Getting Started with Machine Learning

Getting Started with Machine Learning, available at Free, has an average rating of 3.71, with 7 lectures, based on 507 reviews, and has 12730 subscribers.

You will learn about Machine Learning Implementation and its basic concepts This course is ideal for individuals who are Begginer Python developers who want to get started with Machine Learning It is particularly useful for Begginer Python developers who want to get started with Machine Learning.

Enroll now: Getting Started with Machine Learning

Summary

Title: Getting Started with Machine Learning

Price: Free

Average Rating: 3.71

Number of Lectures: 7

Number of Published Lectures: 7

Number of Curriculum Items: 7

Number of Published Curriculum Objects: 7

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Who Should Attend

Target Audiences

This course is especially for beginners who want to get started their journey in the field of machine learning.  This course provides the hands-on experience with the python and scikit learn. So if you are new to the machine learning Get started with this course will be a good choice.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course Agenda Introduction

Lecture 2: Introduction

Lecture 3: Types of Machine Learning

Chapter 2: Supervised Learning

Lecture 1: Implementation of Linear Regression Single Variable

Lecture 2: Mathematics behind the Linear Regression

Lecture 3: Teach a machine to calculate two Numbers using Artificial Intelligence in 3 Step

Chapter 3: Unsupervised Learning

Lecture 1: Kmeans Clustering Algorithm

Instructors

Kabir Narayan Jha
Software Engineer & Content Creator | Ex Capgemini

Rating Distribution

Frequently Asked Questions

How long do I have access to the course materials?

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

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!