Machine Learning Linear Regression Case Study

Machine Learning Linear Regression Case Study, available at Free, has an average rating of 3.9, with 7 lectures, based on 117 reviews, and has 7776 subscribers.

You will learn about Introduction to Machine Learning and linear regression from scratch Predicting Boston house price with Regression !! This course is ideal for individuals who are Python developers curious about Machine Learning. or Data Science and Machine leaning engineers. It is particularly useful for Python developers curious about Machine Learning. or Data Science and Machine leaning engineers.

Enroll now: Machine Learning Linear Regression Case Study

Summary

Title: Machine Learning Linear Regression Case Study

Price: Free

Average Rating: 3.9

Number of Lectures: 7

Number of Published Lectures: 6

Number of Curriculum Items: 7

Number of Published Curriculum Objects: 6

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Introduction to Machine Learning and linear regression from scratch
Predicting Boston house price with Regression !!

Who Should Attend

Python developers curious about Machine Learning.
Data Science and Machine leaning engineers.

Target Audiences

Python developers curious about Machine Learning.
Data Science and Machine leaning engineers.

We have covered-

What is Machine Learning and how does it works?

Machine Learning concept such as Train Test Split, Machine Learning Models, Model Evaluation are also covered.

Linear Regression Concept with simple regression model using Scikit Learn Library.

What are the types of Regressions?

Case Study-Boston house price prediction-predicts the price of houses in Boston using a machine learning algorithm called Linear Regression. To train our machine learning model ,we will be using scikit-learn’s boston dataset.

Analyse and visualize data using Linear Regression.

Plot the graph of results of Linear Regression to visually analyze the results.

Linear regression is starting point for a data science this course focus is on making your foundation strong for deep learning and machine learning algorithms.

End of the course you will be able to code your own regression algorithm from scratch.

After completing this course you will be able to:

Interpret and Explain machine learning models which are treated as a black-box
Create an accurate Linear Regression model in python and visually analyze it
Select the best features for a business problem
Remove outliers and variable transformations for better performance
Confidently solve and explain regression problems

This course will give you a very solid foundation in machine learning. You will be able to use the concepts of this course in other machine learning models.

Course Curriculum

Chapter 1: Machine Learning Introduction

Lecture 1: What is Machine Learning

Chapter 2: Linear Regression Introduction

Lecture 1: Linear Regression Introduction

Lecture 2: Simple Linear Model

Lecture 3: Model creation and Visualizations and save model

Chapter 3: Predicting Boston house price with Regression !!

Lecture 1: Boston Housing Price Data Processing

Lecture 2: Boston Model Creation and Prediction

Instructors

Goeduhub Technologies
Technical Training Provider Company.

Rating Distribution

1 stars: 3 votes
2 stars: 3 votes
3 stars: 19 votes
4 stars: 40 votes
5 stars: 52 votes

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!

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