You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

#Student placement Prediction System

#Overview This project predicts whether a student will be placed based on Academic performances and skills-based features using Machine Learning

#Features -Data Preprocessing -Random Forest model learning -Prediction System -Streamlit Web App -real-time prediction

#Tech Stack -Python -Pandas,NumPy -Scikit-learn -Streamlit

#Input Features -Gender -10th Board and marks -12th Board and marks -Stream -CGPA -Internships -Training -Backlog -Innovative -Communications Skills -Techincal Course

#Output -Placed/Not Placed

#project structure data/ sample.csv notebooks/ eda:ipynb src/ train-model.py predict.py app.py requirements.txt README.md

#How to run 1.Install all dependencies pip install -r requirements.txt 2.train the model cd src/train_model.py 3.Run the streamlit app streamlit run app.py

#Author Nithyashree .L

title:StudentPlacement

colorFrom:blue

colorTo:purple

sdk:streamlit

app_file:app.py

Downloads last month: -; Downloads are not tracked for this model. How to track

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support