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[CourseClub.ME] Pluralsight - Creating Machine Learning Models
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[CourseClub.ME] Pluralsight - Creating Machine Learning Models
磁力链接/BT种子简介
种子哈希:
fa0a45c99a24c23580850fdc3a9ed225d60e47e0
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390.87M
已经下载:
6
次
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极快
收录时间:
2024-11-05
最近下载:
2024-11-05
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文件列表
05.Understanding and Implementing Clustering Model/05.09.Demo Agglomerative Clustering.mp4
51.6 MB
05.Understanding and Implementing Clustering Model/05.08.Demo Clustering Using Labeled Data.mp4
19.1 MB
03.Understanding and Implementing Regression Models/03.03.Demo Linear Regression Using Numeric Features.mp4
18.5 MB
04.Understanding and Implementing Classification Models/04.07.Demo Building Classification Models Using Multiple Techniques.mp4
16.2 MB
04.Understanding and Implementing Classification Models/04.09.Demo Performing Multiclass Classification on Text Data.mp4
15.6 MB
04.Understanding and Implementing Classification Models/04.04.Demo Building and Training a Binary Classification Model.mp4
14.4 MB
02.Understanding Approaches to Machine Learning/02.03.Rule-based vs. ML-based Learning.mp4
14.2 MB
03.Understanding and Implementing Regression Models/03.09.Demo Multiple Types of Regression.mp4
12.6 MB
05.Understanding and Implementing Clustering Model/05.07.Demo Performing K-means Clustering on Unlabeled Data.mp4
12.4 MB
02.Understanding Approaches to Machine Learning/02.06.Choosing the Right Model Based on Data.mp4
11.0 MB
03.Understanding and Implementing Regression Models/03.05.Demo Preprocessing Numeric and Categorical Data and Fitting a Regression Model.mp4
11.0 MB
02.Understanding Approaches to Machine Learning/02.08.Transfer Learning, Cold Start ML and Warm Start ML.mp4
10.6 MB
04.Understanding and Implementing Classification Models/04.03.Understanding Logistic Regression Intuitively.mp4
10.4 MB
01.Course Overview/01.01.Course Overview.mp4
10.4 MB
04.Understanding and Implementing Classification Models/04.06.Understanding Decision Tree and Naive Bayes Classification.mp4
10.4 MB
03.Understanding and Implementing Regression Models/03.04.Demo Exploring Regression Data.mp4
10.1 MB
03.Understanding and Implementing Regression Models/03.02.Building and Evaluating Regression Models.mp4
9.8 MB
02.Understanding Approaches to Machine Learning/02.07.Supervised vs. Unsupervised Learning.mp4
9.7 MB
Exercise_file.zip
8.5 MB
04.Understanding and Implementing Classification Models/04.02.Types of Classifiers.mp4
8.3 MB
05.Understanding and Implementing Clustering Model/05.02.Clustering as an Unsupervised Learning Technique.mp4
7.9 MB
04.Understanding and Implementing Classification Models/04.05.Understanding Support Vector and Nearest Neighbors Classification.mp4
7.9 MB
03.Understanding and Implementing Regression Models/03.07.Regularized Regression Models Lasso, Ridge, and Elastic Net.mp4
7.7 MB
05.Understanding and Implementing Clustering Model/05.03.Choosing Clustering Algorithms.mp4
7.7 MB
02.Understanding Approaches to Machine Learning/02.04.Traditional ML vs. Representation ML.mp4
7.3 MB
05.Understanding and Implementing Clustering Model/05.06.Hierarchical Clustering.mp4
7.2 MB
05.Understanding and Implementing Clustering Model/05.10.Summary and Further Study.mp4
6.9 MB
04.Understanding and Implementing Classification Models/04.08.Demo Using Warm Start with an Ensemble Classifier.mp4
6.9 MB
02.Understanding Approaches to Machine Learning/02.09.Popular Machine Learning Frameworks.mp4
6.8 MB
02.Understanding Approaches to Machine Learning/02.01.Module Overview.mp4
6.8 MB
02.Understanding Approaches to Machine Learning/02.05.The Machine Learning Workflow.mp4
6.3 MB
05.Understanding and Implementing Clustering Model/05.04.Categorizing Clustering Algorithms.mp4
6.0 MB
05.Understanding and Implementing Clustering Model/05.05.K-means Clustering.mp4
5.3 MB
03.Understanding and Implementing Regression Models/03.06.Choosing Regression Algorithms.mp4
5.2 MB
02.Understanding Approaches to Machine Learning/02.02.Prerequisites and Course Outline.mp4
5.0 MB
03.Understanding and Implementing Regression Models/03.08.Stochastic Gradient Descent.mp4
4.6 MB
02.Understanding Approaches to Machine Learning/02.10.Demo Getting Started with scikit-learn.mp4
4.6 MB
02.Understanding Approaches to Machine Learning/02.11.Module Summary.mp4
2.8 MB
03.Understanding and Implementing Regression Models/03.10.Module Summary.mp4
2.7 MB
03.Understanding and Implementing Regression Models/03.01.Module Overview.mp4
2.5 MB
04.Understanding and Implementing Classification Models/04.01.Module Overview.mp4
2.4 MB
05.Understanding and Implementing Clustering Model/05.01.Module Overview.mp4
2.3 MB
04.Understanding and Implementing Classification Models/04.10.Module Summary.mp4
2.1 MB
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