[ FreeCourseWeb ] Udemy - Data Cleansing Master Class in Python torrent

Data Cleansing Master Class in Python



MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 104 lectures (3h 31m) | Size: 1.12 GB
The Complete Guide to Data Cleansing for Machine Learning Engineers
What you'll learn:
You'll learn data imputation and advanced data cleansing techniques.
You'll learn how to apply real-world data cleansing techniques to your data.
You'll learn advanced data cleansing techniques.
You'll learn how to prepare data in a way that avoids data leakage, and in turn, incorrect model evaluation.

Requirements
You'll need a really solid foundation in Python.
You'll need to understand the basics of machine learning.

Description
Welcome to Data Cleansing Master Class in Python.

Data preparation may be the most important part of a machine learning project. It is the most time consuming part, although it seems to be the least discussed topic. Data preparation, sometimes referred to as data preprocessing, is the act of transforming raw data into a form that is appropriate for modeling.

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