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

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文档列表

06 - Implementing Feature Extraction/46 - Working with Geospatial Features.mp4 55.5 MB
Exercise Files.zip 31.6 MB
03 - Preparing Data for Machine Learning/18 - Reading and Exploring the Dataset.mp4 17.1 MB
06 - Implementing Feature Extraction/44 - Extracting Text from Images Using OCR.mp4 15.6 MB
06 - Implementing Feature Extraction/43 - Detecting Keypoints and Descriptors to Perform Image Matching.mp4 15.2 MB
04 - Understanding and Implementing Feature Selection/26 - Calculating and Visualizing Correlations Using Pandas.mp4 15.1 MB
03 - Preparing Data for Machine Learning/16 - Applying Different Techniques to Handle Missing Values.mp4 14.6 MB
06 - Implementing Feature Extraction/40 - Creating Feature Vectors from Text Data.mp4 14.1 MB
04 - Understanding and Implementing Feature Selection/28 - Feature Selection Using Filter Methods.mp4 14.0 MB
03 - Preparing Data for Machine Learning/17 - Detecting and Handling Outliers.mp4 13.6 MB
04 - Understanding and Implementing Feature Selection/29 - Feature Selection Using Wrapper Methods.mp4 13.4 MB
06 - Implementing Feature Extraction/41 - Loading and Transforming Images.mp4 12.8 MB
06 - Implementing Feature Extraction/39 - Performing Normalization Using Different Techniques.mp4 12.1 MB
04 - Understanding and Implementing Feature Selection/25 - Feature Selection Using Missing Value Ratio.mp4 11.3 MB
06 - Implementing Feature Extraction/45 - Extracting Features from Dates.mp4 11.0 MB
02 - Understanding the Role of Features in Machine Learning/07 - Feature Selection, Feature Learning, and Feature Extraction.mp4 10.9 MB
04 - Understanding and Implementing Feature Selection/30 - Feature Selection Using Embedded Methods.mp4 10.7 MB
01 - Course Overview/01 - Course Overview.mp4 10.1 MB
02 - Understanding the Role of Features in Machine Learning/04 - Features and Labels.mp4 9.6 MB
06 - Implementing Feature Extraction/38 - Tokenization and Visualizing Frequency Distributions.mp4 9.2 MB
03 - Preparing Data for Machine Learning/19 - Perform Simple and Multiple Linear Regression.mp4 9.1 MB
03 - Preparing Data for Machine Learning/15 - Dealing with Outliers.mp4 8.6 MB
04 - Understanding and Implementing Feature Selection/24 - Understanding Feature Selection Using Filter, Embedded, and Wrapper Methods.mp4 8.5 MB
06 - Implementing Feature Extraction/42 - Extracting Features from Images.mp4 8.4 MB
05 - Exploring Feature Extraction Techniques/35 - Feature Extraction from Text.mp4 8.4 MB
02 - Understanding the Role of Features in Machine Learning/09 - Training, Validation, and Test Data.mp4 8.3 MB
05 - Exploring Feature Extraction Techniques/34 - Feature Detection and Extraction from Images.mp4 8.1 MB
06 - Implementing Feature Extraction/47 - Summary and Further Study.mp4 7.5 MB
02 - Understanding the Role of Features in Machine Learning/10 - K-fold Cross Validation.mp4 7.2 MB
04 - Understanding and Implementing Feature Selection/27 - Calculating and Visualizing Correlations Using Yellowbrick.mp4 7.1 MB
04 - Understanding and Implementing Feature Selection/22 - Types of Data.mp4 7.0 MB
05 - Exploring Feature Extraction Techniques/33 - Representing Images as Matrices and Image Preprocessing Techniques.mp4 7.0 MB
03 - Preparing Data for Machine Learning/13 - Problems with Data.mp4 6.9 MB
03 - Preparing Data for Machine Learning/12 - Module Overview.mp4 6.7 MB
03 - Preparing Data for Machine Learning/14 - Dealing with Missing Values.mp4 6.7 MB
02 - Understanding the Role of Features in Machine Learning/05 - The Machine Learning Workflow.mp4 6.6 MB
04 - Understanding and Implementing Feature Selection/23 - Measuring Correlations.mp4 6.6 MB
02 - Understanding the Role of Features in Machine Learning/08 - Feature Combination and Dimensionality Reduction.mp4 6.1 MB
02 - Understanding the Role of Features in Machine Learning/11 - Module Summary.mp4 5.7 MB
06 - Implementing Feature Extraction/37 - Module Overview.mp4 5.6 MB
02 - Understanding the Role of Features in Machine Learning/02 - Module Overview.mp4 5.5 MB
02 - Understanding the Role of Features in Machine Learning/03 - Prerequisites and Course Outline.mp4 4.9 MB
03 - Preparing Data for Machine Learning/20 - Module Summary.mp4 4.8 MB
02 - Understanding the Role of Features in Machine Learning/06 - Components of Feature Engineering.mp4 3.7 MB
04 - Understanding and Implementing Feature Selection/21 - Module Overview.mp4 2.1 MB
05 - Exploring Feature Extraction Techniques/32 - Module Overview.mp4 2.1 MB
04 - Understanding and Implementing Feature Selection/31 - Module Summary.mp4 2.1 MB
05 - Exploring Feature Extraction Techniques/36 - Module Summary.mp4 1.8 MB
