Dissecting Relu: A desceptively simple activation function
What is this post about? This is what you will be able to generate and understand by the end of this post. This is the…
Category: Algorithms
This is about supervised algorithms, theory, implementations and visualisations.
Stochastic Approximation to Gradient Descent
What will you learn? The video below, delivers the main points of this blog post on Stochastic Gradient Descent (SGD): (GitHub code available in here) …
COVID-19 Analysis
Studying and Predicting the Progress of COVID-19 using Pandas and ARIMA COVID-19 has been around for nearly 4 months since the outbreak. In this notebook,…
The Decision Tree Algorithm: Fighting Over-Fitting Issue – Part(2): Reduced Error Pruning
What is this post about? In the previous post, we learned all about what over-fitting is, and why over-fitting to our training data could easily…
The Decision Tree Algorithm: Fighting Over-Fitting Issue – Part(1): What is over-fitting?
What is this post about, and what is next? Hi there!!! Let’s cut to the chase, shall we?! You have this decision tree algorithm, coded…
The Decision Tree Algorithm: Information Gain
Which attribute to choose? (Part-2) Today we are going to touch on something quite exciting. In our previous post we talked about Entropy of a…