Machine Learning Models in Power BI

Machine Learning Models in Power BI

Develop AutoML and Manual Machine Learning Solutions with Power BI

Course Overview:
This comprehensive course aims to introduce participants to the intricacies of integrating Machine Learning models within Power BI. It provides a balanced approach, focusing on both automated machine learning (AutoML) solutions and manual model development from scratch.

Agenda:

1. Data Wrangling
   • Fundamental concepts and techniques
2. Unsupervised Machine Learning (Clustering)
   • Introduction to clustering methods
   • AutoML solutions for clustering
   • Developing clustering models from scratch
   • Dashboard development for clustering insights
3. Supervised Machine Learning
   • Introduction to regression and classification methods
   • AutoML solutions for regression and classification
   • Developing regression and classification models from scratch
   • Dashboard development for supervised learning insights

Key Learning Outcomes:

• Understand the difference between AutoML and manual machine learning approaches.
• Acquire skills in various machine learning techniques.
• Engage in hands-on Python code development for machine learning.
• Master model development, training, and optimization.
• Enhance your data visualization skills within Power BI.
• Learn the art of feature selection to improve model accuracy.
• Work on three distinct dashboard projects to showcase your newfound expertise.