Student Performance Prediction App using Streamlit |ML Tutorial|With Source Code

This innovative app predicts student performance based on various parameters such as study hours, attendance, and prior academic performance. Built with Streamlit, it provides an easy-to-use interface for teachers and educational institutions to analyze and forecast student outcomes. The app leverages machine learning algorithms to give real-time predictions and visualizations, making it an ideal tool for educators looking to identify students who may need additional support.
#Student Performance Prediction #Streamlit App #Machine Learning
#Education Technology #Performance Forecasting
#Student Analysis #AI in Education #Education App #Study Prediction
#Student Data #Educational Insights #Student Analytics
#Learning Outcomes #School App #Educational Tool #Teaching Insights
#Student Support
SOURCE CODE:
https://github.com/nazishjaveed/Stude...