Recognizing hand written digits with the use of neural networks end to end project.
-
Updated
May 19, 2025 - Jupyter Notebook
Recognizing hand written digits with the use of neural networks end to end project.
This project involves the development of a complete ML pipeline with tracking and deployment capabilities.
An intelligent ML-powered House Price Predictor built with Python, Scikit-Learn, and Streamlit. 🚀 Includes full EDA, multiple regression models, and a clean interactive dashboard for real-time price predictions.
🏠 Predict house prices in real-time using advanced machine learning models with an easy-to-use web interface for insightful data analysis.
Add a description, image, and links to the endtoendml topic page so that developers can more easily learn about it.
To associate your repository with the endtoendml topic, visit your repo's landing page and select "manage topics."