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种子名称： [FreeCoursesOnline.Me] [Pluralsight] Preparing Data for Feature Engineering and Machine Learning [FCO]
文件类型： 视频
文件数目： 47个文件
文件大小： 437.85 MB
收录时间： 2020-2-8 08:35
已经下载： 3次
资源热度： 193
最近下载： 2025-2-3 00:33

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[FreeCoursesOnline.Me] [Pluralsight] Preparing Data for Feature Engineering and Machine Learning [FCO].torrent

01 - Course Overview/01 - Course Overview.mp49.67MB

02 - Understanding the Role of Features in Machine Learning/02 - Module Overview.mp45.29MB

02 - Understanding the Role of Features in Machine Learning/03 - Prerequisites and Course Outline.mp44.68MB

02 - Understanding the Role of Features in Machine Learning/04 - Features and Labels.mp49.15MB

02 - Understanding the Role of Features in Machine Learning/05 - The Machine Learning Workflow.mp46.33MB

02 - Understanding the Role of Features in Machine Learning/06 - Components of Feature Engineering.mp43.57MB

02 - Understanding the Role of Features in Machine Learning/07 - Feature Selection, Feature Learning, and Feature Extraction.mp410.36MB

02 - Understanding the Role of Features in Machine Learning/08 - Feature Combination and Dimensionality Reduction.mp45.78MB

02 - Understanding the Role of Features in Machine Learning/09 - Training, Validation, and Test Data.mp47.94MB

02 - Understanding the Role of Features in Machine Learning/10 - K-fold Cross Validation.mp46.9MB

02 - Understanding the Role of Features in Machine Learning/11 - Module Summary.mp45.42MB

03 - Preparing Data for Machine Learning/12 - Module Overview.mp46.4MB

03 - Preparing Data for Machine Learning/13 - Problems with Data.mp46.6MB

03 - Preparing Data for Machine Learning/14 - Dealing with Missing Values.mp46.39MB

03 - Preparing Data for Machine Learning/15 - Dealing with Outliers.mp48.16MB

03 - Preparing Data for Machine Learning/16 - Applying Different Techniques to Handle Missing Values.mp413.89MB

03 - Preparing Data for Machine Learning/17 - Detecting and Handling Outliers.mp412.97MB

03 - Preparing Data for Machine Learning/18 - Reading and Exploring the Dataset.mp416.31MB

03 - Preparing Data for Machine Learning/19 - Perform Simple and Multiple Linear Regression.mp48.71MB

03 - Preparing Data for Machine Learning/20 - Module Summary.mp44.62MB

04 - Understanding and Implementing Feature Selection/21 - Module Overview.mp42.02MB

04 - Understanding and Implementing Feature Selection/22 - Types of Data.mp46.66MB

04 - Understanding and Implementing Feature Selection/23 - Measuring Correlations.mp46.26MB

04 - Understanding and Implementing Feature Selection/24 - Understanding Feature Selection Using Filter, Embedded, and Wrapper Methods.mp48.08MB

04 - Understanding and Implementing Feature Selection/25 - Feature Selection Using Missing Value Ratio.mp410.75MB

04 - Understanding and Implementing Feature Selection/26 - Calculating and Visualizing Correlations Using Pandas.mp414.42MB

04 - Understanding and Implementing Feature Selection/27 - Calculating and Visualizing Correlations Using Yellowbrick.mp46.82MB

04 - Understanding and Implementing Feature Selection/28 - Feature Selection Using Filter Methods.mp413.32MB

04 - Understanding and Implementing Feature Selection/29 - Feature Selection Using Wrapper Methods.mp412.8MB

04 - Understanding and Implementing Feature Selection/30 - Feature Selection Using Embedded Methods.mp410.19MB

04 - Understanding and Implementing Feature Selection/31 - Module Summary.mp41.96MB

05 - Exploring Feature Extraction Techniques/32 - Module Overview.mp42.02MB

05 - Exploring Feature Extraction Techniques/33 - Representing Images as Matrices and Image Preprocessing Techniques.mp46.65MB

05 - Exploring Feature Extraction Techniques/34 - Feature Detection and Extraction from Images.mp47.71MB

05 - Exploring Feature Extraction Techniques/35 - Feature Extraction from Text.mp48.01MB

05 - Exploring Feature Extraction Techniques/36 - Module Summary.mp41.69MB

06 - Implementing Feature Extraction/37 - Module Overview.mp45.35MB

06 - Implementing Feature Extraction/38 - Tokenization and Visualizing Frequency Distributions.mp48.82MB

06 - Implementing Feature Extraction/39 - Performing Normalization Using Different Techniques.mp411.52MB

06 - Implementing Feature Extraction/40 - Creating Feature Vectors from Text Data.mp413.47MB

06 - Implementing Feature Extraction/41 - Loading and Transforming Images.mp412.23MB

06 - Implementing Feature Extraction/42 - Extracting Features from Images.mp48.03MB

06 - Implementing Feature Extraction/43 - Detecting Keypoints and Descriptors to Perform Image Matching.mp414.53MB

06 - Implementing Feature Extraction/44 - Extracting Text from Images Using OCR.mp414.84MB

06 - Implementing Feature Extraction/45 - Extracting Features from Dates.mp410.44MB

06 - Implementing Feature Extraction/46 - Working with Geospatial Features.mp452.96MB

06 - Implementing Feature Extraction/47 - Summary and Further Study.mp47.17MB