Course Curriculum

• Module 1

  • Introduction of Course Preview
  • Math for Machine Learning – Statistics Basics
  • Assignment 1

• Module 2

  • Math for Machine Learning – Analyzing Data using Statistics & Probabilistic Analysis
  • Introduction to Python programming for Course
  • Assignment 2

• Module 3

  • Python for Data handling – numpy and Pandas
  • Python for Data Handling – pandas Data Visualization with matplotlib and seaborn
  • Assignment 3

• Module 4

  • Linear Regression
  • Logistic Regression
  • Assignment 4

• Module 5

  • KNN and Decision Tree
  • Decision Tree and Random Forest
  • Artificial Neural Networks
  • Assignment 5

• Module 6

  • Support Vector Machines
  • Image Processing with Opencv
  • Assignment 6

• Module 7

  • Time Series Prediction
  • Unsupervised Learning – Clustering
  • Principal Component Analysis and Anomaly Detection
  • Assignment 7

• Module 8

  • Natural Language Processing
  • Assignment 8
  • Project Works