Machine Learning aims to design, understand and apply computer programs that learn from experience (data) for the purpose of modelling, prediction and control. It is the field of study that provides computers the capability to learn without being explicitly programmed to do so. The applications of machine learning are so pervasive that people often use it in their day to day lives without realising. Here, learning means recognizing and understanding the input data and making wise decisions based on the supplied data.
In this Machine learning Course, you will learn about the most important machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you’ll learn about not only the theoretical concepts but also gain the practical know-how needed to quickly and powerfully apply these techniques to problems. You’ll learn more about the stages of machine learning from pre – processing to designing a model based on requirements.
Pre-Requisites – Basic python, Algorithm design, Basics of probability and statistics