Data
274 learners
Navigating PySpark MLlib Essentials
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
4 lessons
17 practices
2 hours
Data Ingestion and Extraction
Course details
Complete the Data Preprocessing
Adjust Dataset Split Ratio
Fixing PySpark Preprocessing Issues
Convert Categorical Labels with StringIndexer
Master Feature Vectorization with MLlib
Meet Cosmo:
The smartest AI guide in the universe
Our built-in AI guide and tutor, Cosmo, prompts you with challenges that are built just for you and unblocks you when you get stuck.
Join the 1M+ learners on CodeSignal
Be a part of our community of 1M+ users who develop and demonstrate their skills on CodeSignal
