Why Attend This Workshop?
You will practice data science workflow by exploring data, creating features and building models.
Also tracking and managing model with MLflow.
Things You'll will Learn
Upon Completion of the course, students should be able to:
Machine Learning Problem Solving
- Machine Learning Intro
- Types of ML
- Lifecycle of ML
- Data Preprocessing
- Data Cleansing - Lab (Optional)
Regression Analysis in Practice
- Introduction to Regression Concept
- OLS vs Ensemble Models
- Use Case for Regression
- Regression – Lab
Classification Analysis in Action
- Introduction to Classification Problem
- Difference in Logistic Classifier vs Ensemble Models
- Use Case for Classification
- Classification – Lab
Machine Learning Model Deployment Using Mlflow
- Mlflow Tracking
- Mlflow Project
- Mlflow Models
- Mlflow Registry
- MLflow Lab
Every Thursday | 11:00am – 3:00pm CST
Data Science with Databricks
Register For Workshop
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