Machine Learning project predicting mental health treatment using survey data | Python Random Forest

Описание: In this video, I explain an end-to-end Machine Learning project that predicts whether an individual is likely to seek mental health treatment based on survey responses.

🧠 Project Summary:
This project uses supervised machine learning to analyze behavioral, social, and workplace-related factors influencing mental health treatment decisions.

⚙️ Tools & Technologies:
• Python
• Pandas & NumPy
• Scikit-learn
• Random Forest Classifier
• Matplotlib & Seaborn
• Google Colab

📊 What you will learn:
• Data preprocessing and categorical encoding
• Train-test split and model training
• Model evaluation using accuracy, confusion matrix, and classification report
• Feature importance and model explainability

⚠️ Disclaimer:
This project is for educational purposes only and is not a medical diagnostic system.

🔗 GitHub Repository:
https://github.com/athulyaesther777/P...

If you are learning Machine Learning, Data Science, or AI, this video will help you understand how real-world ML projects are built.

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