INTRODUCTION TO MACHINE LEARNING

Program Description

Machine Learning is the study of computer algorithms and programs that are said to improve automatically through experience. In recent years, machine learning has become increasingly important with its usage in building recommendation systems for online services like video streaming giant Netflix, online shopping services like Amazon, building self-driving cars such as Tesla, web searches like Google search, etc.

In this course, you will be introduced to building blocks of Supervised Machine Learning. You'll learn the basics of machine learning and application of statistics, linear regression and classification techniques in the real – world machine learning problems. In this 8 weeks' course, you'll gain enough exposure to apply the theoretical knowledge of machine learning and data driven decision making to solve real world machine learning problems by working on a Project that will be one of the deliverables of this course.

Machine Learning Course Key Features
  • Gain expertise with 25+ hands-on exercises

  • Dedicated mentoring sessions from industry experts

  • 4 real-life industry projects with integrated labs

  • Real time instructor-led training with certification


Curriculum

  • Introduction to Machine Learning

  • Basics in Python programming

  • Basic Statistics and Visualization

  • Single Variate Linear Regression

  • Multi-variate Linear Regression

  • Project on " To predict the impact of different advertising channels on Sales"

  • Project monitoring

  • Project submission

  • Project evaluation and discussion

  • Logistic Regression (Binary and Multi-class)

  • Linear and Quadratic discriminant analysis

  • Project on "Forecasting Stock market returns"

  • Monitoring Project's progress and discussion

  • Project submission

  • Project evaluation and discussion

  • Student Project presentation