Course Topics

Level 1 : Technical and Non-Technical Community

Chapter 1 – Introduction to Machine Learning

  • Introduction to AI and Machine Learning
  • Supervised, Semi-Supervised, Un-Supervised ML
  • Classification, Regression and Clustering in ML
Summary and Interactive Quiz

Chapter 2 – Introduction to Azure ML

  • Azure ML overview and High Level Architecture
  • Azure ML Studio
  • Azure ML Data Processing
Summary and Interactive Quiz
Level 2 : Technical Community

Chapter 3 – Classification using Azure ML

  • Logistic Regression
  • Decision Tree
  • Decision Forest
  • SVM
Summary and Interactive Quiz

Chapter 4 – Regression Analysis using Azure ML

  • Linear Regression
  • Gradient Descent
  • Regression Tree
Summary and Interactive Quiz

Chapter 5 - Recommendation System using Azure ML

  • Introduction
  • Data Preparation using Recommender Split
  • Matchbox Recommender and Train Matchbox Recommender
Summary and Interactive Quiz

Chapter 6 - Text Analysis and Natural Language Processing

  • Introduction
  • Text Pre-Processing
  • Bag Of Words and N-Gram Models
  • Feature Hashing
Summary and Interactive Quiz

Chapter 7 - Clustering and Feature Selection

  • Cluster Analysis
  • Introduction to Feature Selection
  • Pearson Correlation Coefficient
  • Kendall Correlation Coefficient
  • Spearman's Rank Correlation
  • Chi Square Test of Independence
Summary and Interactive Quiz

Chapter 8 - Webservice in Azure ML

  • Overview
  • Deploy Machine Learning Model As a Web Service
Summary and Interactive Quiz

Chapter 9 - Mini Assignment

Assignment to be done offline and submitted to the trainer for evaluation and feedback.