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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...
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Linear Regression
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…
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REGRESSION — HOW, WHY, AND WHEN?
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...
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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...
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Machine Learning : Regression
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’)…...
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It’s all about regression — Part 1
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…
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Regression Analysis
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…
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Chapter 11 Regression
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”...
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Linear Regression
Linear Regression Introduction Simple regression Making predictions Cost function Gradient descent Training Model evaluation Summary Multivariable regression Growing complexity Normalization Making pr...
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Linear Regression: A Brief Comparison
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…
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Data Science the smart way: Regression
We are all aware of the fact that Data is going to rule humanity’s future. The knowledge of data and building intelligence using data is very important. But learning Data Science can be intimidating…
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Regression A-Z Briefly Explained
Quick and Remindful Cheatsheet for refreshing Photo by charlesdeluvio on Unsplash Regression is one of the famous terms in Machine Learning. If you want to dive into machine learning, regression and ...
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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…
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A Deep Dive Into The Concept of Regression
Regression is one of the most important concepts used in machine learning. In this blog, we are going to talk about different types of regressions and the underlying concepts. Regression tasks deal…
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Polynomial Regression
Linear regression is an awesome tool for predicting continuous values. If X explains Y in a linear fashion then linear regression is a safe bet to predict future values. But the relationship needs to…...
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A comprehensive guide to Linear Regression
Before understanding what is regression, let us first understand two important terms — Correlation and Causation or Causal relationship. Correlation — It is the phenomenon which helps us understand…
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Advanced Regression
Linear regression; Inference about Slope in Linear Regression; Fitting a Regression Line from Scratch; Confidence Interval of the Slope; Nonlinear Regression
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Linear Regression in Machine Learning
Regression is the method used to predict the continuous variable in the target column or dependent variable based on independent features. It falls under the supervised technique. It is a statistical…...
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Linear Regression the simplest*** way.
Linear Regression’s purpose is to measure to what extent there is a linear relationship between two variables. In particular, the purpose of linear regression is to “predict” the value of the…
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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…
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Linear regression: the final frontier
This article aims to introduce some more advanced linear regression techniques that can dramatically improve your model results. If you haven’t mastered the basics of linear regression yet, I suggest…...
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The Three Regressions
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…
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Fundamentals of regression: what, why and how
Let’s say you have a record of 5 students in a swimming class with their ages and heights as follows. Then a new student, Kevin, (student 6) joined in, whose age is 5. But his height is unknown…
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Regressions Models 101
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…
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