This Repository Contains R-Codes executed on various Datasets in RStudio. I Hope This Repository is very helpful for those who are Willing to build their Career in Data Science, Big Data.

Finance R program - bond pricing, option pricing, and others

Joining, cleaning, transforming and mining untidy Australian COVID-19 data sets, in preparation for data analysis and predictive modelling.

🌾 EDA and several Clustering techniques applied on a real dataset of wheat kernels. 🍞

This repository contains coursework for the Data Mining course in the MS Applied Business Analytics program at Boston University.

Vežbe 5: KNN

Imbalanced classification with loan clients dataset.

[Completed] Classification Report using K-Nearest Neighbors, Random Forests, and Logistic Regression.

Use a variety of data science techniques to detect whether a tax return is fraudulent or not.

This repository showcases project to predict the likelihood of borrowers defaulting on a loan using Machine Learning models. The task is to perform binary classification to classify borrowers as "will default" or "will not default". An Excel sheet calculates bank profits using these predictive models.

Missing values imputation using KNN and visualization with Boxplots and Violin plots in R

Predicting Churning in a Telecommunications Company

Citizen-based mapping of paleosol/hydropedologic sequences using machine learning. The outputs contributed to the creation and management of a conservation area in Cerro Seco, southern Bogotá.

Comprehensive dimensionality reduction and cluster analysis toolset

Exploring American beliefs in the COVID-19 conspiracy theory – Coronavirus is a Chinese bioweapon.

DP-kNN: Short-Term Traffic Forecasting Using Self-Adjusting k-Nearest Neighbours

This project aims to analyze the heart failure dataset to build a classifier that identifies the most important factors and allows predicting death from heart failure.

In this project, it was aimed to build a machine learning model to predict the champion of the World Cup Qatar 2022.

This project is aimed at predicting loan terms issued by World Bank to developing countries by using Regression, Decision Trees, K-Nearest Neighbors & PLSR in R