## R for Data Science – Part 1 – Introduction

INTRODUCTION TO R This is the first part of the series “R for Data Science”. The series is as follows: Part 1 – Introduction (this article) Part 2 – Basic Syntax  Part 3 – Data Types and Objects Part 4 – Operators and… 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

## Prerequisite to Gradient Descent: Model Representation

Introduction to  Model Representation Hello all! Welcome back to the 2nd article on basics of Machine Learning. In this article, we are going to first get familiar with how we represent Models while performing operations and Machine Learning and learn… Continue Reading

## ML Algos From Scratch – K-Nearest Neighbors

Hola Data Scientists! Hope you’re having a wonderful day. Welcome to Part 1 of “ML Algos from Scratch” series. This series aims at building an intuition about machine learning algorithms, from how it works and what happens under the hood,… Continue Reading

## Data Hunting With Android

Before “analyzing” any data, we “need” data. In this tutorial I am going to demonstrate how to gather users’ Location Data with their current activity using google-play-services location api in Android. We will use fusedLocationApi and activityRecognitionApi of google-locations-api. 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

## Comprehensive Regression Series – Predicting Student Performance – Part 3 – Visualizing the Data

This is the third part of the Comprehensive Regression Series. We strongly recommend you to go through the previous parts before starting with this one. The series is as follows: Part 1 – Understanding the Data Set Part 2 –… Continue Reading