## First step towards – Supervised Learning

In this article we will try and cover the basics of supervised learning and develop an intuition of what it really is and how it can be used. In supervised learning, we are given a data set and already know… Continue Reading

## Baby Steps of Statistics — Part 1

This series is meant to introduce you to the basic concepts of Statistics, one of the Data Scientists’ most valuable tools. Intended audience are complete beginners in the field with no prior experience in advanced mathematics. Let’s start off with… Continue Reading

## Comprehensive Classification Series – Kaggle’s Titanic Problem – Part 3: Feature Engineering and Building a Predictive Model

Part 3: Feature Engineering and Building a Predictive Model This is the third part of the Comprehensive Classification Series. We strongly recommend you to go through the previous parts before starting with this one. The series is as follows: Part… Continue Reading

## Comprehensive Classification Series – Kaggle’s Titanic Problem Part 2 :Understanding The Data and Exploratory Data Analysis with Visualizations

Understanding The Data and Exploratory Data Analysis with Visualizations This is the second part of the Comprehensive Classification Series. We strongly recommend you to go through the previous parts before starting with this one. The series is as follows: Part… Continue Reading

## What is Central Limit Theorem (CLT)?

In this article, we will discuss a very basic and important theorem used in Statistics. Suppose a student is being told to find out the height of all the students in his school as a project to be submitted for… Continue Reading

## An Intuitive Example of Data Science

I wonder why people always say that we perform data science process in some way or the other in our day to day tasks. Today, I will show you a very intuitive example that we perform that involves the data… Continue Reading