Data Cleansing Master Class in Python: The Complete Guide to Data Cleansing for Machine Learning Engineers

Mike West

$49.99

Video Dec 2021 3hrs 33mins 1st Edition

Mike West

$49.99

Video Dec 2021 3hrs 33mins 1st Edition

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Key benefits

Learn how to apply real-world data cleansing techniques to your data
Learn advanced data cleansing techniques
Learn how to prepare data in a way that avoids data leakage, and in turn, incorrect model evaluation

Description

Data preparation may be the most important part of a machine learning project. It is the most time-consuming part, although it is 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. Machine learning algorithms require input data to be numbered, and most algorithm implementations maintain this expectation. Therefore, if your data contains data types and values that are not numbers, such as labels, you will need to change the data into numbers. Further, specific machine learning algorithms have expectations regarding the data types, scale, probability distribution, and relationships between input variables, and you may need to change the data to meet these expectations. In this course, you will learn data imputation and advanced data cleansing techniques, how to apply real-world data cleansing techniques to your data, advanced data cleansing techniques. Also, learn how to prepare data in a way that avoids data leakage, and in turn, incorrect model evaluation. By the end of this course, you will perform data preprocessing and master data cleaning skills. The complete code bundle for this course is available at https://github.com/PacktPublishing/Data-Cleansing-Master-Class-in-Python

Who is this book for?

This course is for you if you are serious about becoming a machine learning engineer in the real world. You will need a solid foundation in Python and should understand the basics of machine learning. Also, you should have some expertise with machine learning libraries.