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#### Linear Regression

Linear regression is one of the oldest but still quite powerful algorithms. While solving any regression problem, the first idea that comes to the mind of any data science practitioner is to create a…...

Read more at Towards Data Science#### Linear Regression

Linear Regression Introduction Simple regression Making predictions Cost function Gradient descent Training Model evaluation Summary Multivariable regression Growing complexity Normalization Making pr...

Read more at Machine Learning Glossary#### Linear Regression

A linear regression model predicts the target as a weighted sum of the feature inputs. The linearity of the learned relationship makes the interpretation easy. Linear regression models have long been ...

Read more at Christophm Interpretable Machine Learning Book#### Linear Regression — Part I

Linear Regression is a linear approach to model the relationship between a two or more variables by fitting a straight line i.e. linear, to predict the output for the given input data. To research…

Read more at Analytics Vidhya#### Linear Regression

Regression problems pop up whenever we want to predict a numerical value. Common examples include predicting prices (of homes, stocks, etc.), predicting the length of stay (for patients in the hospita...

Read more at Dive intro Deep Learning Book#### The Basics: Linear Regression

Linear regression models are for many the first predictive models covered. While conceptually simple, they have some key features that make them flexible, powerful and explicable. While newer and…

Read more at Towards Data Science#### Simple Linear Regression

People who are afraid of maths and statistics. Don’t be anymore cuz I am too afraid of it but when came across the maths behind it and every calculation is done by packages and modules why take the…

Read more at Analytics Vidhya#### Basics and Beyond: Linear Regression

This post will walk you through linear regression from the very basics. When starting off with machine learning Linear Regression is probably one of the first topics that one comes across and…

Read more at Analytics Vidhya#### What is Linear Regression? Part:2

In any business there are some easy to measure variables like Age, Gender, Income, Education Level etc. and there are some difficult to measure variables like the amount of loan to give, no of days a…...

Read more at Towards Data Science#### Linear Regression 101

In this post, I would like to talk about one of the simplest Machine Learning algorithms - Linear Regression. I will try to explain this model in simple layman terms using a real-life example. Let us…...

Read more at Towards Data Science#### Linear Regression- Machine Learning

Linear regression is one of the easiest and most popular Machine Learning algorithms. It is a statistical method that is used for predictive analysis. Linear regression makes predictions for…

Read more at Analytics Vidhya#### Linear regression: the basics

Regression techniques help you measure the extent to which variables are related. They allow you to say, for instance, that “for each square meter in a house, it will cost an extra $6,000” (in this…

Read more at Towards Data Science#### Linear Regression in Machine Learning

1\. Introduction to Linear Regression 1.1. Definition of Linear Regression Linear regression is a fundamental algorithm in machine learning and statistics. It’s a type of predictive modelling techniq...

Read more at Python in Plain English#### Simple linear regression

Linear regression is one of the most popular and simplest machine learning models that capture the relationship between two or more features. The objective of linear regression is to draw a line of be...

Read more at Skytowner Guides on Machine Learning#### Linear Regression Models

This article discusses the basics of linear regression using Python and SciKit-Learn, including ordinary least squares, ridge, lasso, and elastic-net.

Read more at Towards Data Science#### Linear Regression - Overview

Linear Regression - Overview How can I make predictions about real-world quantities, like sales or life expectancy? Most often in real world applications we need to understand how one variable is dete...

Read more at Learn Data Science#### ML 101: Linear Regression

Have you ever wondered how scientists can predict things like the weather, how economists predict how well the economy will do in the future or how bots can infer the sentiment of tweets? The secret…

Read more at Towards Data Science#### Machine Learning 101: Linear Regression

Machine learning and data science have come a long way since being described as the “sexiest job of the 21st century” — we now have very powerful deep learning models capable of self driving…

Read more at Towards Data Science#### Machine Learning 101: Linear Regression

Photo by Sam Moghadam Khamseh on Unsplash Machine learning is a powerful field of study that enables computers to learn patterns and make predictions from data. One popular technique in machine learni...

Read more at Python in Plain English#### Behind the Scenes: Linear Regression

In any prediction what we are trying to do is model a true phenomenon about which we can only make observations. We don’t know the exact mechanism To know anything about YTrue we have to know about…

Read more at Analytics Vidhya#### Under the hood — Linear Regression

This is the first article in a series of articles where we will understand the “under the hood” workings of various ML algorithms, using their base math equations. With so many optimized…

Read more at Towards Data Science#### Linear Regression In Depth (Part 1)

Deep Dive into the Theory and Implementation of Linear Regression Models Continue reading on Towards Data Science

Read more at Towards Data Science#### Regression

Click here to run this notebook on Colab or click here to download it . In the previous chapter we used simple regression to quantify the relationship between two variables. In this chapter we’ll get...

Read more at Elements of Data Science#### A Simple Linear Regression Model

Regression analysis is a powerful statistical method that enables examination between variables of interest. It can be utilised to assess the strength of the relationship between variables, and…

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