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Courses>Programming Languages>Feature Engineering with PySpark
Data ScienceFeature Engineering with PySpark
Price:Paid
Length:4 Hours
Language:English
Content type:video
level:advanced
Updated:05 March 2024
Published:12 September 2022
Similar courses
Opportunities
Courses>Programming Languages>Feature Engineering with PySpark
Feature Engineering with PySpark
4 Hours
10391 students
Syllabus
Get to know a bit about your problem before you dive in! Then learn how to statistically and visually inspect your dataset!
Real data is rarely clean and ready for analysis. In this chapter learn to remove unneeded information, handle missing values and add additional data to your analysis.
In this chapter learn how to create new features for your machine learning model to learn from. We'll look at generating them by combining fields, extracting values from messy columns or encoding them for better results.
In this chapter we'll learn how to choose which type of model we want. Then we will learn how to apply our data to the model and evaluate it. Lastly, we'll learn how to interpret the results and save the model for later!
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Careertail
Courses>Programming Languages>Feature Engineering with PySpark
Data ScienceFeature Engineering with PySpark
Price:Paid
Length:4 Hours
Language:English
Content type:video
level:advanced
Updated:05 March 2024
Published:12 September 2022
Similar courses
Opportunities
Courses>Programming Languages>Feature Engineering with PySpark
Feature Engineering with PySpark
4 Hours
10391 students
Syllabus
Get to know a bit about your problem before you dive in! Then learn how to statistically and visually inspect your dataset!
Real data is rarely clean and ready for analysis. In this chapter learn to remove unneeded information, handle missing values and add additional data to your analysis.
In this chapter learn how to create new features for your machine learning model to learn from. We'll look at generating them by combining fields, extracting values from messy columns or encoding them for better results.
In this chapter we'll learn how to choose which type of model we want. Then we will learn how to apply our data to the model and evaluate it. Lastly, we'll learn how to interpret the results and save the model for later!
Similar courses
Opportunities
Make the most out of your online education
Careertail
Copyright © 2021 Careertail.
All rights reserved
Quick Links
Get StartedLog InAbout UsCourses
Company
BlogContactsPrivacy PolicyCookie PolicyTerms and Conditions
Stay up to date
Trustpilot