Udacity-Azure-ML-Scholarship

Phase-I Participation

Visual Challenge

Blogs

Feature Selection

Trade-Off in Machine Learning

Azure-ML HandsOn

Regression Model: Item-Outlet Sales Prediction

Two-class Clasification Model: Employee Promotion Prediction

Webinars

Feature Engineering

Different Tasks of Feature Engineering

1. Aggregation - SUM, AVG, COUNT, etc. to aggregate values based on one or more dimensions.
2. Part-Of - Extracting the year,month,day from Date dimension.
3. Binning - Grouping customers by age & then calculating a numeric value within each bin(group).
4. Flagging - Deriving a boolean value.
5. Frequency Based Feature Enginnering
6. Embedding / Feature learning

Python Code

Tableau Dashboard

Intoduction to Data Literacy - Presentation

Phase-II Projects

Optimizing an ML Pipeline in Azure

Project 1

Operationalizing Machine Learning (MLOps)

Project 2