Sign in / Join

Sign in

Recover your password.

A password will be e-mailed to you.

Browsing Category

# Machine learning

## Introduction To Machine Learning

While shopping online, have you noticed the site recommending products similar to the one you’re looking for? Or while watching YouTube videos, recommendations based on the channels you visit? Or Facebook recommendations to like certain…

## Learning From Imbalanced Dataset

The unbalanced dataset, a problem often found in the real-world application, can cause a seriously negative effect on classification performance of machine learning algorithms. There have been many attempts at dealing with the…

## Application of Linear Regression Via Python’s sklearn Library

When initiating your journey with Machine Learning and Data Science, the first algorithm which you may come across is Linear Regression. And, you may already guess from the name that it is a Regression-based Problem (predictive analysis)…

## 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…