[ FreeCourseWeb.com ] Feature Engineering for Machine Learning:Transform the variables in your data & build better performing machine learning models
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h264, yuv420p, 1280x720 |ENGLISH, aac, 44100 Hz, 2 channels | 9h 47 mn | 3.8 GB
Instructor: Soledad Galli
Transform the variables in your data and build better performing machine learning models
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
Use Winrar to Extract. And use a shorter path when extracting, such as C: drive
ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)
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