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Machine Learning is getting popular day-by-day. It is not a hype but an essential technique made possible and powerful by availability of data. Learning Machine Learning is imperative and Python is a good programming environment to get started with the basics. This course will cover a breadth of topics of Machine Learning with programming in Python. Salient topics are: - Background of Machine Learning - Types of Machine Learning - Overview of popular techniques such as Regression, Classification, Clustering. - Test-case implementation using Python Scikit-Learn.
Duration
4 hours
Difficulty
novice
INE's world-class IT trainingInstructor for this course
Yogesh Kulkarni
PhD
This course is composed by the following modules
INE's world-class IT training
Module 1
Introduction1 video
Course Introduction
Module 2
Core Topics12 videos
Background
Core Idea
Overview
Major AI Approaches
Machine Learning
Types of Machine learning
Popular Algorithms
Machine Learning Theory
Machine Learning Evaluation
Generalization
Scikit Learn (Sklearn)
Testcase
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