You will get AI-Powered Intelligent Heart Disease
Project details
This AI-powered Heart Disease Prediction project helps identify the likelihood of heart disease using Machine Learning techniques and medical datasets. The project stands out by combining accurate predictive models, clean data preprocessing, feature engineering, and performance evaluation into one complete healthcare analytics solution.
The workflow includes data cleaning, visualization, model training, testing, and evaluation using algorithms such as Logistic Regression, Random Forest, and other classification models. The system also provides insights through performance metrics like Accuracy Score, Confusion Matrix, and ROC Curve analysis.
With experience in AI, Data Science, and real-world healthcare projects, I focus on delivering a professional, well-documented, and scalable solution that can be used for academic projects, portfolios, research purposes, or healthcare innovation ideas. The final delivery will include clean code, trained models, documentation, and project explanation with high-quality results.
The workflow includes data cleaning, visualization, model training, testing, and evaluation using algorithms such as Logistic Regression, Random Forest, and other classification models. The system also provides insights through performance metrics like Accuracy Score, Confusion Matrix, and ROC Curve analysis.
With experience in AI, Data Science, and real-world healthcare projects, I focus on delivering a professional, well-documented, and scalable solution that can be used for academic projects, portfolios, research purposes, or healthcare innovation ideas. The final delivery will include clean code, trained models, documentation, and project explanation with high-quality results.
Machine Learning Tools
MLflow, NumPy, scikit-learn, XGBoostWhat's included $15
These options are included with the project scope.
$15
- Delivery Time 5 days
- Number of Revisions 3
- Number of Graphs/Charts 5
- Model Validation/Testing
- Model Documentation
- Source Code
Optional add-ons
You can add these on the next page.
Fast 3 Days Delivery
+$10
Additional Model Variation
(+ 2 Days)
+$15
Additional Graph/Chart
(+ 1 Day)
+$5About Youssef
Machine Learning Engineer
Zagazig, Egypt - 12:03 am local time
Skilled in Python, scikit-learn, XGBoost, pandas, NumPy, and Jupyter Notebooks, with experience in Django REST APIs for serving ML models.
I handle full project workflows from start to finish — from data preprocessing and feature engineering to model training, evaluation, and deployment.
Communication is key, so I’ll make sure to keep you updated at every step of the project.
Steps for completing your project
After purchasing the project, send requirements so Youssef can start the project.
Delivery time starts when Youssef receives requirements from you.
Youssef works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
Client shares project requirements, dataset details, preferred algorithms, and expected outputs.
Data Preprocessing & Cleaning
Clean missing values, handle outliers, encode features, and prepare the dataset for training.