REGRESSION — HOW, WHY, AND WHEN?
Author(s): Data Science meets Cyber Security Originally published on Towards AI. SUPERVISED MACHINE LEARNING — PART 2 REGRESSION: Image source: By author As we previously saw, the supervised part of machine learning is separated into two categories, and from those two categories, …
Linear Regression Math Intuitions
Author(s): Fernando Guzman Originally published on Towards AI. Linear regression is the simplest model in machine learning that in its original version describes the relationship between 2 variables. It stills important to understand linear regression concepts basis, because it is the base …
Understanding every bit of Dummy Variables — Must for AI and ML Engineers
Author(s): Supriya Ghosh Originally published on Towards AI. Top highlight Introduction Dummy variables are widely used in Data Science and Machine Learning due to the qualitative nature of dependent and independent variables. Qualitative includes categorical variables which mean variables can be classified …
What is sampling and why it’s important?
Author(s): Ibrahim Israfilov Originally published on Towards AI. Statistics Intro This article will cover the basic notions of econometrics and OLS which include the first steps before starting the analysis, namely testing the assumptions for the unbiasedness of OLS. No matter whether …
The Outlier Story — Leverage and Influential Point in Linear Regression
Author(s): Supriya Ghosh Originally published on Towards AI. Data Science Image by Will Myers on unsplash For understanding any Outliers and Unusual Observations in linear regression, it is important to understand a formal and basic definition of Linear regression. “Linear regression is …
Simple Linear Regression Tutorial for Machine Learning (ML)
Author(s): Pratik Shukla, Roberto Iriondo Source: Image by the Author. Diving into calculating a simple linear regression and linear best fit with code examples in Python and math in detail This tutorial’s code is available on Github and its full implementation as …
Regression Line with Mathematics for the Linear Regression
Author(s): Gul Ershad Originally published on Towards AI. The equation of Intercept a: 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 …
Gradient Descent v/s Normal Equation For Regression Problems
Author(s): Pushkara Sharma Originally published on Towards AI. Machine Learning Choosing the right algorithm to find the parameters that minimize the cost function Gradient Descent v/s Normal Equation In this article, we will see the actual difference between gradient descent and the …
Machine Learning (ML) Algorithms For Beginners with Code Examples in Python
Author(s): Pratik Shukla, Roberto Iriondo, Sherwin Chen Machine Learning Algorithms Tree | Source: Image authored by Sherwin Chen, please cite it accordingly whenever used. The citation can be found at the bottom of the article. Overview of the major machine learning algorithms …
Linear Regression Explained
Author(s): Daksh Trehan Originally published on Towards AI. Explaining Linear Regression as easy as it could be. Designed on canva.com by Daksh Trehan It is often the first machine-learning algorithm to be taught due to its fundamental nature. It is part of …
Linear Regression Explained
Author(s): Daksh Trehan Originally published on Towards AI. Explaining Linear Regression as easy as it could be. Designed on canva.com by Daksh Trehan It is often the first machine-learning algorithm to be taught due to its fundamental nature. It is part of …
Linear Regression from Scratch
Author(s): Nunzio Logallo Originally published on Towards AI. Photo by William Daigneault on Unsplash If you started to learn data science or machine learning, you have also heard about linear regression, but what is it and when should we use it? Linear …
Marketing Analytics (Part 1)
Author(s): Mishtert T Originally published on Towards AI. Simple Linear Regression Customer Lifetime Value (CLV) In marketing, customer lifetime value (CLV or often CLTV), lifetime customer value (LCV), or lifetime value (LTV) is a prediction of the net profit attributed to the …
Introduction To Linear Regression
Author(s): Manish Nayak Originally published on Towards AI. Introduction One of the simplest models of machine learning is linear regression, but linear models are building blocks of deep neural networks and they are really important. There are two main classes of supervised …
Analysis of the Learning Rate in Gradient Descent Algorithm Using Python
Author(s): Jalal Mansoori Originally published on Towards AI. In this tutorial, you’ll learn, implement, visualize the Performance of Gradient descent by trying different sets of learning rate values. Image by Author. Gradient Descent EquationWhat is Linear regression?What is Gradient Descent?Comparison between different …
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