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[FreeCoursesOnline.Me] [Pluralsight] Preparing Data for Feature Engineering and Machine Learning [FCO]
magnet:?xt=urn:btih:d0c354116c5cda38b815ba39102cb93f51a451d8&dn=[FreeCoursesOnline.Me] [Pluralsight] Preparing Data for Feature Engineering and Machine Learning [FCO]
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Hash值:
d0c354116c5cda38b815ba39102cb93f51a451d8
点击数:
168
文件大小:
437.85 MB
文件数量:
47
创建日期:
2020-2-8 08:35
最后访问:
2024-10-31 23:23
访问标签:
FreeCoursesOnline
Me
Pluralsight
Preparing
Data
for
Feature
Engineering
and
Machine
Learning
FCO
文件列表详情
01 - Course Overview/01 - Course Overview.mp4 9.67 MB
02 - Understanding the Role of Features in Machine Learning/02 - Module Overview.mp4 5.29 MB
02 - Understanding the Role of Features in Machine Learning/03 - Prerequisites and Course Outline.mp4 4.68 MB
02 - Understanding the Role of Features in Machine Learning/04 - Features and Labels.mp4 9.15 MB
02 - Understanding the Role of Features in Machine Learning/05 - The Machine Learning Workflow.mp4 6.33 MB
02 - Understanding the Role of Features in Machine Learning/06 - Components of Feature Engineering.mp4 3.57 MB
02 - Understanding the Role of Features in Machine Learning/07 - Feature Selection, Feature Learning, and Feature Extraction.mp4 10.36 MB
02 - Understanding the Role of Features in Machine Learning/08 - Feature Combination and Dimensionality Reduction.mp4 5.78 MB
02 - Understanding the Role of Features in Machine Learning/09 - Training, Validation, and Test Data.mp4 7.94 MB
02 - Understanding the Role of Features in Machine Learning/10 - K-fold Cross Validation.mp4 6.9 MB
02 - Understanding the Role of Features in Machine Learning/11 - Module Summary.mp4 5.42 MB
03 - Preparing Data for Machine Learning/12 - Module Overview.mp4 6.4 MB
03 - Preparing Data for Machine Learning/13 - Problems with Data.mp4 6.6 MB
03 - Preparing Data for Machine Learning/14 - Dealing with Missing Values.mp4 6.39 MB
03 - Preparing Data for Machine Learning/15 - Dealing with Outliers.mp4 8.16 MB
03 - Preparing Data for Machine Learning/16 - Applying Different Techniques to Handle Missing Values.mp4 13.89 MB
03 - Preparing Data for Machine Learning/17 - Detecting and Handling Outliers.mp4 12.97 MB
03 - Preparing Data for Machine Learning/18 - Reading and Exploring the Dataset.mp4 16.31 MB
03 - Preparing Data for Machine Learning/19 - Perform Simple and Multiple Linear Regression.mp4 8.71 MB
03 - Preparing Data for Machine Learning/20 - Module Summary.mp4 4.62 MB
04 - Understanding and Implementing Feature Selection/21 - Module Overview.mp4 2.02 MB
04 - Understanding and Implementing Feature Selection/22 - Types of Data.mp4 6.66 MB
04 - Understanding and Implementing Feature Selection/23 - Measuring Correlations.mp4 6.26 MB
04 - Understanding and Implementing Feature Selection/24 - Understanding Feature Selection Using Filter, Embedded, and Wrapper Methods.mp4 8.08 MB
04 - Understanding and Implementing Feature Selection/25 - Feature Selection Using Missing Value Ratio.mp4 10.75 MB
04 - Understanding and Implementing Feature Selection/26 - Calculating and Visualizing Correlations Using Pandas.mp4 14.42 MB
04 - Understanding and Implementing Feature Selection/27 - Calculating and Visualizing Correlations Using Yellowbrick.mp4 6.82 MB
04 - Understanding and Implementing Feature Selection/28 - Feature Selection Using Filter Methods.mp4 13.32 MB
04 - Understanding and Implementing Feature Selection/29 - Feature Selection Using Wrapper Methods.mp4 12.8 MB
04 - Understanding and Implementing Feature Selection/30 - Feature Selection Using Embedded Methods.mp4 10.19 MB
04 - Understanding and Implementing Feature Selection/31 - Module Summary.mp4 1.96 MB
05 - Exploring Feature Extraction Techniques/32 - Module Overview.mp4 2.02 MB
05 - Exploring Feature Extraction Techniques/33 - Representing Images as Matrices and Image Preprocessing Techniques.mp4 6.65 MB
05 - Exploring Feature Extraction Techniques/34 - Feature Detection and Extraction from Images.mp4 7.71 MB
05 - Exploring Feature Extraction Techniques/35 - Feature Extraction from Text.mp4 8.01 MB
05 - Exploring Feature Extraction Techniques/36 - Module Summary.mp4 1.69 MB
06 - Implementing Feature Extraction/37 - Module Overview.mp4 5.35 MB
06 - Implementing Feature Extraction/38 - Tokenization and Visualizing Frequency Distributions.mp4 8.82 MB
06 - Implementing Feature Extraction/39 - Performing Normalization Using Different Techniques.mp4 11.52 MB
06 - Implementing Feature Extraction/40 - Creating Feature Vectors from Text Data.mp4 13.47 MB
06 - Implementing Feature Extraction/41 - Loading and Transforming Images.mp4 12.23 MB
06 - Implementing Feature Extraction/42 - Extracting Features from Images.mp4 8.03 MB
06 - Implementing Feature Extraction/43 - Detecting Keypoints and Descriptors to Perform Image Matching.mp4 14.53 MB
06 - Implementing Feature Extraction/44 - Extracting Text from Images Using OCR.mp4 14.84 MB
06 - Implementing Feature Extraction/45 - Extracting Features from Dates.mp4 10.44 MB
06 - Implementing Feature Extraction/46 - Working with Geospatial Features.mp4 52.96 MB
06 - Implementing Feature Extraction/47 - Summary and Further Study.mp4 7.17 MB
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