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Browsing Category

# Machine learning

## Model Selection Based on Cross Validation in R

Introduction Model Selection In statistics, Model Selection Based on Cross Validation in R plays a vital role. The prediction problem is about predicting a response (either continuous or discrete) using a set of predictors (some of them…

## Gradient Descent: Relating It With Real Life Analogies

Accuracy! That is one word having the most concern when dealing with Machine Learning or AI Problems. Most of the problems that people deal with are real-world, so we can’t overlook the error rates of the model and compromise instead. In…

## Feature Engineering And Variable Transformation

What is Feature Engineering? Why do some machine learning projects succeed while others fail? What makes the difference? Easily, the most important factor is the features used (features driven by feature engineering). If you have many…

## Introduction to Insurance And Fraud Analytics

Introduction to Insurance Insurance, Due to its business nature is very prone to Frauds. Insurance is the distribution of Risk, which requires Insurance Companies to have liquid assets in terms of reserve funds available to pay loss claims.…

## Naive Bayes Algorithm In Python

In spite of the greatest advancement in machine learning in last few years, Naive Bayes classifier has proved out to be one of the most simple, accurate and reliable algorithms which are widely used in industrial applications. It works…

## Random Forest Using Python and Sci-kit Learn

Random Forest, which actually is an ensemble of the different and the multiple numbers of decision trees taken together to obtain better predictive performance than could be obtained from any of the constituent learning algorithms alone…

## Decision Tree and Its Implementation In R

Introduction A Decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. It is one way to display an algorithm…

## Support Vector Machine

Table of Contents Introduction How does Support Vector Machine work (SVM) ? Kernel trick Implementing SVM in Python Advantages and Disadvantages Applications Introduction Support Vector Machine (SVM) is a popular supervised machine learning…

## Hierarchical Clustering Using Python and Scipy

Table of contents Introduction to Hierarchical Clustering Using Python Types of hierarchical clustering Pseudocode Linkage measures Space and Time complexity Implementing Hierarchical clustering in Python Advantages and Disadvantages…

## K – Means Clustering Algorithm

“What gets measured, gets managed ” – Peter Drucker Table of Contents Introduction Types of clustering When to use it? Pseudocode How does it work? Distance measures Important hyper-parameters Choosing the optimal k value Picking the…