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[ DevCourseWeb ] Udemy - Feature Engineering Case Study in Python torrent


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Torrent language: English English
Total Size: 591.10 MB
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Uploader:
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Torrent added:2020-12-30 20:05:27

Download [ DevCourseWeb ] Udemy - Feature Engineering Case Study in Python torrent




Torrent Description
[ DevCourseWeb.com ] Feature Engineering Case Study in Python

Download More Courses Visit and Support Us -->> https://DevCourseWeb.com
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 29 lectures (1h 41m) | Size: 380.3 MB
A Complete Introduction to Feature Engineering
What you'll learn:
You'll define what feature engineering is and it's importance in machine learning.
You'll walk through an end to end case study on featuring engineering.
You'll learn data imputation and advanced data cleansing techniques.
You'll learn how to compare and contrast various cleansed datasets.

Requirements
You'll need to have a solid foundation in Python to get the most out of this course.
You'll need to have a solid foundation in machine learning to get the most out of this course.
You'll need to have some applied statistics for machine learning engineers to get the most out of this class.

Description
Course Overview

The quality of the predictions coming out of your machine learning model is a direct reflection of the data you feed it during training. Feature engineering helps you extract every last bit of value out of data. This course provides the tools to take a data set, tease out the signal, and throw out the noise in order to optimize your models.

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Download More Courses Visit and Support Us -->> https://DevCourseWeb.com

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We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...


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