## Tag - Linear Regression

### A Tour of The Top 10 Algorithms for Machine Learning Newbies

For machine learning newbies who are eager to understand the basic of machine learning, here is a quick tour on the top 10 machine learning algorithms used by data scientists. By James Le, Machine Learning Engineer. comments In machine learning, ther...

### Getting Up Close and Personal with Algorithms

We've put together a brief summary of the top algorithms used in predictive analysis, which you can see just below. Read to learn more about Linear Regression, Logistic Regression, Decision Trees, Random Forests, Gradient Boosting, and more. By Datai...

### KDnuggets Webinar: Modern Regression Modeling for Voter MicroTargeting, Sep 14, Sep 21

Join us for a special 2-part webinar about voting trends, and we will show how machine learning models and data science can be used in elections. Salford Systems 2-part Webinar: Part 1: Linear Regression and MARS™ (Multivariate Adaptive Regression Sp...

### Linear Regression In Real Life

A helpful guide to Linear Regression, using an example of a friends road trip to Las Vegas to highlight how it can be used in a real life situation. comments By Caroline Bento, a Software Engineer with a passion for Photo by Roman Mager on Unsplash W...

### Linear Regression, Least Squares & Matrix Multiplication: A Concise Technical Overview

Linear regression is a simple algebraic tool which attempts to find the “best” line fitting 2 or more attributes. Read here to discover the relationship between linear regression, the least squares method, and matrix multiplication. By Matthew Mayo,...

### Logistic Regression: A Concise Technical Overview

Logistic Regression is a Regression technique that is used when we have a categorical outcome (2 or more categories). Logistic Regression is one of the most easily interpretable classification techniques in a Data Scientist’s portfolio. By Asel Mendi...

### Neural Networks with Numpy for Absolute Beginners — Part 2: Linear Regression

In this tutorial, you will learn to implement Linear Regression for prediction using Numpy in detail and also visualize how the algorithm learns epoch by epoch. In addition to this, you will explore two layer Neural Networks. comments By Suraj Donthi...

### The Best Metric to Measure Accuracy of Classification Models

Measuring accuracy of model for a classification problem (categorical output) is complex and time consuming compared to regression problems (continuous output). Let’s understand key testing metrics with example, for a classification problem. By Jacob...

### The Vietnamese population profile

How Bayesian statistics convinced me to hit the gym A fun journey into the theory of Linear Regression with a Bayesian touch (Hush Hush: I use metric measurements in this post) As the title of the article suggested, I will make a scientific investiga...

### You have created your first Linear Regression Model. Have you validated the assumptions?

Linear Regression is an excellent starting point for Machine Learning, but it is a common mistake to focus just on the p-values and R-Squared values while determining validity of model. Here we examine the underlying assumptions of a Linear Regressio...