetime Value.ipynb(123KB)
--------Business Analytics - Ch1 - Introduction.ipynb(258KB)
----Basic Recommendation Systems()
--------User Based Collaborative Recommendation System - E-Commerce Site.ipynb(63KB)
--------Item Based Collaborative Recommendation System - E-Commerce Site.ipynb(42KB)
----Target Group Detection()
--------Target Group for Donations.ipynb(65KB)
--------adult_data.csv(3.67MB)
----Basic Item Based Recommender System()
--------ml-100k()
--------basic_item_based_recommender_system.ipynb(59KB)
----Predicting AirBnB Prices()
--------Predicting AirBnB Prices.ipynb(419KB)
----From Stratch - Logistic Regression()
--------From Stratch - Logistic Regression.ipynb(61KB)
----Health Care Analytics - Diabetes Prediction()
--------diabetes()
--------Health Care Analytics - Diabetes Prediction.ipynb(195KB)
----Spam Detection()
--------Spam Detection.ipynb(25KB)
--------spam.csv(473KB)