Add a project called as "Heart Disease Detection using ML"

[NANDAGOPALNG]

🔍 Problem Description:
Heart disease remains one of the leading causes of mortality worldwide, posing a significant challenge to public health systems. Early detection of heart disease can lead to timely interventions, improved patient outcomes, and reduced healthcare costs. However, diagnosing heart disease often involves complex medical tests, subjective evaluation by healthcare professionals, and high expenses, which can delay diagnosis and treatment.

🧠 Model Description:
The "Heart Disease Detection Using ML" project leverages machine learning techniques to predict the likelihood of heart disease in individuals based on various health metrics and risk factors. By analyzing medical data, this model aims to assist healthcare professionals in early detection and proactive management of heart-related conditions.

⏲️ Estimated Time for Completion:
1-3 days

🎯 Expected Outcome:
The model predicts the probability of heart disease on a scale of 0 to 1 or as a binary classification (e.g., "Presence" or "Absence").

📄 Additional Context:

To be Mentioned while taking the issue:

• What is your participant role? SWOC

Note:

• Please review the project documentation and ensure your code aligns with the project structure.
• Please ensure that either the predict.py file includes a properly implemented model_details() function or the notebook contains this function to print a detailed model report. The model will not be accepted without this function in place, as it is essential for generating the necessary model details.
• Prefer using a new branch to resolve the issue, as it helps keep the main branch stable and makes it easier to manage and review your changes.
• Strictly use the pull request template provided in the repository to create a pull request.