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Areas Served: From Data to Dollars: Using Linear Regression
Author(s): Roli Trivedi Originally published on Towards AI. Unraveling the Magic Behind Predictive Analytics Photo by PiggyBank on Unsplash Data-driven decision-making has become a game-changer for businesses in every industry. From optimizing marketing strategies to predicting customer behavior, data holds the key …
Knowing Linear Regression better!!
Author(s): Charanraj Shetty Originally published on Towards AI. Statistics OLS and Gradient Descent Source Regression Introduction Regression is an Algorithm of the Supervised Learning model. When the output or the dependent feature is continuous and labeled then, we apply the Regression Algorithm. …
Helping Bloom E-Commerce Business Using Linear Regression — Python
Author(s): Jayashree domala Originally published on Towards AI. Data Science A guide to understanding and implementing linear regression. Source: Author What is the history of linear regression? In the 1800s, a person named Francis Galton was studying the relationship between parents and …
Prediction of Relative Locations of CT Slices in CT Images
Author(s): Avishek Nag Originally published on Towards AI. Predicting the relative location of CT slices on the axial axis of the human body using regression techniques on very high-dimensional data Regression is one of the most fundamental techniques in Machine Learning. In …
Linear Regression Analysis in Materials Sciences
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Parabolic fit of the conduction band of MoS2 crystal. This code performs linear regression on simulated band structure data for MoS2 crystal. The band structure of MoS2 was calculated in a previous …
Data Science 101 — A Short Course on Medium Platform with R and Python Code Included
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Data Science 101 is intended for individuals that have some prior exposure or knowledge in data science concepts and are interested in practical applications beyond what is offered in most introductory-level data …
Training a Machine Learning Model on a Dataset with Highly-Correlated Features
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. 1. Import necessary libraries In the previous article (Feature Selection and Dimensionality Reduction Using Covariance Matrix Plot), we’ve shown that a covariance matrix plot can be used for feature selection and dimensionality …
Machine learning model for predicting medium writer earnings
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. On October 22, 2019, Medium unveiled a new model for calculating writer’s earnings. According to this new model, earnings will be calculated based on the reading time of Medium members. You may …
Databricks MLflow Tracking For Linear Regression Model
Author(s): Amy @GrabNGoInfo Originally published on Towards AI. Join Medium with my referral link – Amy @GrabNGoInfo How to use MLflow to track different model versions and retrieve experiment information? Photo by Solen Feyissa on Unsplash MLflow is an open-source platform for …
Mastering 10 Regression Algorithms: A Step-by-Step Practical Approach
Author(s): Fares Sayah Originally published on Towards AI. A Hands-On Guide to Understanding and Evaluating Regression Algorithms Photo by Howie Mapson on Unsplash Linear Regression is one of the simplest algorithms in machine learning. It can be trained using different techniques. In …
Mastering Linear Regression: A Step-by-Step Guide
Author(s): Anushka sonawane Originally published on Towards AI. From Basics to Advanced: A Comprehensive Guide to Linear Regression Understanding Linear Regression [Image by author] Have you ever wondered how we could use machine learning to predict future outcomes based on past data? …
Machine Learning: The First Step is to Understand Simple Linear Regression
Author(s): Dede Kurniawan Originally published on Towards AI. Mastering Simple Linear Regression in Python without a Lot of Math Photo by Andrea Piacquadio on Pexels In the machine learning universe, who doesn’t know about linear regression? Of course, everyone knows about it. …
Multivariate Linear Regression From Scratch
Author(s): Erkan Hatipoğlu Originally published on Towards AI. With Code in Python Photo by Hitesh Choudhary on Unsplash Introduction In this new episode of the Machine Learning Basics series, we will create a model for a multivariate linear regression task and validate …
5 Regression Diagnostics Every Data Scientist Must Know
Author(s): Snehal Nair Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Model diagnostics are used widely when creating data science models. It’s crucial to understand the principles of simple models before diving into …
The Normal Equation: The Calculus, the Algebra, and The Code
Author(s): Skander Menzli Originally published on Towards AI. Photo by Antoine Dautry on Unsplash Introduction: The normal equation is a closed-form solution used to solve linear regression problems. It allows us to directly compute the optimal parameters of the line (hyperplane) that …
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