Machine Learning through Case Studies for Beginners

Machine Learning through Case Studies for Beginners, available at Free, has an average rating of 4.35, with 5 lectures, based on 119 reviews, and has 2717 subscribers.

You will learn about Get a comprehensive understanding of what Machine Learning is Experience Machine Learning in practice through real world case studies Get a broad overview of different Machine Learning models This course is ideal for individuals who are Any software developer wanting to begin their journey in Machine Learning and Artificial Intelligence It is particularly useful for Any software developer wanting to begin their journey in Machine Learning and Artificial Intelligence.

Enroll now: Machine Learning through Case Studies for Beginners

Summary

Title: Machine Learning through Case Studies for Beginners

Price: Free

Average Rating: 4.35

Number of Lectures: 5

Number of Published Lectures: 5

Number of Curriculum Items: 5

Number of Published Curriculum Objects: 5

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Who Should Attend

Target Audiences

Are you a beginner looking to get started with Machine Learning? This course offers a gentle introduction to Machine Learning through real world case studies as you invent your first Machine Learning algorithm.

This course gives you a broad overview of the variety of Machine Learning models and provides a learning ladder to continue learning. It also presents applications that use Machine Learning and details a plethora of techniques that are used to evolve Machine Learning models from data.

This course presents data for a simple case study of classifying emails automatically. It provides the data set, identifies features ans labels and presents the intuition behind any Machine Learning algorithm. The course goes on to talk about both the (i) Supervised and (ii) Unsupervised learning models. It presents an analysis of over fitting and under fitting in models.

The course aims to motivate a beginner to get started with their Machine Learning journey. This course will be further supplemented with focused sessions on various regression, classification and clustering algorithms.

The subsequent sessions will get in to the Math behind the algorithm while solving a real world case study. Students who continue this course through the recommended ladder will eventually have the skills to build and deploy Machine Learning models to production.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Getting Started

Lecture 2: Introduction to Machine Learning

Lecture 3: Email Classification Case Study

Lecture 4: Machine Learning Landscape

Lecture 5: Summary and Recap

Instructors

Arun Panayappan
Data Scientist and Trainer

Rating Distribution

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

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