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…