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

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

Name	[FreeCoursesOnline.Me] [Pluralsight] Preparing Data for Feature Engineering and Machine Learning [FCO]	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	491.1 MB
Total Files	101
Last Seen	2025-07-18 23:36
Hash	D0C354116C5CDA38B815BA39102CB93F51A451D8

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/01 - Course Overview/
01 - Course Overview.en.srt	3.4 KB
01 - Course Overview.mp4	10.1 MB
/02 - Understanding the Role of Features in Machine Learning/
02 - Module Overview.en.srt	2.3 KB
02 - Module Overview.mp4	5.5 MB
03 - Prerequisites and Course Outline.en.srt	2.7 KB
03 - Prerequisites and Course Outline.mp4	4.9 MB
04 - Features and Labels.en.srt	12.3 KB
04 - Features and Labels.mp4	9.6 MB
05 - The Machine Learning Workflow.en.srt	7.9 KB
05 - The Machine Learning Workflow.mp4	6.6 MB
06 - Components of Feature Engineering.en.srt	5.1 KB
06 - Components of Feature Engineering.mp4	3.7 MB
07 - Feature Selection, Feature Learning, and Feature Extraction.en.srt	13.9 KB
07 - Feature Selection, Feature Learning, and Feature Extraction.mp4	10.9 MB
08 - Feature Combination and Dimensionality Reduction.en.srt	7.8 KB
08 - Feature Combination and Dimensionality Reduction.mp4	6.1 MB
09 - Training, Validation, and Test Data.en.srt	10.8 KB
09 - Training, Validation, and Test Data.mp4	8.3 MB
10 - K-fold Cross Validation.en.srt	7.7 KB
10 - K-fold Cross Validation.mp4	7.2 MB
11 - Module Summary.en.srt	2.5 KB
11 - Module Summary.mp4	5.7 MB
/03 - Preparing Data for Machine Learning/
12 - Module Overview.en.srt	3.1 KB
12 - Module Overview.mp4	6.7 MB
13 - Problems with Data.en.srt	7.8 KB
13 - Problems with Data.mp4	6.9 MB
14 - Dealing with Missing Values.en.srt	9.4 KB
14 - Dealing with Missing Values.mp4	6.7 MB
15 - Dealing with Outliers.en.srt	11.3 KB
15 - Dealing with Outliers.mp4	8.6 MB
16 - Applying Different Techniques to Handle Missing Values.en.srt	14.3 KB
16 - Applying Different Techniques to Handle Missing Values.mp4	14.6 MB
17 - Detecting and Handling Outliers.en.srt	13.5 KB
17 - Detecting and Handling Outliers.mp4	13.6 MB
18 - Reading and Exploring the Dataset.en.srt	15.4 KB
18 - Reading and Exploring the Dataset.mp4	17.1 MB
19 - Perform Simple and Multiple Linear Regression.en.srt	8.7 KB
19 - Perform Simple and Multiple Linear Regression.mp4	9.1 MB
20 - Module Summary.en.srt	2.3 KB
20 - Module Summary.mp4	4.8 MB
/04 - Understanding and Implementing Feature Selection/
21 - Module Overview.en.srt	3.3 KB
21 - Module Overview.mp4	2.1 MB
22 - Types of Data.en.srt	8.4 KB
22 - Types of Data.mp4	7.0 MB
23 - Measuring Correlations.en.srt	8.9 KB
23 - Measuring Correlations.mp4	6.6 MB
24 - Understanding Feature Selection Using Filter, Embedded, and Wrapper Methods.en.srt	11.4 KB
24 - Understanding Feature Selection Using Filter, Embedded, and Wrapper Methods.mp4	8.5 MB
25 - Feature Selection Using Missing Value Ratio.en.srt	10.1 KB
25 - Feature Selection Using Missing Value Ratio.mp4	11.3 MB
26 - Calculating and Visualizing Correlations Using Pandas.en.srt	11.9 KB
26 - Calculating and Visualizing Correlations Using Pandas.mp4	15.1 MB
27 - Calculating and Visualizing Correlations Using Yellowbrick.en.srt	5.4 KB
27 - Calculating and Visualizing Correlations Using Yellowbrick.mp4	7.1 MB
28 - Feature Selection Using Filter Methods.en.srt	12.1 KB
28 - Feature Selection Using Filter Methods.mp4	14.0 MB
29 - Feature Selection Using Wrapper Methods.en.srt	11.5 KB
29 - Feature Selection Using Wrapper Methods.mp4	13.4 MB
30 - Feature Selection Using Embedded Methods.en.srt	9.9 KB
30 - Feature Selection Using Embedded Methods.mp4	10.7 MB
31 - Module Summary.en.srt	3.2 KB
31 - Module Summary.mp4	2.1 MB
/05 - Exploring Feature Extraction Techniques/
32 - Module Overview.en.srt	2.6 KB
32 - Module Overview.mp4	2.1 MB
33 - Representing Images as Matrices and Image Preprocessing Techniques.en.srt	8.9 KB
33 - Representing Images as Matrices and Image Preprocessing Techniques.mp4	7.0 MB
34 - Feature Detection and Extraction from Images.en.srt	10.2 KB
34 - Feature Detection and Extraction from Images.mp4	8.1 MB
35 - Feature Extraction from Text.en.srt	11.6 KB
35 - Feature Extraction from Text.mp4	8.4 MB
36 - Module Summary.en.srt	2.4 KB
36 - Module Summary.mp4	1.8 MB
/06 - Implementing Feature Extraction/
37 - Module Overview.en.srt	2.1 KB
37 - Module Overview.mp4	5.6 MB
38 - Tokenization and Visualizing Frequency Distributions.en.srt	7.6 KB
38 - Tokenization and Visualizing Frequency Distributions.mp4	9.2 MB
39 - Performing Normalization Using Different Techniques.en.srt	9.7 KB
39 - Performing Normalization Using Different Techniques.mp4	12.1 MB
40 - Creating Feature Vectors from Text Data.en.srt	12.1 KB
40 - Creating Feature Vectors from Text Data.mp4	14.1 MB
41 - Loading and Transforming Images.en.srt	9.7 KB
41 - Loading and Transforming Images.mp4	12.8 MB
42 - Extracting Features from Images.en.srt	6.5 KB
42 - Extracting Features from Images.mp4	8.4 MB
43 - Detecting Keypoints and Descriptors to Perform Image Matching.en.srt	9.5 KB
43 - Detecting Keypoints and Descriptors to Perform Image Matching.mp4	15.2 MB
44 - Extracting Text from Images Using OCR.en.srt	7.1 KB
44 - Extracting Text from Images Using OCR.mp4	15.6 MB
45 - Extracting Features from Dates.en.srt	8.5 KB
45 - Extracting Features from Dates.mp4	11.0 MB
46 - Working with Geospatial Features.en.srt	12.7 KB
46 - Working with Geospatial Features.mp4	55.5 MB
47 - Summary and Further Study.en.srt	3.1 KB
47 - Summary and Further Study.mp4	7.5 MB
/
Exercise Files.zip	31.6 MB
Total files 101