FreeCoursesOnline Me Pluralsight Creating Machine Learning Models

FreeCoursesOnline Me Pluralsight Creating Machine Learning Models

Name	[FreeCoursesOnline.Me] Pluralsight - Creating Machine Learning Models	DOWNLOAD Copy Link
Total Size	409.9 MB
Total Files	48
Last Seen	2024-07-22 23:54
Hash	85A166D9DDE8BD9D31FAF588AF0CF89A0E110FC3

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/01.Course Overview/
01.01.Course Overview.mp4	10.4 MB
/02.Understanding Approaches to Machine Learning/
02.01.Module Overview.mp4	6.8 MB
02.02.Prerequisites and Course Outline.mp4	5.0 MB
02.03.Rule-based vs. ML-based Learning.mp4	14.2 MB
02.04.Traditional ML vs. Representation ML.mp4	7.3 MB
02.05.The Machine Learning Workflow.mp4	6.3 MB
02.06.Choosing the Right Model Based on Data.mp4	11.0 MB
02.07.Supervised vs. Unsupervised Learning.mp4	9.7 MB
02.08.Transfer Learning, Cold Start ML and Warm Start ML.mp4	10.6 MB
02.09.Popular Machine Learning Frameworks.mp4	6.8 MB
02.10.Demo Getting Started with scikit-learn.mp4	4.6 MB
02.11.Module Summary.mp4	2.8 MB
/03.Understanding and Implementing Regression Models/
03.01.Module Overview.mp4	2.5 MB
03.02.Building and Evaluating Regression Models.mp4	9.8 MB
03.03.Demo Linear Regression Using Numeric Features.mp4	18.5 MB
03.04.Demo Exploring Regression Data.mp4	10.1 MB
03.05.Demo Preprocessing Numeric and Categorical Data and Fitting a Regression Model.mp4	11.0 MB
03.06.Choosing Regression Algorithms.mp4	5.2 MB
03.07.Regularized Regression Models Lasso, Ridge, and Elastic Net.mp4	7.7 MB
03.08.Stochastic Gradient Descent.mp4	4.6 MB
03.09.Demo Multiple Types of Regression.mp4	12.6 MB
03.10.Module Summary.mp4	2.7 MB
/04.Understanding and Implementing Classification Models/
04.01.Module Overview.mp4	2.4 MB
04.02.Types of Classifiers.mp4	8.3 MB
04.03.Understanding Logistic Regression Intuitively.mp4	10.4 MB
04.04.Demo Building and Training a Binary Classification Model.mp4	14.4 MB
04.05.Understanding Support Vector and Nearest Neighbors Classification.mp4	7.9 MB
04.06.Understanding Decision Tree and Naive Bayes Classification.mp4	10.4 MB
04.07.Demo Building Classification Models Using Multiple Techniques.mp4	16.2 MB
04.08.Demo Using Warm Start with an Ensemble Classifier.mp4	6.9 MB
04.09.Demo Performing Multiclass Classification on Text Data.mp4	15.6 MB
04.10.Module Summary.mp4	2.1 MB
/05.Understanding and Implementing Clustering Model/
05.01.Module Overview.mp4	2.3 MB
05.02.Clustering as an Unsupervised Learning Technique.mp4	7.9 MB
05.03.Choosing Clustering Algorithms.mp4	7.7 MB
05.04.Categorizing Clustering Algorithms.mp4	6.0 MB
05.05.K-means Clustering.mp4	5.3 MB
05.06.Hierarchical Clustering.mp4	7.2 MB
05.07.Demo Performing K-means Clustering on Unlabeled Data.mp4	12.4 MB
05.08.Demo Clustering Using Labeled Data.mp4	19.1 MB
05.09.Demo Agglomerative Clustering.mp4	51.6 MB
05.10.Summary and Further Study.mp4	6.9 MB
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Exercise_file.zip	8.5 MB
Total files 48