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

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## 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…

Continue Reading## 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.…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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,…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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 +…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

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