03 - Preparing Data for Machine Learning/18 - Reading and Exploring the Dataset.en.srt 15.4 kB
03 - Preparing Data for Machine Learning/16 - Applying Different Techniques to Handle Missing Values.en.srt 14.3 kB
02 - Understanding the Role of Features in Machine Learning/07 - Feature Selection, Feature Learning, and Feature Extraction.en.srt 13.9 kB
03 - Preparing Data for Machine Learning/17 - Detecting and Handling Outliers.en.srt 13.5 kB
06 - Implementing Feature Extraction/46 - Working with Geospatial Features.en.srt 12.7 kB
02 - Understanding the Role of Features in Machine Learning/04 - Features and Labels.en.srt 12.3 kB
06 - Implementing Feature Extraction/40 - Creating Feature Vectors from Text Data.en.srt 12.1 kB
04 - Understanding and Implementing Feature Selection/28 - Feature Selection Using Filter Methods.en.srt 12.1 kB
04 - Understanding and Implementing Feature Selection/26 - Calculating and Visualizing Correlations Using Pandas.en.srt 11.9 kB
05 - Exploring Feature Extraction Techniques/35 - Feature Extraction from Text.en.srt 11.6 kB
04 - Understanding and Implementing Feature Selection/29 - Feature Selection Using Wrapper Methods.en.srt 11.5 kB
04 - Understanding and Implementing Feature Selection/24 - Understanding Feature Selection Using Filter, Embedded, and Wrapper Methods.en.srt 11.4 kB
03 - Preparing Data for Machine Learning/15 - Dealing with Outliers.en.srt 11.3 kB
02 - Understanding the Role of Features in Machine Learning/09 - Training, Validation, and Test Data.en.srt 10.8 kB
05 - Exploring Feature Extraction Techniques/34 - Feature Detection and Extraction from Images.en.srt 10.2 kB
04 - Understanding and Implementing Feature Selection/25 - Feature Selection Using Missing Value Ratio.en.srt 10.1 kB
04 - Understanding and Implementing Feature Selection/30 - Feature Selection Using Embedded Methods.en.srt 9.9 kB
06 - Implementing Feature Extraction/41 - Loading and Transforming Images.en.srt 9.7 kB
06 - Implementing Feature Extraction/39 - Performing Normalization Using Different Techniques.en.srt 9.7 kB
06 - Implementing Feature Extraction/43 - Detecting Keypoints and Descriptors to Perform Image Matching.en.srt 9.5 kB
03 - Preparing Data for Machine Learning/14 - Dealing with Missing Values.en.srt 9.4 kB
05 - Exploring Feature Extraction Techniques/33 - Representing Images as Matrices and Image Preprocessing Techniques.en.srt 8.9 kB
04 - Understanding and Implementing Feature Selection/23 - Measuring Correlations.en.srt 8.9 kB
03 - Preparing Data for Machine Learning/19 - Perform Simple and Multiple Linear Regression.en.srt 8.7 kB
06 - Implementing Feature Extraction/45 - Extracting Features from Dates.en.srt 8.5 kB
04 - Understanding and Implementing Feature Selection/22 - Types of Data.en.srt 8.4 kB
02 - Understanding the Role of Features in Machine Learning/05 - The Machine Learning Workflow.en.srt 7.9 kB
03 - Preparing Data for Machine Learning/13 - Problems with Data.en.srt 7.8 kB
02 - Understanding the Role of Features in Machine Learning/08 - Feature Combination and Dimensionality Reduction.en.srt 7.8 kB
02 - Understanding the Role of Features in Machine Learning/10 - K-fold Cross Validation.en.srt 7.7 kB
06 - Implementing Feature Extraction/38 - Tokenization and Visualizing Frequency Distributions.en.srt 7.6 kB
06 - Implementing Feature Extraction/44 - Extracting Text from Images Using OCR.en.srt 7.1 kB
06 - Implementing Feature Extraction/42 - Extracting Features from Images.en.srt 6.5 kB
04 - Understanding and Implementing Feature Selection/27 - Calculating and Visualizing Correlations Using Yellowbrick.en.srt 5.4 kB
02 - Understanding the Role of Features in Machine Learning/06 - Components of Feature Engineering.en.srt 5.1 kB
01 - Course Overview/01 - Course Overview.en.srt 3.4 kB
04 - Understanding and Implementing Feature Selection/21 - Module Overview.en.srt 3.3 kB
04 - Understanding and Implementing Feature Selection/31 - Module Summary.en.srt 3.2 kB
06 - Implementing Feature Extraction/47 - Summary and Further Study.en.srt 3.1 kB
03 - Preparing Data for Machine Learning/12 - Module Overview.en.srt 3.1 kB
02 - Understanding the Role of Features in Machine Learning/03 - Prerequisites and Course Outline.en.srt 2.7 kB
05 - Exploring Feature Extraction Techniques/32 - Module Overview.en.srt 2.6 kB
02 - Understanding the Role of Features in Machine Learning/11 - Module Summary.en.srt 2.5 kB
05 - Exploring Feature Extraction Techniques/36 - Module Summary.en.srt 2.4 kB
02 - Understanding the Role of Features in Machine Learning/02 - Module Overview.en.srt 2.3 kB
03 - Preparing Data for Machine Learning/20 - Module Summary.en.srt 2.3 kB
06 - Implementing Feature Extraction/37 - Module Overview.en.srt 2.1 kB
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