Develop ML Models with Python and T-SQL

In this course, senior software engineer and instructor Sam Nasr guides you through the skills you need to leverage Python and T-SQL for building robust machine learning models. Discover how to set up your development environment, import data seamlessly into SQL Server, and prepare it for model training. Explore the fundamentals of various machine learning algorithms, data pre-processing techniques, and tuning hyperparameters for optimal performance. Learn how to use tools such as Visual Studio Code, Pandas, SQL Alchemy, and scikit-learn for effective model development and deployment. Plus, find out how to store, access, and manage version history of your trained models directly within your SQL Server database. By the end of the course, you will be equipped to train, evaluate, and deploy machine learning models adeptly, and implement best practices for data handling and model management.