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

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## 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…

Continue Reading## Key Types of Regressions: Which One to Use?

Key Types of Regressions: Which One to Use?Oleksii KharkovynaBlockedUnblockFollowFollowingMay 5So, regression… aside from other algorithms and statistical models, it is one…

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