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The work shown in this repository is part of the Udacity scholarship program in collaboration with Microsoft for Machine Learning Engineer Nanodegree.

Python 2.05% Jupyter Notebook 97.04% Shell 0.91%

udacity-azure-ml-scholarship's Introduction

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

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

Python Code

Tableau Dashboard

Intoduction to Data Literacy - Presentation

Phase-II Projects

Optimizing an ML Pipeline in Azure

Operationalizing Machine Learning (MLOps)

udacity-azure-ml-scholarship's People

Contributors

Watchers

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