Udemy - Feature Engineering for Machine Learning by Soledad Galli torrent

Feature Engineering for Machine Learning by Soledad Galli
https://DevCourseWeb.com

Updated 03/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 138 lectures (10h 28m) | Size: 3.1 GB

Learn imputation, variable encoding, discretization, feature extraction, how to work with datetime, outliers, and more

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.
Learn how to work with skewed variables.
Convert numerical variables into discrete ones.
Remove outliers from your variables.
Extract useful features from dates and time variables.
Learn techniques used in organizations 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.