A financial institution wants to accurately predict the probability of loanee/borrower defaulting on a vehicle loan in the first EMI on the due date.

We conduct cluster analysis on customers and machine learning to predict if a customer will receive insurance benefits.

A Comprehensive Guide to Titanic Machine Learning from Disaster

Multi-label AUC plot script

ExcelR-Assignment---Logistic-Regression-Assignment---6

This is an contrast of linear regression model, used to examine the association between the independent variable(category or contineous) with dependent variable(binary), which is an discrete outcome.

Decision Tree classifier using Logistic Regression

The aim is to analyze the data of INN Hotels to find which factors have a high influence on booking cancellations, build predictive models(logisitic regression, decision trees) that can predict which booking is going to be canceled in advance, and help in formulating profitable policies for cancellations and refunds.

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using knn.

Neural Network

The project involves analyzing certain issues of customer churn faced by telecom companies. Models are required to be built so as to predict whether a customer will cancel their service in the future or not and then model comparison measures are made for taking interpretation and recommendations from the best model.

INN Hotels Project

Classification (Ranking) Clients Project

Continuing with telemarketing model to predict campaign subscriptions in a portuguese bank institution. For this project I have evaluated the performance of four resampling techniques and selected the best one to implement the logistic model.

Evaluating machine learning methods for detecting sleep arousal, bachelor thesis by Jacob Stachowicz and Anton Ivarsson (2019)

Data Visualization, Random Forest and AUC-ROC Curve

Credit card fraud refers to any unauthorized or fraudulent use of someone else's credit card information to make purchases or obtain funds. It is a criminal activity and a form of identity theft. This repository contains an implementation of a credit card fraud detection system using machine learning techniques.

A hotel chain is having issues with cancellations. This project analyzes customer booking data to identify which factors significantly influence cancellations, build models using logistic regression and decision trees to predict cancellations in advance, and help formulate profitable policies for cancellations and refunds for the hotel group

Supervised Classfication models - Logistic Regression & Decision Tree, AUC-ROC Curve

Classification algorithms to predict if a client would default on their loan