regression models
Causal Models for Regression
Regression is the most widely implemented statistical tool in the social sciences and readily available in most off-the-shelf software. Because the statistics behind regression is pretty…
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Application of various regression models
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...
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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.
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Linear Regression Model with Python
Regression models are widely used machine learning tools allowing us to make predictions from data by learning the relationship between features and continuous-valued outcomes. Checking model…
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Regularized Linear Regression Models
Part One of Three: Introduction, Linear Regression Modeling, and Ordinary Least Squares (OLS) | Deep-dive on some of the most popular supervised machine learning algorithms
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Linear Regression Deep Dive
Linear Regression is one of the simplest and widely used models for regression modeling. It is models the relationship between a continuous, dependent variable Y and independent variable(s) X by…
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A Step-by-Step Guide to Regression Modeling
Regression analysis is a set of statistical processes designed to estimate the relationship between a dependent variable (target, outcome variable, y) and independent variables (predictors, features…
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Linear Regression with Gradient Descent
In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships among variables. It includes many techniques for modeling and analyzing several…
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Regression Line with Mathematics for the Linear Regression
Regression is a prediction where the target is continuous and its applications are several. It is the simplest parametric model. Every data-set is given in a pair consisting of an input feature…
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Robust Regression: All You Need to Know & an Example in Python
Regression models are used to predict a numerical value (dependent variable) given a set of input variables (independent variables). The most famous model of the family is the linear regression [2]…
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Understanding Regression Models
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…
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What is “linear” regression model?
Linear regression model is one of the simplest models in the realms of machine learning and statistics. That being said, linearity assumption behind linear regression is often understood…
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