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filePluralsight-Preparing-Da-1zWJt

Pluralsight Preparing Data for Feature Engineering and chine Learning FCO
  • MP401 - Course Overview/01 - Course Overview.mp49.67MB
  • MP402 - Understanding the Role of Features in chine Learning/02 - Module Overview.mp45.29MB
  • MP402 - Understanding the Role of Features in chine Learning/03 - Prerequisites and Course Outline.mp44.68MB
  • MP402 - Understanding the Role of Features in chine Learning/04 - Features and Labels.mp49.15MB
  • MP402 - Understanding the Role of Features in chine Learning/05 - The Machine Learning Workflow.mp46.33MB
  • MP402 - Understanding the Role of Features in chine Learning/06 - Components of Feature Engineering.mp43.57MB
  • MP402 - Understanding the Role of Features in chine Learning/07 - Feature Selection, Feature Learning, and Feature Extraction.mp410.36MB
  • MP402 - Understanding the Role of Features in chine Learning/08 - Feature Combination and Dimensionality Reduction.mp45.78MB
  • MP402 - Understanding the Role of Features in chine Learning/09 - Training, Validation, and Test Data.mp47.94MB
  • MP402 - Understanding the Role of Features in chine Learning/10 - K-fold Cross Validation.mp46.90MB
  • MP402 - Understanding the Role of Features in chine Learning/11 - Module Summary.mp45.42MB
  • MP403 - Preparing Data for chine Learning/12 - Module Overview.mp46.40MB
  • MP403 - Preparing Data for chine Learning/13 - Problems with Data.mp46.60MB
  • MP403 - Preparing Data for chine Learning/14 - Dealing with Missing Values.mp46.39MB
  • MP403 - Preparing Data for chine Learning/15 - Dealing with Outliers.mp48.16MB
  • MP403 - Preparing Data for chine Learning/16 - Applying Different Techniques to Handle Missing Values.mp413.89MB
  • MP403 - Preparing Data for chine Learning/17 - Detecting and Handling Outliers.mp412.97MB
  • MP403 - Preparing Data for chine Learning/18 - Reading and Exploring the Dataset.mp416.31MB
  • MP403 - Preparing Data for chine Learning/19 - Perform Simple and Multiple Linear Regression.mp48.71MB
  • MP403 - Preparing Data for chine Learning/20 - Module Summary.mp44.62MB
  • MP404 - Understanding and Implementing Feature Selection/21 - Module Overview.mp42.02MB
  • MP404 - Understanding and Implementing Feature Selection/22 - Types of Data.mp46.66MB
  • MP404 - Understanding and Implementing Feature Selection/23 - Measuring Correlations.mp46.26MB
  • MP404 - Understanding and Implementing Feature Selection/24 - Understanding Feature Selection Using Filter, Embedded, and Wrapper Methods.mp48.08MB
  • MP404 - Understanding and Implementing Feature Selection/25 - Feature Selection Using Missing Value Ratio.mp410.75MB
  • MP404 - Understanding and Implementing Feature Selection/26 - Calculating and Visualizing Correlations Using Pandas.mp414.42MB
  • MP404 - Understanding and Implementing Feature Selection/27 - Calculating and Visualizing Correlations Using Yellowbrick.mp46.82MB
  • MP404 - Understanding and Implementing Feature Selection/28 - Feature Selection Using Filter Methods.mp413.32MB
  • MP404 - Understanding and Implementing Feature Selection/29 - Feature Selection Using Wrapper Methods.mp412.80MB
  • MP404 - Understanding and Implementing Feature Selection/30 - Feature Selection Using Embedded Methods.mp410.19MB
  • MP404 - Understanding and Implementing Feature Selection/31 - Module Sumry.mp41.96MB
  • MP405 - Exploring Feature Extraction Techniques/32 - Module Overview.mp42.02MB
  • MP405 - Exploring Feature Extraction Techniques/33 - Representing Iges as Matrices and Image Preprocessing Techniques.mp46.65MB
  • MP405 - Exploring Feature Extraction Techniques/34 - Feature Detection and Extraction from Iges.mp47.71MB
  • MP405 - Exploring Feature Extraction Techniques/35 - Feature Extraction from Text.mp48.01MB
  • MP405 - Exploring Feature Extraction Techniques/36 - Module Sumry.mp41.69MB
  • MP406 - Implementing Feature Extraction/37 - Module Overview.mp45.35MB
  • MP406 - Implementing Feature Extraction/38 - Tokenization and Visualizing Frequency Distributions.mp48.82MB
  • MP406 - Implementing Feature Extraction/39 - Performing Norlization Using Different Techniques.mp411.52MB
  • MP406 - Implementing Feature Extraction/40 - Creating Feature Vectors from Text Data.mp413.47MB
  • MP406 - Implementing Feature Extraction/41 - Loading and Transforming Iges.mp412.23MB
  • MP406 - Implementing Feature Extraction/42 - Extracting Features from Iges.mp48.03MB
  • MP406 - Implementing Feature Extraction/43 - Detecting Keypoints and Descriptors to Perform Ige Matching.mp414.53MB
  • MP406 - Implementing Feature Extraction/44 - Extracting Text from Iges Using OCR.mp414.84MB
  • MP406 - Implementing Feature Extraction/45 - Extracting Features from Dates.mp410.44MB
  • MP406 - Implementing Feature Extraction/46 - Working with Geospatial Features.mp452.96MB
  • MP406 - Implementing Feature Extraction/47 - Sumry and Further Study.mp47.17MB
  • ZIPExercise Files.zip30.12MB
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