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[FreeCoursesOnline.Me] Pluralsight - Creating Machine Learning Models

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种子名称: [FreeCoursesOnline.Me] Pluralsight - Creating Machine Learning Models
文件类型: 视频
文件数目: 42个文件
文件大小: 382.77 MB
收录时间: 2020-11-26 02:52
已经下载: 3
资源热度: 156
最近下载: 2024-11-25 10:20

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[FreeCoursesOnline.Me] Pluralsight - Creating Machine Learning Models.torrent
  • 01.Course Overview/01.01.Course Overview.mp49.94MB
  • 02.Understanding Approaches to Machine Learning/02.01.Module Overview.mp46.51MB
  • 02.Understanding Approaches to Machine Learning/02.02.Prerequisites and Course Outline.mp44.79MB
  • 02.Understanding Approaches to Machine Learning/02.03.Rule-based vs. ML-based Learning.mp413.57MB
  • 02.Understanding Approaches to Machine Learning/02.04.Traditional ML vs. Representation ML.mp47MB
  • 02.Understanding Approaches to Machine Learning/02.05.The Machine Learning Workflow.mp46MB
  • 02.Understanding Approaches to Machine Learning/02.06.Choosing the Right Model Based on Data.mp410.49MB
  • 02.Understanding Approaches to Machine Learning/02.07.Supervised vs. Unsupervised Learning.mp49.26MB
  • 02.Understanding Approaches to Machine Learning/02.08.Transfer Learning, Cold Start ML and Warm Start ML.mp410.08MB
  • 02.Understanding Approaches to Machine Learning/02.09.Popular Machine Learning Frameworks.mp46.53MB
  • 02.Understanding Approaches to Machine Learning/02.10.Demo Getting Started with scikit-learn.mp44.35MB
  • 02.Understanding Approaches to Machine Learning/02.11.Module Summary.mp42.67MB
  • 03.Understanding and Implementing Regression Models/03.01.Module Overview.mp42.36MB
  • 03.Understanding and Implementing Regression Models/03.02.Building and Evaluating Regression Models.mp49.32MB
  • 03.Understanding and Implementing Regression Models/03.03.Demo Linear Regression Using Numeric Features.mp417.62MB
  • 03.Understanding and Implementing Regression Models/03.04.Demo Exploring Regression Data.mp49.68MB
  • 03.Understanding and Implementing Regression Models/03.05.Demo Preprocessing Numeric and Categorical Data and Fitting a Regression Model.mp410.47MB
  • 03.Understanding and Implementing Regression Models/03.06.Choosing Regression Algorithms.mp44.93MB
  • 03.Understanding and Implementing Regression Models/03.07.Regularized Regression Models Lasso, Ridge, and Elastic Net.mp47.37MB
  • 03.Understanding and Implementing Regression Models/03.08.Stochastic Gradient Descent.mp44.35MB
  • 03.Understanding and Implementing Regression Models/03.09.Demo Multiple Types of Regression.mp412.02MB
  • 03.Understanding and Implementing Regression Models/03.10.Module Summary.mp42.58MB
  • 04.Understanding and Implementing Classification Models/04.01.Module Overview.mp42.26MB
  • 04.Understanding and Implementing Classification Models/04.02.Types of Classifiers.mp47.96MB
  • 04.Understanding and Implementing Classification Models/04.03.Understanding Logistic Regression Intuitively.mp49.96MB
  • 04.Understanding and Implementing Classification Models/04.04.Demo Building and Training a Binary Classification Model.mp413.77MB
  • 04.Understanding and Implementing Classification Models/04.05.Understanding Support Vector and Nearest Neighbors Classification.mp47.49MB
  • 04.Understanding and Implementing Classification Models/04.06.Understanding Decision Tree and Naive Bayes Classification.mp49.93MB
  • 04.Understanding and Implementing Classification Models/04.07.Demo Building Classification Models Using Multiple Techniques.mp415.46MB
  • 04.Understanding and Implementing Classification Models/04.08.Demo Using Warm Start with an Ensemble Classifier.mp46.56MB
  • 04.Understanding and Implementing Classification Models/04.09.Demo Performing Multiclass Classification on Text Data.mp414.87MB
  • 04.Understanding and Implementing Classification Models/04.10.Module Summary.mp41.99MB
  • 05.Understanding and Implementing Clustering Model/05.01.Module Overview.mp42.21MB
  • 05.Understanding and Implementing Clustering Model/05.02.Clustering as an Unsupervised Learning Technique.mp47.56MB
  • 05.Understanding and Implementing Clustering Model/05.03.Choosing Clustering Algorithms.mp47.36MB
  • 05.Understanding and Implementing Clustering Model/05.04.Categorizing Clustering Algorithms.mp45.75MB
  • 05.Understanding and Implementing Clustering Model/05.05.K-means Clustering.mp45.01MB
  • 05.Understanding and Implementing Clustering Model/05.06.Hierarchical Clustering.mp46.84MB
  • 05.Understanding and Implementing Clustering Model/05.07.Demo Performing K-means Clustering on Unlabeled Data.mp411.85MB
  • 05.Understanding and Implementing Clustering Model/05.08.Demo Clustering Using Labeled Data.mp418.19MB
  • 05.Understanding and Implementing Clustering Model/05.09.Demo Agglomerative Clustering.mp449.22MB
  • 05.Understanding and Implementing Clustering Model/05.10.Summary and Further Study.mp46.62MB