## Getting Started With Keras

There are various neural network frameworks, libraries and APIs available,and so its quite difficult to choose the best for the project. Still Keras is the most favourable. This article is intended for those readers who are familiar with the basics… Continue Reading

## Exploratory Data Analysis – White Wines Data – Part 4 – Multivariate Analysis

Multivariate Analysis Multivariate Data Analysis refers to any statistical technique used to analyze data that arises from more than one variable. This is the fourth part of the Exploratory Data Analysis Series. The series is as follows: Part 1 –… Continue Reading

## Exploratory Data Analysis – White Wines Data – Part 3 – Bivariate Analysis

Bivariate Analysis Bivariate analysis means the analysis of bivariate data. It is one of the simplest forms of statistical analysis, used to find out if there is a relationship between two sets of values. It usually involves the variables X… Continue Reading

## The Proliferation of Data: Transforming Our Lives and Creating Breakthroughs

The article exhibits interesting insights about Big Data with some foundational concepts. Enjoy! Big Data: Definition | Difference between Big Data and Traditional Data In the simplest words, the raw information can be termed as data and the voluminous amount… Continue Reading

## Exploratory Data Analysis – White Wines Data – Part 1 – Introduction

Exploratory Data Analysis (EDA) Exploratory Data Analysis (EDA) is an approach to analyzing data (mostly graphical). It’s where the researcher takes a bird’s eye view of the data and tries to make some sense of it. It’s often the first… Continue Reading

## Exploratory Data Analysis – White Wines Data – Part 2 – Univariate Analysis

Univariate Analysis Univariate analysis is the simplest form of analyzing data. “Uni” means “one”, so in other words, your data has only one variable. It doesn’t deal with causes or relationships (unlike regression) and its major purpose is to describe;… 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

## ML Algos from Scratch – KMeans Clustering

Introduction to K-means Clustering   K-means clustering is an unsupervised machine learning algorithm. An unsupervised learning algorithm is applied on unlabeled data(data without defined categories or groups). The purpose of this algorithm is to find clusters(groups) in the data with… Continue Reading

## Compressing Images using K-Means Clustering

K-means clustering is an unsupervised learning algorithm which segments the unlabeled data into different clusters. One of the most interesting applications of K means clustering is compressing images. In a coloured image, each pixel is a combination 3 bytes (RGB),… Continue Reading

## Machine Learning | What’s Inside the Box

My mommy always said machine learning was like a box of chocolates. You never know what you’re going to get. Sorry mommy, not today! We’re definitely going to know what chocolates we’re getting (I hope I get Dark Chocolate).   Just like opening a… Continue Reading