- Machine Learning Pipelines
- hyperparameter tuning
- PySpark
- Cross Validation
Building Machine Learning Pipelines in PySpark MLlib
Completed by Harshit Yadav
March 26, 2021
1.5 hours
Harshit Yadav's account is verified. Coursera certifies their successful completion of Building Machine Learning Pipelines in PySpark MLlib
What you will learn
Learn how to create a Random Forest pipeline in PySpark
Learn how to choose best model parameters using Cross Validation and Hyperparameter tuning in PySpark
Learn how to create predictions and assess model's performance in PySpark
Skills you will gain
