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RESEARCH WORKPLACE

Life is meant to be lived; cherish the exciting moments, and relish in those all too brief moments of relaxation. We are here to live our own life, and live it passionately. Research Workplace serves as a vessel to project our passions, and share as to what inspires us in this crazy BIG DATA world. We believe in continuous learning and sharing our knowledge and implementations.

Explore... Experiment... Experience.... Explain...

Archive

This blog has references from various sources as part of our learning. Our intention is to share our learnings with everyone

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All Posts 66 postsNo categories yet.
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GCP - Cloud Providers - Part 2

GCP - Introduction to Cloud Computing - Part 1

Distributed Ledger Technology (DLT) Series - (Part 1)

The State of Machine Intelligence - AI Landscape

Understand Your Machine Learning Data With Descriptive Statistics in Python

How to Develop a Character-Based Neural Language Model in Keras

Data wrangling Using R

3D Plane wire frame Graph

Apache Spark Tutorial (Part 2 - RDD)

Apache Spark Tutorial (Part 1 - Introduction & Architecture)

Apache Spark Tutorial (Part 1 - Introduction & Architecture)

Apache Spark Tutorial (Part 1 - Introduction & Architecture)

INTRODUCTION Apache Spark is being an open source distributed data processing engine for clusters, which provides a unified programming...

Decision Tree Algorithms Simplified 2

Decision Tree Algorithms Simplified 2

One of the advantage of using Decision tree is that it efficiently identifies the most significant variable and splits the population on...

Decision Tree Simplified!

Decision Tree Simplified!

What is a Decision Tree? Decision tree is a type of supervised learning algorithm (having a pre-defined target variable) that is mostly...

Comparing a Random Forest to a CART model part 2

Comparing a Random Forest to a CART model part 2

Random forest is one of the most commonly used algorithm in Kaggle competitions. Along with a good predictive power, Random forest model...

Comparing a CART model to Random Forest (Part 1)

Comparing a CART model to Random Forest (Part 1)

I created my first simple regression model with my father in 8th standard (year: 2002) on MS Excel. Obviously, my contribution in that...

Framework to build logistic regression model in a rare event population

Framework to build logistic regression model in a rare event population

Only 531 out of a population of 50,431 customer closed their saving account in a year, but the dollar value lost because of such closures...

Trick to enhance power of Regression model

Trick to enhance power of Regression model

We, as analysts, specialize in optimization of already optimized processes. As the optimization gets finer, opportunity to make the...

Extracting right variables for your Regression model

Extracting right variables for your Regression model

Getting the right variables in your model and cleaning them can make or break your model. The precision of the model depends on the...

Diagnosing residual plots in linear regression models

Diagnosing residual plots in linear regression models

Assumptions of Linear Regression Model : There are number of assumptions of a linear regression model. In modeling, we normally check for...

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