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Shreyas Balakrishna

They have the Passion for Teaching. If you have the Passion for Learning." The style of teaching is what makes Himanshu and Kush unique. The systematic approach and mathematically tuned thinking for solving analytical cases, confidence in learning every concept,...

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MULTI-VARIATE ANALYSIS

WHY DO MULTI-VARIATE ANALYSIS Every data-set comprises of multiple variables, so we need to understand how the multiple variables interact with each other. After we understand uni-variate analysis - where we understand the behaviour of each distribution, and...

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Introduction to Random forest

Random forest is one of those algorithms which comes to the mind of every data scientist to apply on a given problem. It has been around for a long time and has successfully been used for such a wide number of tasks that it has become common to think of it as a basic...

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Introduction to Support Vector Machine

A Support Vector Machine is a yet another supervised machine learning algorithm. It can be used for both regression and classification purposes. But SVMs are more commonly used in classification problems (This post will focus only on classification). Support Vector machine is also commonly known as “Large Margin Classifier”.
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Bi-Variate Analysis

Bi-Variate Analysis Bi-Variate Analysis In my previous post, we have covered Uni-Variate Analysis as an initial stage of data-exploration process. In this post, we will cover the bi-variate analysis. Objective of the bi-variate analysis is to understand the...

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Shreyas Balakrishna

They have the Passion for Teaching. If you have the Passion for Learning." The style of teaching is what makes Himanshu and Kush unique. The...
Read More

Principle Component Analysis in Regression

We will apply pca on wine dataset wine = read.csv ("https://storage.googleapis. com/dimensionless/...
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MULTI-VARIATE ANALYSIS

WHY DO MULTI-VARIATE ANALYSIS Every data-set comprises of multiple variables, so we need to understand how the multiple variables interact with each...
Read More

Introduction to Random forest

Random forest is one of those algorithms which comes to the mind of every data scientist to apply on a given problem. It has been around for a long...
Read More

Introduction to Support Vector Machine

A Support Vector Machine is a yet another supervised machine learning algorithm. It can be used for both regression and classification purposes. But SVMs are more commonly used in classification problems (This post will focus only on classification). Support Vector machine is also commonly known as “Large Margin Classifier”.
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