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Linear Regression Models

Towards Data Science

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

Regressions Models 101

Becoming Human: Artificial Intelligence Magazine

I heard a podcast from “Master in Business” where the host, Barry Ritholtz, and the interviewee, Howard Marks, mentioned that writing helps us illustrate what we know and we don’t know. One of my…

Regression Analysis

Analytics Vidhya

Regression analysis answers questions about relationship between two or more variables. There are many regression techniques but at their core they all investigate one thing: the influence of one or…

Regression

Elements of Data Science

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...

Basic Regression Models

Analytics Vidhya

When we talk about Machine Learning algorithms, we often think of classification problems. Indeed, the most common problems in machine learning are about classification, mainly because predicting a…

Application of various regression models

Analytics Vidhya

In this project we will cover various Regression models. For this project I have used Auto-MPG dataset from UCI machine learning repository. There are 9 attributes: 1.mpg: continuous 2. cylinders… reg...

The Three Regressions

Analytics Vidhya

When I first started my journey with Data Science and Machine Learning, I was overwhelmed by the sheer amount of information that was available on the internet. Overtime I realized that the majority…

Linear Regression

Analytics Vidhya

Regression analysis is a powerful statistical method that allows you to examine the relationship between two or more variables of interest. Regression analysis is a reliable method of identifying…

It’s all about regression — Part 1

Analytics Vidhya

In this series consisting of multiple blogs we are going to look into regression models. This is going to be different that a lot of other regression tutorials / lectures you might have seen online…

Machine Learning : Regression

Analytics Vidhya

What is Regression? In statistical modelling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called the ‘outcome variable’)…...

REGRESSION MODEL

Analytics Vidhya

In this article we will see how a regression model is build in Python. First, let us talk about what Regression analysis actually means.. Regression Analysis focuses on relationship between a…

Linear Regression

Dive intro Deep Learning Book

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...

The 3 Key Variations of Linear Regression

Towards AI

The first predictive model built in any project is typically a regression. The mother of all “white-box models,” a linear regression… Continue reading on Towards AI

10 Important Regression Questions You Should Know

The Pythoneers

Check Your Knowledge By Solving These Questions Continue reading on The Pythoneers

REGRESSION — HOW, WHY, AND WHEN?

Towards AI

REGRESSION — HOW, WHY, AND WHEN? SUPERVISED MACHINE LEARNING — PART 2 REGRESSION: Image source: By author As we previously saw, the supervised part of machine learning is separated into two categorie...

Understanding Regression Models

Analytics Vidhya

Linear regression comes from the equation for a line, y=mx+c, where y is the dependent variable which changes according to x, which is the independent variable. C is the y intercept and m is the…

Machine Learning Models-Linear Regression

Analytics Vidhya

If you are a beginner in Data Science or machine learning then this is the most common model that you will encounter as a beginner. Linear Regression is the oldest, simple and widely used supervised…

Linear Regression

Machine Learning Glossary

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

Linear Regression: A Brief Comparison

Analytics Vidhya

What is Regression, its a term many of you might have heard along the way, but what exactly is it? In the simplest terms possible it is a statistical process that aims at establishing a working…

Chapter 11 Regression

Think Stats

The linear least squares fit in the previous chapter is an example of regression , which is the more general problem of fitting any kind of model to any kind of data. This use of the term “regression”...

Basics and Beyond: Linear Regression

Analytics Vidhya

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…

Simple Linear Regression — 7

Analytics Vidhya

The workhorse of statistical analysis is the linear model, particularly regression. Originally invented by Francis Galton to study the relationships between parents and children, which he described…

Your Guide to Linear Regression Models

Towards Data Science

Interpretability is one of the biggest challenges in machine learning. A model has more interpretability than another one if its decisions are easier for a human to comprehend. Some models are so…

5 Types of Regression and their properties

Towards Data Science

Linear and Logistic regressions are usually the first modeling algorithms that people learn for Machine Learning and Data Science. Both are great since they’re easy to use and interpret. However…