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