Credit Card Fraud Detection using Support Vector Machine Algorithm in High Imbalance Dataset

Fraudulent in credit card is the most widespread issue, costing many consumers and certain banks and credit card companies a lot of money. This research introduced an SVM Model with SMOTE for detection of fraudulent act in the credit card transaction in a highly skewed dataset.

Youtube Statistical Analysis

This project analyzed the percentage earnings by continents and countries and the most popular channels viewed by people across the continents.

Road Accident Analysis with PowerBI

The purpose of this project is to analyze data on traffic accidents in order to find trends and important information about the people who were injured. The initiative will use a variety of key performance indicators (KPIs) to analyze the severity and impact of traffic accidents.

AI Animal Identifier with Python and TensorFlow

This is a deep learning model trained to predict animals. Ten animals were selected to train the model, the ten animals are: Butterfly, Cat, Chicken, Dog, Elephant, Horse, Squirrel, Spider, Sheep and Cow.

An Enhanced Malware Detection Model in Android Devices using Machine Learning Algorithms

Using Malware datasets, the effectiveness of several well-known machine learning classifiers, including SVM, NB, ANN and DT, The results showed that the ensemble voting for all the algorithms used performed well in terms of accuracy, precision score, recall, and F1 score.

SOFTWARE DEFECT PREDICTION USING SELECTED MACHINE LEARNING TECHNIQUES

Software Development Process (SDP) is a methodical methodology that makes it easier to produce high-quality, reasonably priced software in a timely manner to satisfy client needs. Some techniques were utilized such SVM, RPT, RF, ANN. RPT outperforms several other models in terms of accuracy.

Water Quality Monitoring System using Recurrent Neural Networks (RNNs) Algorithm

The effectiveness of Temprature, pH, Salinity and specific conductance on LSTM model were investigated in this project. The best indicator for water quality monitoring system was obtained by applying these approaches to the water quality dataset.

An Enhanced Logistics Regression Algorithm for Type 2 Diabetes Prediction

This particular diabetes prediction task is selected because diabetes mellitus is the prime factor that leads to other life-threatening cardiovascular diseases. The increasing number of diabetes patients in the globe has alarmed the medical sector to seek alternatives to improve their medical tools.

Student Enrollment Analysis

The dashboard provides an overview of student enrollment analysis for Al-Hikmah University, Ilorin, from the academic year 2020/2021 to 2023/2024. To replicate success in other faculties/states, we would need to investigate the factors that contribute to the high enrollment in Kwara State.