Damithewiz

Car-Value-Prediction

This is a comprehensive collection of resources, code, and documentation designed for the development and deployment of a machine learning model aimed at predicting the market value of cars based on various features.

Credit-Default-Risk-Prediction

This study addresses the application of Artificial Intelligence (AI) in the finance sector, focusing on predicting credit defaults. We explore various AI techniques, including logistic regression, decision trees, Naive Bayes, K-nearest neighbors, neural networks, Random Forest, and Gradient Boosting

E-Voting-with-Blockchain

The application of smart contracts within this infrastructure solidifies the authentication process, establishing a resilient defense against potential cyber threats and unauthorized access.

fine-tuned-transformer-models

A repository containing fine tuned versions of the BART, T5 and PEGASUS transformer models trained on the BBC News and CNN/Daily Mail datasets

House-Price-Prediction

This project aims to predict the median housing prices in California districts based on demographic and geographic data.

Multi-objective-Routing-Path-Optimization

The study shows an efficient method for improving communication efficiency in vehicle networks by using three optimisation algorithms, namely Dijkstra's Algorithm, Ant Colony Algorithm and Genetic Algorithm tailored to the particular requirements of this situation.

mypackage

Room-Occupancy-Estimation

The objectives of this project involve understanding and analyzing the dataset explained earlier through machine learning techniques while applying robust feature selection algorithms and dimensionality reduction techniques such as Principal Component Analysis (PCA) to enhance the performance and interpretability of machine learning models.

Testing-with-cypress

Damithewiz/Multi-objective-Routing-Path-Optimization

The study shows an efficient method for improving communication efficiency in vehicle networks by using three optimisation algorithms, namely Dijkstra's Algorithm, Ant Colony Algorithm and Genetic Algorithm tailored to the particular requirements of this situation.

Damithewiz/Car-Value-Prediction

This is a comprehensive collection of resources, code, and documentation designed for the development and deployment of a machine learning model aimed at predicting the market value of cars based on various features.

Damithewiz/Credit-Default-Risk-Prediction

This study addresses the application of Artificial Intelligence (AI) in the finance sector, focusing on predicting credit defaults. We explore various AI techniques, including logistic regression, decision trees, Naive Bayes, K-nearest neighbors, neural networks, Random Forest, and Gradient Boosting

Damithewiz/E-Voting-with-Blockchain

The application of smart contracts within this infrastructure solidifies the authentication process, establishing a resilient defense against potential cyber threats and unauthorized access.

Damithewiz/fine-tuned-transformer-models

A repository containing fine tuned versions of the BART, T5 and PEGASUS transformer models trained on the BBC News and CNN/Daily Mail datasets

Damithewiz/House-Price-Prediction

This project aims to predict the median housing prices in California districts based on demographic and geographic data.

Damithewiz/mypackage

Damithewiz/Room-Occupancy-Estimation

The objectives of this project involve understanding and analyzing the dataset explained earlier through machine learning techniques while applying robust feature selection algorithms and dimensionality reduction techniques such as Principal Component Analysis (PCA) to enhance the performance and interpretability of machine learning models.

Damithewiz/Testing-with-cypress