## Linear Regression — Part IV — Chance of Admission Prediction

Ever thought about doing magic or predict future? Here is the guide! lol! In this article lets go programming with sklearn package to explore Linear…

## Linear Regression — Part III — R Squared

R Squared is one of the metrics by which we can find the accuracy of a model that we create. R squared metrics works only…

## Linear Regression — Part II — Gradient Descent

Gradient descent is an optimization algorithm used to minimize a cost function (i.e. Error) parameterized by a model. We know that Gradient means the slope of a surface…

## Linear Regression — Part I

Linear Regression is a linear approach to model the relationship between a two or more variables by fitting a straight line i.e. linear, to predict the…

## Correlation Vs Causation

We know that correlation and causation talks about the relationship between 2 variables. Correlation is a statistical measure to know the strength of relationship between…

## Why the Correlation Coefficient r ranges between -1 and +1.?

Correlation Coefficient is a statistical measure of the strength of the relationship between the relative movements of two variables. We know that the equation of…

## What is Regression in Terms of ML?

In this article we will learn about Regression. I am not going to give you 2 lines of definitions for Regression and Classification. Before going…

## Python — Numpy — Understanding Arrays & Dimensions

Numpy is a python library used for computing scientific/mathematical data. Numpy usages are in: Numerical Analysis Linear algebra Matrix computations Including the above concepts, Numpy…

## Degrees Of Freedom — Why it is n-1 ?

Numbers are the highest degree of Knowledge. It is the knowledge itself. — Plato Poster. Here is my understanding of Degrees Of Freedom. Degrees of…