## Introduction to Recommendation Engines

Intro to Recommendation Engines   How does Google decide, which ads to show you? How does Facebook suggest us new friends? Have you ever come up with the line “People who bought this also bought this” while browsing an E-commerce… Continue Reading

## Introduction to Model Stacking (with example and codes in Python)

Someone call it Stacking, or Blending or even Stacked Generalization. They all are the same thing. They are a kind of ensemble learning. Traditional Ensemble Learning Here, we have multiple models trying to fit on a training dataset to approximate… Continue Reading

## Introduction to SoftMax Regression (with codes in Python)

SOFTMAX REGRESSION In this article, we will learn a relatively uncommon machine learning regression algorithm called Softmax Regression. Softmax regression can be seen as an extension of logistic regression, hence it also comes under the category of ‘classification algorithms’. In… Continue Reading

## ML Algos From Scratch – Support Vector Machines

Training a machine and visualizing the results are real fun to do, so is learning algorithms that train and test the data! This article explains one of the most interesting Supervised Machine Learning Algorithm- SVM. Support Vector Machines is a… Continue Reading

## 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