Feature Engineering with PySpark

Feature Engineering with PySpark is also one of the best online feature engineering courses. This is another feature engineering course by Datacamp. The real world is messy and your job is to make sense of it. Toy datasets like MTCars and Iris are the result of careful curation and cleaning, even so, the data needs to be transformed for it to be useful for powerful machine learning algorithms to extract meaning, forecast, classify, or cluster. This course will cover the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering. With the size of datasets now becoming ever larger, let's use PySpark to cut this Big Data problem down to size!

In this course, you will learn how to prepare and clean data and how to create new features for your machine learning model. Then you will learn how to build a machine learning model and how to evaluate the model.

This course offers:

• Flexible deadlines: Reset deadlines based on your availability.
• Get a Certificate when you complete
• 100% online
• Intermediate level
• This course is part of these tracks: Big Data with PySpark
• Approximately 4 hours to complete
• Subtitles: English

Enroll here: https://app.datacamp.com/learn/courses/feature-engineering-with-pyspark