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[FreeCoursesOnline.Me] [Packt] Real-World Machine Learning Projects with Scikit-Learn - [FCO]

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种子名称: [FreeCoursesOnline.Me] [Packt] Real-World Machine Learning Projects with Scikit-Learn - [FCO]
文件类型: 视频
文件数目: 26个文件
文件大小: 498.04 MB
收录时间: 2019-10-30 19:50
已经下载: 3
资源热度: 168
最近下载: 2024-7-1 07:28

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[FreeCoursesOnline.Me] [Packt] Real-World Machine Learning Projects with Scikit-Learn - [FCO].torrent
  • 1.Predicting the Wine Quality Using Multiple Linear Regression/01.The Course Overview.mp411.24MB
  • 1.Predicting the Wine Quality Using Multiple Linear Regression/02.Exploring the Dataset and Identifying the Problem.mp48.81MB
  • 1.Predicting the Wine Quality Using Multiple Linear Regression/03.Multiple Linear Regression.mp412.55MB
  • 1.Predicting the Wine Quality Using Multiple Linear Regression/04.Implementing the Solution.mp442.13MB
  • 1.Predicting the Wine Quality Using Multiple Linear Regression/05.Evaluating and Improving the Model.mp438.82MB
  • 1.Predicting the Wine Quality Using Multiple Linear Regression/06.Analyzing the Results.mp412.63MB
  • 2.Bike Sharing Demand Prediction Using Regression Trees/07.Exploring the Dataset and Identifying the Problem.mp49.03MB
  • 2.Bike Sharing Demand Prediction Using Regression Trees/08.Decision Trees and Random Forest.mp416.45MB
  • 2.Bike Sharing Demand Prediction Using Regression Trees/09.Feature Analysis and Engineering.mp439.17MB
  • 2.Bike Sharing Demand Prediction Using Regression Trees/10.Implementing the Solution.mp424.35MB
  • 2.Bike Sharing Demand Prediction Using Regression Trees/11.Analyze the Results.mp415.24MB
  • 3.Heart Disease Predictions with Support Vector Machines/12.Exploring the Dataset and Identifying the Problem.mp46.74MB
  • 3.Heart Disease Predictions with Support Vector Machines/13.Support Vector Machines.mp412.05MB
  • 3.Heart Disease Predictions with Support Vector Machines/14.Feature Analysis and Engineering.mp427.53MB
  • 3.Heart Disease Predictions with Support Vector Machines/15.Implementing the Solution.mp429.6MB
  • 3.Heart Disease Predictions with Support Vector Machines/16.Analyze the Results.mp412.8MB
  • 4.Poker Hand Predictions with K-Means Clustering/17.Exploring the Dataset and Identifying the Problem.mp47.98MB
  • 4.Poker Hand Predictions with K-Means Clustering/18.K-Means Clustering.mp418.37MB
  • 4.Poker Hand Predictions with K-Means Clustering/19.Feature Analysis and Engineering.mp428.7MB
  • 4.Poker Hand Predictions with K-Means Clustering/20.Implementing the Solution.mp426.33MB
  • 4.Poker Hand Predictions with K-Means Clustering/21.Analyze the Results.mp421.62MB
  • 5.Understanding Buying Behavior Using Hierarchical Clustering/22.Exploring the Dataset and Identifying the Problem.mp45.8MB
  • 5.Understanding Buying Behavior Using Hierarchical Clustering/23.Hierarchical Clustering.mp412.23MB
  • 5.Understanding Buying Behavior Using Hierarchical Clustering/24.Feature Analysis and Engineering.mp421.59MB
  • 5.Understanding Buying Behavior Using Hierarchical Clustering/25.Implementing the Solution.mp421.77MB
  • 5.Understanding Buying Behavior Using Hierarchical Clustering/26.Analyze the Results.mp414.51MB