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PROUDLY PRESENTING:
Preparing.Data.for.Feature.Engineering.and.Machine.Learning
INFORMATION:
Date............: 2019-10-29
Rars............: 23 Rar Files
Course Length...: 3 hrs 17 mins
Website.........: https://www.pluralsight.com/courses/preparing-data-feature-engineering-machine-learning
Release Notes...:
However well designed and well implemented a machine learning
model is, if the data fed in is poorly engineered, the
model s predictions will be disappointing. In this course,
Preparing Data for Feature Engineering and Machine Learning,
you will gain the ability to appropriately pre-process your
data -- in effect engineer it -- so that you can get the best
out of your ML models. First, you will learn how feature
selection techniques can be used to find predictors that
contain the most information. Feature selection can be
broadly grouped into three categories known as filter,
wrapper, and embedded techniques and we will understand and
implement all of these. Next, you will discover how feature
extraction differs from feature selection, in that data is
substantially re-expressed, sometimes in forms that are hard
to interpret. You will then understand techniques for feature
extraction from image and text data. Finally, you will
round out your knowledge by understanding how to leverage
powerful Python libraries for working with images, text,
dates, and geo-spatial data. When you re finished with this
course, you will have the skills and knowledge to identify
the correct feature engineering techniques, and the
appropriate solutions for your use-case.
Install Notes...:
Unrar, Learn and Enjoy!
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