Blog Archives

Making a Shiny dashboard using ‘highcharter’ – Analyzing Inflation Rates

October 30, 2017
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Making a Shiny dashboard using ‘highcharter’ – Analyzing Inflation Rates

Shiny is an amazing R package which lets the R developers and users build amazing web apps using R itself. It lets the R users analyze, visualize and deploy their machine learning models directly in the form of the web app. This package lets you host standalone apps on a webpage or embed them in Related Post Time Series Analysis...

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Principal Component Analysis – Unsupervised Learning

October 9, 2017
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Principal Component Analysis – Unsupervised Learning

Unsupervised learning is a machine learning technique in which the dataset has no target variable or no response value-\(Y \).The data is unlabelled. Simply saying,there is no target value to supervise the learning process of a learner unlike in supervised learning where we have training examples which have both input variables \(X_i\) and target variable-\(Y\) Related Post Find Your Best...

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Text Message Classification

September 7, 2017
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Text Message Classification

Classification is a supervised machine learning technique in which the dataset which we are analyzing has some inputs \(X_i\) and a response variable \(Y\) which is a discrete valued variable.Discrete valued means the variable has a finite set of values.In more specific terms in classification the response variable has some categorical values.In R we call Related Post Analyzing Google Trends...

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Gradient boosting in R

August 24, 2017
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Gradient boosting in R

Boosting is another famous ensemble learning technique in which we are not concerned with reducing the variance of learners like in Bagging where our aim is to reduce the high variance of learners by averaging lots of models fitted on bootstrapped data samples generated with replacement from training data, so as to avoid overfitting. Another Related Post Radial kernel Support...

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Radial kernel Support Vector Classifier

August 7, 2017
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Radial kernel Support Vector Classifier

Support vector machines are a famous and a very strong classification technique which does not uses any sort of probabilistic model like any other classifier but simply generates hyperplanes or simply putting lines ,to separate and classify the data in some feature space into different regions. Support Vector Classifiers are majorly used for solving a Related Post Random Forests in...

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Random Forests in R

July 24, 2017
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Random Forests in R

Ensemble Learning is a type of Supervised Learning Technique in which the basic idea is to generate multiple Models on a training dataset and then simply combining(average) their Output Rules or their Hypothesis \( H_x \) to generate a Strong Model which performs very well and does not overfits and which balances the Bisa-Variance Tradeoff Related Post Network analysis of...

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Analyzing Obesity across USA

July 12, 2017
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Analyzing Obesity across USA

The main aim of this project is to study the states which had the most obese population among adults and children as well as teens in USA. Secondly, another objective of this project is to learn how to scrape data in R from an HTML page using rvest package and generate beautiful maps using ggplot Related Post Can we predict...

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Generalized Additive Models

July 6, 2017
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Generalized Additive Models

This is also a flexible and smooth technique which captures the Non linearities in the data and helps us to fit Non linear Models.In this article I am going to discuss the implementation of GAMs in R using the 'gam' package .Simply saying GAMs are just a Generalized version of Linear Models in which the Related Post Second step with...

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Cubic and Smoothing Splines in R

June 30, 2017
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Cubic and Smoothing Splines in R

Splines are a smooth and flexible way of fitting Non linear Models and learning the Non linear interactions from the data.In most of the methods in which we fit Non linear Models to data and learn Non linearities is by transforming the data or the variables by applying a Non linear transformation. Cubic Splines Cubic Related Post Chi-Squared Test –...

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