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Autor Tópico: Everything about linear regression  (Lida 80 vezes)

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Everything about linear regression
« em: 08 de Julho de 2021, 11:09 »
MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 613 MB | Duration: 1h 22m

What you'll learn
Linear Regression
Visualising Data
Machine learning libraries
Requirements
Python Programming
Basic understanding of coding
Description
Hi , and welcome to the Everything about linear regression Course

Are you someone who is new to machine learning ?

Are you someone who wants to get started with machine learning ?

YES?

Then this course is for you -->

Machine learning which is a buzz word has been in the market for quite some time now , and to start with machine learning the basic algorithm which everyone focuses on is linear regression . In this course we will start with linear regression and all about it , then we will dive straight into the project whose dataset i have taken from kaggle . We will be using the dataset , visualising it and making predictions from it .

Let us look at what you'll be requiring throught the course -

Materials Required -

Mac or Windows

At least 4 gb ram

Good coding skills

Python language

Zeal to learn

In this course you'll learn -

What is Linear Regression

Types of linear regression

Visualising data

applying linear regression to real time datasets

What is gradient descent algorithm ?

What is cost function ?

How to calculate R2 Score

I believe in the concept of "Learn by doing " and this is emphasised in my class , I myself learn by doing things instead of listening to boring lectures !

You'll be able to use real time datasets after this class and learn all the necessary components required for getting started with machine learning

Will it be challenging ? YES

Will you get difficulty in understanding things ? YES (if you are a beginner)

But that is what my course is for , it will help you make an app in quick time and you will surely learn many things going forward !

Good luck !

Who this course is for:
Beginners who want to learn a machine learning algorithm

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