In this post we will be leveraging a module that does the heavy lifting of all the manual calculations required to build a decision tree.

In this post I aim to spell out the complete logic and math into code, so that you can implement the concept of Linear Regression as discussed in the previous

We all know Logarithms as a math function that has a parabolic graph, but most of us don’t know what is its purpose and how it serves as a crucial

Understand the concept of 3D linear regression or regression using 2 independent variables to predict a target variable using simple OLS in 5 minutes.

Is Ridge Regression an optimization of Linear Regression, join me in this post to know the perks of Ridge regression and how it can solve the problem of bias and

Build Deep learning models leveraging gradient descent efficiently with pytorch, replacing the stressful gradient computation at each checkpoint in back propagation.

Join me in this post to decode the concept of RNNs (Recurrent Neural Networks) – a neural network that is specifically built for prediction and classification on data that changes

Join me in this post to get a firm grasp of a fundamental in AI. Breaking down Mini Batch Gradient Descent in simple words using math and python code.

Learn Stochastic Gradient Descent, an optimised version of the Gradient Descent algorithm. Explore the logic with just simple math and few lines of python code