Think about it before you read the answer. The best line is the one that minimizes the distance of all…

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## 10 Powerful Applications of Linear Algebra in Data Science (with Multiple Resources)

Overview Linear algebra powers various and diverse data science algorithms and applications Here, we present 10 such applications where linear…

Continue Reading## Object-oriented programming for data scientists: Build your ML estimator

In spite of being different, they have the commonality that they can both be imagined to be essential parts of…

Continue Reading## A Running Speed Benchmark for Kernel & Non-Kernel Algorithms

A Running Speed Benchmark for Kernel & Non-Kernel AlgorithmsAre non-kernel always faster than their counterpart kernel-based algorithms?Ori CohenBlockedUnblockFollowFollowingJul 9The Kernel…

Continue Reading## Linear Regression using Flavor of Python

In this article we’ll cover univariate linear regression which is a statistical approach to find and determine a relationship among…

Continue Reading## Predicting House Prices with Linear Regression | Machine Learning from Scratch (Part II)

Predicting House Prices with Linear Regression | Machine Learning from Scratch (Part II)Predicting sale prices for houses, even stranger ones. And…

Continue Reading## Bivariate Logistic Regression Example (python)

Bivariate Logistic Regression Example (python)Intuitive Understanding and Simple ExerciseAndrew HershyBlockedUnblockFollowFollowingJun 24Source: Anne SprattA logistic regression is a model used to predict the “either-or”…

Continue Reading## The Intuition Behind Correlation

We’ll answer that question in this article. We’ll also develop an intuitive feel for the equation for Pearson’s correlation coefficient.…

Continue Reading## Log Book — Practical guide to Linear & Polynomial Regression in R

Log Book — Practical guide to Linear & Polynomial Regression in RThis is a practical guide to linear and polynomial regression in R.…

Continue Reading## Concept of Regularization

Because the a linear model has been trained on a non linear dataset. Hence, fitting a linear line to a…

Continue Reading## The Complete Guide to Linear Regression in Python

(duh)Is there an interaction effect?Estimating the coefficientsLet’s assume we only have one variable and one target. Then, linear regression is…

Continue Reading## Linear vs Polynomial Regression Walk-Through

Is the relationship best fit with a linear regression?Source of original data: Penn State. — — — — — — — — — — — — — — — — — — — — — — — — — — — — — -First, let’s bring in the…

Continue Reading## Taylor Fogarty

Linear or Logistic?Understanding the differences & the various models…Predicting the Future (of Music)Using Python and linear regression to predict the popularity of music..…

Continue Reading## Regression or Classification? Linear or Logistic?

Linear or Logistic?Understanding the differences & the various models for eachTaylor FogartyBlockedUnblockFollowFollowingJun 11Regression vs ClassificationIn order to decide whether to use…

Continue Reading## How to Tackle Your Next Regression Problem

Photo by Campaign Creators on UnsplashHow to Tackle Your Next Regression ProblemThe Key Ideas to Consider for Your Next Regression ModelTom…

Continue Reading## Layman’s Introduction to Linear Regression

Layman’s Introduction to Linear RegressionWhen your data follows a straight line trend, linear regression is your friendRishi SidhuBlockedUnblockFollowFollowingJun 5Linear regression attempts…

Continue Reading## Verifying the Assumptions of Linear Regression in Python and R

We should not be able use a linear model to accurately predict one feature using another one. Let’s take X1…

Continue Reading## Assumptions Of Linear Regression Algorithm

Assumptions Of Linear Regression AlgorithmGomathi tamilselvamBlockedUnblockFollowFollowingMay 24These Assumptions which when satisfied while building a linear regression model produces a best…

Continue Reading## What is “linear” regression model?

To get an idea, let’s visualise this function. Figure 3. Error function of the first modelAs you can instinctively guess from…

Continue Reading## Data Science Modeling: How to Use Linear Regression with Python

Data Science Modeling: How to Use Linear Regression with PythonTaking a look at R², Mean Squared Error, and moreDean SublettBlockedUnblockFollowFollowingMay 24by Brian…

Continue Reading## LOESS

First of all, think of the red line as an ordered sequence of equally spaced x values, in this case…

Continue Reading## Behind The Models: Cholesky Decomposition

Now the cool part: using Cholesky decomposition we can solve systems of equations of any size in 2 steps. Suppose…

Continue Reading## Finding Business Value in Simple Models

Data Science in the Real WorldFinding Business Value in Simple ModelsHow a general linear model succeeded where complex models failedElliott StamBlockedUnblockFollowFollowingMay 22To this…

Continue Reading## Hyperparameter Tuning with callbacks in Keras

Hyperparameter Tuning with callbacks in KerasAbhishek RajbhojBlockedUnblockFollowFollowingMay 5Why is this important ?Applied Machine Learning is an empirical process where you need to…

Continue Reading## An Introduction to Linear Recursive & Linear Iterative Processes in Programming

An Introduction to Linear Recursive & Linear Iterative Processes in ProgrammingUsing the Scheme dialect of LispJoe CardilloBlockedUnblockFollowFollowingMay 6Photo by Ilze Lucero…

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