# linear

## Small questions about “bigger” issues in Machine learning

“Statistical modeling: Two Cultures”, highlights an important distinction between two very different approaches to statistical modeling:Stochastic techniques, where a distribution…

## Linear programming and discrete optimization with Python using PuLP

Linear programming and discrete optimization with Python using PuLPLinear and integer programming are key techniques for discrete optimization problems and they…

## Estimating Non-linear Correlation in R

Estimating Non-linear Correlation in RChitta RanjanBlockedUnblockFollowFollowingApr 19In this post, we will learn about using a nonlinear correlation estimation function in R.…

## Classification: A Linear Approach (Part 1)

We know by looking at the dataset plot that this is exactly the region where most of our Orange class…

## Linear regression and a quality bottle of wine

Read on to find out. Akhilesh RaiBlockedUnblockFollowFollowingApr 11There is something about statistics that govern our lives more than we think. The…

## Intro to Statistics — Scatter Plots

Intro to Statistics — Scatter PlotsM. EmmanuelBlockedUnblockFollowFollowingMar 23We continue the series of articles on the Udemy Intro to Statistics course with a new…

## Building Blocks of Supervised Learning

In that scenario, there is no reason to suggest that the optimal boundary should be linear. While our visual inspection…

## A Comparison of Shrinkage and Selection Methods for Linear Regression

Run cross-validation trying a set of different values and pick one that minimizes cross-validated error on test data. Luckily, Python’s…

## The Complete Beginner’s Guide to Machine Learning: Multiple Linear Regression in 4 Lines of Code!

Multiple linear regression (MLR/multiple regression) is a statistical technique. It can use several variables to predict the outcome of a…

## Data Science Interview: Linear Regression Explained

Data Science Interview: Linear Regression ExplainedLinear regression explained in a non-technical wayJoy Gracia HarjantoBlockedUnblockFollowFollowingApr 5Data science is an emerging field…

## Comprehensive Guide To Linear Regression In R

Comprehensive Guide To Linear Regression In RSahiti KappagantulaBlockedUnblockFollowFollowingJan 28Linear Regression — EdurekaLinear Regression is one of the most widely used Machine Learning algorithms,…

## The complete beginner’s guide to machine learning: simple linear regression in four lines of code!

In order to figure that out, we’ll create a model that will tell us what is the best fitting line…

## Statistical Overview of Linear Regression (Examples in Python)

Statistical Overview of Linear Regression (Examples in Python)Jovan MedfordBlockedUnblockFollowFollowingMar 23In statistics we are often looking for ways to quantify relationships between…

## How Does Linear Regression Actually Work?

How Does Linear Regression Actually Work?Anas Al-MasriBlockedUnblockFollowFollowingMar 18(Source: https://www. sciencenews. org/article/online-reading-behavior-predicts-stock-movements)Linear Regression is inarguably one of the most famous topics in…

## Machine Learning Algorithms In Layman’s Terms, Part 1

You could probably do it manually, but it would take forever. That’s where gradient descent comes in!Our “line of best…

## A beginner’s guide to Linear Regression in Python with Scikit-Learn

A beginner’s guide to Linear Regression in Python with Scikit-LearnNagesh Singh ChauhanBlockedUnblockFollowFollowingFeb 25sourceThere are two types of supervised machine learning…

## Best exponential transformation to linearize your data with Scipy

Best exponential transformation to linearize your data with ScipyHow to find the best exponent to fit a linear relation with scipy…

## Regression, modular arithmetic, and PQC

Linear regressionSuppose you have a linear regression with a couple predictors and no intercept term:β1×1 + β2×2 = y +…

## Intro to Statistics — Looking at Data

’)# Linear Regressiongradient, intercept, r_value, p_value, std_err = stats. linregress(size,cost)print “Gradient and intercept”, gradient, interceptprint “R-squared”, r_value**2print “p-value”, p_valueprint “Standard…

## Linear Programming: Preparation for Simplex Method

Linear Programming: Preparation for Simplex MethodRodion ChachuraBlockedUnblockFollowFollowingFeb 16This is part of the course “Optimization for Programmers”. all code hereBefore we go to…

## Machine Learning Models: Linear Regression

Machine Learning Models: Linear RegressionIsaiah NieldsBlockedUnblockFollowFollowingFeb 1Over the last few weeks, I have been quickly studying my way through Deep…

## Linear Regression From Scratch With Python

That’s what the error function is for — it calculates the total error of your line. We’ll be using an error function…

## Supervised Learning: Basics of Linear Regression

Supervised Learning: Basics of Linear RegressionVictor RomanBlockedUnblockFollowFollowingJan 151. IntroductionRegression analysis is a subfield of supervised machine learning. It aims to…

## Introduction to Linear Regression and Polynomial Regression

Introduction to Linear Regression and Polynomial RegressionAyush PantBlockedUnblockFollowFollowingJan 13IntroductionIn this blog, we will discuss two important topics that will form…

## Interpreting the coefficients of linear regression

Source: UnsplashInterpreting the coefficients of linear regressionEryk LewinsonBlockedUnblockFollowFollowingJan 13Nowadays there is a plethora of machine learning algorithms we can try…