## Data Science… Where to START ?!

This is a question that I get almost every day from people, especially students, who want to start their journey into Data Science. There is so much to learn and so much to do. The overwhelming amount of resources available… Continue Reading

## The Subtle Differences among Data Science, Machine Learning, and Artificial Intelligence

What is Data Science and why is it important? How is it related to Machine Learning? Are Machine Learning and Artificial Intelligence the same thing? If no, how are they different? I encounter these and similar questions very frequently by… Continue Reading

## Introductory Guide to NumPy

NumPy NumPy is a Linear Algebra Library for Python. We can use it to create vectors and arrays or matrices of numbers and perform mathematical operations on them. It is one of the most important libraries in Data Science as… 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

## Comprehensive Regression Series – Predicting Student Performance – Part 4 – Making the Predictive Model

This is the fourth 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

## 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

## Comprehensive Regression Series – Predicting Student Performance – Part 2 – Exploratory Data Analysis

This is the second 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

## Comprehensive Regression Series – Predicting Student Performance – Part 1 – Understanding the Data Set

In this series, we will walk through the whole procedure of solving a regression problem in python. In a Regression problem, we predict continuous values (like price of a stock, or student performance as in this case) We will be using a… Continue Reading

## Visualization with Seaborn – Part 1 – Distribution and Categorical Plots

Visualizing Your Data With Seaborn. Seaborn is an extremely well-built library for Data Visualization. It can build beautiful plots to efficiently visualize your data. Have a look at the official documentation here, and see the various kinds of plots that… Continue Reading

## Introduction to Feature Engineering

Introduction to Feature Engineering with Stock Prices Prediction This tutorial is meant to introduce to you what we call “Feature Engineering”. You probably know that “features” are the attributes of the data. They typically correspond to the independent columns of… Continue Reading