- Machine Learning Methods
- Regression Analysis
- Python Programming
- Data Science
- Data Pipelines
- Machine Learning
- Data Transformation
- Predictive Modeling
- Applied Machine Learning
- Feature Engineering
- Model Deployment
- Data Preprocessing
Snowflake for Data Science: Intro to Snowpark ML for Python
Completed by Ritankar Mondal
August 9, 2024
2 hours (approximately)
Ritankar Mondal's account is verified. Coursera certifies their successful completion of Snowflake for Data Science: Intro to Snowpark ML for Python
What you will learn
Load data into Snowflake and setup Python workspace.
Transform data using Snowpark ML API and build a preprocessing pipeline.
Train an XGBoost model using the Snowpark ML Model API and deploy the model as a UDF for inference.
Skills you will gain
