Onome-Joseph
I’m a Data Scientist specializing in all forms of Machine Learning, NLP, Automation and Deployment.
University of Nigeria, NsukkaNigeria
Pinned Repositories
AI-Text-Summary
This project simplifies lengthy articles, news, passages, or text into concise summaries based on the desired number of sentences.
Flight-Machine-Learning-model
This project implements a Flight Price and Duration Prediction Machine Learning Model. Built to predict both flight price and duration due to their interrelated nature.
Heart-Attack-Prediction
This project estimates the likelihood of a heart attack for a patient based on their health parameters. The model uses the Random Forest algorithm and achieves very high accuracy.
ML-Fraud-Dectection
This project is designed to identify fraudulent transactions with high accuracy.
ML-Sales-Prediction
This repository contains a Sales Prediction Machine Learning Model built to predict sales from a set of features with very high accuracy
NBA-match-prediction
The model predicts whether a team will win or lose based on player performance statistics from the 2024/25 NBA season.
Recommender-system-for-Games
This project is designed to suggest games to users based on the games they recently played. By leveraging a correlation-based algorithm, the system identifies and recommends games that align with the user's preferences.
Song-Recommender-system
This project is designed to suggest songs to users based on their listening habits. Using K-means clustering, the system groups songs by their attributes and recommends songs that align with the user's preferences.
NLP_CNN_Classification
This project implements accurate tags or specifications to problems, or user complaints based on input text. The model is designed using neural networks to process data quickly and deliver high-performance results.
Onome-Joseph
Config files for my GitHub profile.
Onome-Joseph's Repositories
Onome-Joseph/NLP_CNN_Classification
This project implements accurate tags or specifications to problems, or user complaints based on input text. The model is designed using neural networks to process data quickly and deliver high-performance results.
Onome-Joseph/text-preprocess
This is a well-built text preprocessing package.
Onome-Joseph/AI-Text-Summary
This project simplifies lengthy articles, news, passages, or text into concise summaries based on the desired number of sentences.
Onome-Joseph/NBA-match-prediction
The model predicts whether a team will win or lose based on player performance statistics from the 2024/25 NBA season.
Onome-Joseph/Onome-Joseph
Config files for my GitHub profile.
Onome-Joseph/ML-Fraud-Dectection
This project is designed to identify fraudulent transactions with high accuracy.
Onome-Joseph/Heart-Attack-Prediction
This project estimates the likelihood of a heart attack for a patient based on their health parameters. The model uses the Random Forest algorithm and achieves very high accuracy.
Onome-Joseph/Song-Recommender-system
This project is designed to suggest songs to users based on their listening habits. Using K-means clustering, the system groups songs by their attributes and recommends songs that align with the user's preferences.
Onome-Joseph/Recommender-system-for-Games
This project is designed to suggest games to users based on the games they recently played. By leveraging a correlation-based algorithm, the system identifies and recommends games that align with the user's preferences.
Onome-Joseph/Flight-Machine-Learning-model
This project implements a Flight Price and Duration Prediction Machine Learning Model. Built to predict both flight price and duration due to their interrelated nature.
Onome-Joseph/ML-Sales-Prediction
This repository contains a Sales Prediction Machine Learning Model built to predict sales from a set of features with very high accuracy