Snowflake for Data Science: Intro to Snowpark ML for Python

via Coursera

Overview

Discover the power of merging Snowflake's data cloud with Python in our upcoming event, "Snowflake for Data Science: Intro to Snowpark ML for Python". This engaging 2-hour guided project is designed to arm data scientists with the tools needed to develop a comprehensive machine learning workflow encompassing data preprocessing, model training, and deployment using Snowpark ML for Python.

Throughout this project, participants will gain hands-on experience in loading and setting up their Python workspace within Snowflake, transforming data using Snowpark ML API, creating an effective preprocessing pipeline, and training an XGBoost model. The final stages will focus on deploying this model as a UDF (User-Defined Function) for practical inference applications.

Participants will assume the role of a data scientist working for a distinguished Diamond retailer, aiming to refine the estimation of diamond prices. Utilizing a dataset enriched with features like Carat, Weight, and Cut Quality, you will develop a predictive model which provides invaluable price recommendations, thereby elevating sales performance.

This immersive project not only enhances your skills in Snowflake and Python but also prepares you for real-world data science challenges. Hosted by Coursera, this project falls under multiple categories including Python Courses, Data Science Courses, XGBoost Courses, Business Analysis Courses, and Snowflake Courses. Ideal for those with an intermediate level of Python expertise and previous experience with Snowflake, this project presents a unique opportunity to advance your data science prowess.

Do not miss out on this chance to transform your understanding of machine learning within the realms of Snowflake and Python. Join us for a transformative learning experience!