Navigating PySpark MLlib Essentials

Data

658 learners

Explore PySpark MLlib and develop essential machine learning skills. Prepare datasets, train models, make predictions, and evaluate performance, gaining confidence in deploying models with PySpark's powerful MLlib capabilities.

Python

Spark

See path

4 lessons

17 practices

2 hours

Data Ingestion and Extraction

Course details

Preparing Dataset with MLlib

Preview

Complete the Data Preprocessing

Adjust Dataset Split Ratio

Fixing PySpark Preprocessing Issues

Convert Categorical Labels with StringIndexer

Master Feature Vectorization with MLlib

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From our community

Hear what our customers have to say about CodeSignal Learn

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11

I love that it's personalized. When I'm stuck, I don't have to hope my Google searches come out successful. The AI mentor Cosmo knows exactly what I need.

Faith Yim

Software Engineer

+14

It's an amazing product and exceeded my expectations, helping me prepare for my job interviews. Hands-on learning requires you to actually know what you are doing.

Alex Bush

Full Stack Engineer

I'm really impressed by the AI tutor Cosmo's feedback about my code. It's honestly kind of insane to me that it's so targeted and specific.

Abbey Helterbran

Tech consultant

I tried Leetcode but it was too disorganized. CodeSignal covers all the topics I'm interested in and is way more structured.

Jonathan Miller

Senior Machine Learning Engineer

+12

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11