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Product Catalogue Classication Using Ensemble

The Problem Statement The Otto Product Classification Challenge was a competition hosted on Kaggle, a website dedicated to solving complex data science problems. The purpose of this challenge was to classify products into correct category, based on their recorded features. Data The organizers had provided a training data set containing...

Hyperscaling Applications Using Mesos & Marathon

In a previous blog post we have seen what Apache Mesos is and how it helps to create dynamic partitioning of our available resources which results in increased utilization, efficiency, reduced latency, and better ROI. We also discussed how to install, configure and run Mesos...

Predicting Restaurant Revenue using Ensemble Methods in Machine Learning

The Problem Statement The TFI Restaurant Revenue Prediction Challenge was a competition hosted on Kaggle, a website dedicated to solving complex data science and machine learning problems. The purpose of this challenge was to predict the annual sales of restaurants based on given objective measurements. Data The organizers...

So You Want to Build Your Own Data Center?

In today's internet-of-things world, companies run their applications 24x7, and this generally results in a lot of users or data. This data needs to be stored, analyzed, and post-processed; in essence, some action needs to be taken on it. We are looking at huge fluctuating...

A Sneak Peak Into Text Classification Using Naive Bayes

Classification is a process by which we can segregate different items to match their specific class or a category. This is a very commonly occurring problem across all activities that happen throughout the day, for all of us. Classifying whether an activity is dangerous, good, moral, ethical, criminal,...

Forecasting and Linear Regression in R

In this article, let's learn the basics of forecasting and linear regression analysis, a basic statistical technique for modeling relationships between dependent and explanatory variables. Also, we will look at how R programming language, a statistical programming language, implements linear regression through a couple of...