## R for Data Science – Part 3 – Data Types and Objects

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

## Understanding Math Behind KNN (with codes in Python)

Understanding the Math behind K-Nearest Neighbors Algorithm using Python The K-Nearest Neighbor algorithm (KNN) is an elementary but important machine learning algorithm. KNN can be used for both classification and regression predictive problems. The reason for the popularity of KNN… Continue Reading

## ML Algos From Scratch – Decision Trees

Hello Readers!! I hope you’re having a good time learning about machine learning. Welcome to part 2 of ML algorithm series where I’ll be discussing one of the most famous and conceptual algorithm known as the Decision Tree Algorithm. Decision… Continue Reading

## R for Data Science – Part 2 – Basic Syntax

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

## Tableau – Part 2 – Getting started

This is the second part of the Tableau series. The series is as follows: Part 1: Introduction Part 2: Getting started (this article) In the previous article we got ourselves introduced to Tableau; What it is? What can we achieve… Continue Reading

## Tableau – Part 1 – Introduction

Welcome to the world of Data Visualizations Data Visualization is an art of presenting the data in a manner that even a non-analyst can understand it. A perfect blend of aesthetic elements like colors, dimensions, labels can create visual masterpieces,… Continue Reading

## Introductory Discussion at Shiv Nadar University

Data Scribble in association with ACM SNU Chapter organised an Introductory talk/discussion session at the Shiv Nadar University on 1st September, 2017. The event witnessed enthusiastic participation from engineering students of various branches. The discussion was themed around “Why Artificial… Continue Reading

## 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

## 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