Articles by Anish Singh Walia

Text Message Classification

September 7, 2017 | Anish Singh Walia

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 ...
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Gradient boosting in R

August 24, 2017 | Anish Singh Walia

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 ...
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Radial kernel Support Vector Classifier

August 7, 2017 | Anish Singh Walia

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 ...
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Random Forests in R

July 24, 2017 | Anish Singh Walia

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 ...
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Analyzing Obesity across USA

July 12, 2017 | Anish Singh Walia

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 ...
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Generalized Additive Models

July 6, 2017 | Anish Singh Walia

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 ...
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Cubic and Smoothing Splines in R

June 30, 2017 | Anish Singh Walia

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 ...
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