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[ FreeCourseWeb ] Udemy - Feature Engineering for Machine Learning (updated 10-2019)

Torrent: [ FreeCourseWeb ] Udemy - Feature Engineering for Machine Learning (updated 10-2019)
Description:

[ FreeCourseWeb.com ] Feature Engineering for Machine Learning (updated 10/2019)

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Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | VTT | Size: 3.76 GB | Duration: 9.5 hours
What you'll learn
Learn multiple techniques for missing data imputation
Transform categorical variables into numbers while capturing meaningful information
Learn how to deal with infrequent, rare and unseen categories
Transform skewed variables into Gaussian
Convert numerical variables into discrete
Remove outliers from your variables
Extract meaningful features from dates and time variables
Learn techniques used in organisations worldwide and in data competitions
Increase your repertoire of techniques to preprocess data and build more powerful machine learning models

Requirements
A Python installation
Jupyter notebook installation
Python coding skills
Some experience with Numpy and Pandas
Familiarity with Machine Learning algorithms
Familiarity with Scikit-Learn
Description
NEW! Updated in November 2019 for the latest software versions, including use of new tools and open-source packages, and additional feature engineering techniques.

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Welcome to Feature Engineering for Machine Learning, the most comprehensive course on feature engineering available online. In this course, you will learn how to engineer features and build more powerful machine learning models.

Use Winrar to Extract. And use a shorter path when extracting, such as C: drive

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Downloads: 68
Category: Other/Tutorials
Size: 3.7 GB
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Added: 2019-11-23 11:03:21
Language: English
Peers: Seeders : 11 , Leechers : 4
Release name: [ FreeCourseWeb ] Udemy - Feature Engineering for Machine Learning (updated 10-2019)
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