Readers Warning: Hold your seat guys, since this is going to be a long and comprehensive article covering all the nitty-gritty details of Logistic Regression.
Whenever someone decides to enter into the world of data science, the one library he needs to learn is NumPy. NumPy Stands for Numerical Python
One of the concepts of machine learning that is easy to learn but difficult to master is Bias and Variance. It’s like Artificial Intelligence for
One of the most basic data science interview questions we are asked is about different optimization algorithms in deep learning. This article will be a
We all have heard about neural networks and how it is able to learn any complex function. But let me tell you it’s no real
In this article we’ll address the following topics: Why do we need Activation Functions? Let’s take an example of a single neuron. Each neuron performs
Model Evaluation is one of the most important steps in developing a machine learning pipeline. Just imagine, designing a model and then straight away deploying
You’re the average of the five people spend the most time with. The above quote closely sums up what K-Nearest Neighbors algorithm is. The only difference is
The decision tree is one of the tree-based algorithms in the machine learning domain. It is highly intuitive and easy to understand which makes it
In my previous article, we discussed the decision tree algorithm. Although the decision tree is a very cool intuitive algorithm it carries with it the curse of