Mastering Machine Learning: Course-1

Mastering Machine Learning: Course-1, available at Free, has an average rating of 4.2, with 17 lectures, based on 143 reviews, and has 7883 subscribers.

You will learn about Machine Learning Python Regression Classification Unsupervised Machine Learning This course is ideal for individuals who are Machine Learning Enthusiast or Students taking Machine Learning Course or Professionals working in the area of Data Analytics or Students preparing for placement tests and interviews or Excellent course for all the students of Non-IT Branches as it provides the basic knowledge of ML without any prerequisite It is particularly useful for Machine Learning Enthusiast or Students taking Machine Learning Course or Professionals working in the area of Data Analytics or Students preparing for placement tests and interviews or Excellent course for all the students of Non-IT Branches as it provides the basic knowledge of ML without any prerequisite.

Enroll now: Mastering Machine Learning: Course-1

Summary

Title: Mastering Machine Learning: Course-1

Price: Free

Average Rating: 4.2

Number of Lectures: 17

Number of Published Lectures: 17

Number of Curriculum Items: 17

Number of Published Curriculum Objects: 17

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Machine Learning
Python
Regression
Classification
Unsupervised Machine Learning

Who Should Attend

Machine Learning Enthusiast
Students taking Machine Learning Course
Professionals working in the area of Data Analytics
Students preparing for placement tests and interviews
Excellent course for all the students of Non-IT Branches as it provides the basic knowledge of ML without any prerequisite

Target Audiences

Machine Learning Enthusiast
Students taking Machine Learning Course
Professionals working in the area of Data Analytics
Students preparing for placement tests and interviews
Excellent course for all the students of Non-IT Branches as it provides the basic knowledge of ML without any prerequisite

This course will be a part of series of Free ML Courses to become an expert of ML. Presenting here its First Course on Machine Learning for becoming expert of ML.

This course presents the concepts of Supervised Machine Learning, Unsupervised Machine Learning, Regression and Classification.

It covers implementation of Simple Linear Regression.

Course Curriculum

Chapter 1: Introduction to Machine Learning

Lecture 1: Beginning with Machine Learning

Lecture 2: Regression: Supervised Machine Learning

Lecture 3: Classification: Supervised Machine Learning

Lecture 4: Unsupervised Machine Learning

Chapter 2: Simple Linear Regression

Lecture 1: Fitting Straight Line for Simple Linear Regression

Lecture 2: Cost Function for Simple Linear Regression

Chapter 3: Beginning with Python

Lecture 1: Python Libraries for Building ML Models

Lecture 2: Performing Data Selection with Pandas

Chapter 4: Implementing Simple Linear Regression

Lecture 1: Install Anaconda and Spyder to Implement Simple Linear Regression

Lecture 2: Dataset for Implementation of Simple Linear Regression

Lecture 3: Step 1: Importing the Libraries and the Dataset

Lecture 4: Step 2a: Train Test Split and Its Need for Implementation of SLR

Lecture 5: Step 2b: Performing Train Test Split for Implementation of SLR

Lecture 6: Step 3: Building the Model for Implementation of SLR

Lecture 7: Step 4: Predicting the Values on Test Data for Implementation of SLR

Lecture 8: Step 5: Visualization of Results for Implementation of SLR

Lecture 9: Step 6: Evaluating the model using Regression metrics for Implementation of SLR

Instructors

Parteek Bhatia
Professor, CSED, TIET, Patiala, India

Rating Distribution

1 stars: 1 votes
2 stars: 7 votes
3 stars: 20 votes
4 stars: 50 votes
5 stars: 65 votes

Frequently Asked Questions

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