Found 272 repositories(showing 30)
anandsinha07
An innovative automation in placement prediction system using Machine Learning Algorithms.
mirzayasirabdullahbaig07
An AI-powered interactive web application built with Streamlit that predicts whether a candidate will get placed in a job (or admitted) based on academic performance and other features.
mohammadwasiq0
Student Campus-Placement Prediction ML Project using Python
Ashish123897
Campus placement Prediction using ML
Samadrita-data
Student placement prediction using ML with python
611noorsaeed
No description available
rameshgyawali127
No description available
nikhil8052
Predict your placements and make yourself ready for getting place with our placement prediction tool. Technology used for this project are HTML,CSS,JavaScript,BootStrap,JQuery for frontend. PHP and Python for backend. Machine Learning algorithm for prediction based on percentile of student.
vishal952
Placement prediction ML project
riteshdwivedi-creator
Student placement prediction ML model
richasriva
No description available
vipul123-space
No description available
Ishaan0901
No description available
Vikesh-cse
No description available
MohdabdulSameer
No description available
SanjanaUprety09
No description available
Amrit-kaur-github
Placement-Prediction-using-Machine-learning after camparing with other models we get to knnow that We can either use Decission Tree Classifier or Random Forest Classifier because these both model has same accuracy i.e. 88.72053872053873 %
Robbin808
Model will predict whether student will get placement or not by providing his/her CGPA & IQ.
Rakshit152
Multiple Linear Regression model to predict placement packages
Yash-0223
Machine Learning, Python (Pandas, SK Learn, Seaborn, Matplotlib, NumPy etc.)
riteshyadav-345
No description available
mahimakela
Campus placement prediction is the process of using machine learning (ML) techniques to predict whether a student will be placed in a job during campus recruitment drives. This prediction helps colleges, students, and recruiters understand the chances of getting hired based on various factors.
DhiyaDhilip
Machine learning classification project to predict student placement outcomes using Random Forest. Includes EDA, feature engineering, model evaluation based on accuracy, and deployment as an interactive Streamlit web application with Joblib model saving.
AutoML in empowers users to automate the entire machine learning pipeline, from data preprocessing to model deployment, through user-friendly libraries like scikit-learn, TensorFlow AutoML, and H2O.ai. By automating tasks like model selection, hyperparameter tuning, and feature engineering, Python-based AutoML frameworks make machine learning
javking-pranesh
AI/ML powered student placement prediction system with React frontend and Flask backend
No description available
ANEENA1204
it is an ML model focusing on placement prediction, created using kaggle recruitment dataset
aditi-garg-0
Placement prediction ML project using CGPA and IQ for learning end-to-end machine learning workflows.
bishnutosh-p
ML classification project that predicts student campus placements based on a dataset of academic and demographic features. This project involves data preprocessing, model training, and evaluation to provide insights into the factors influencing placement outcomes and to enhance prediction accuracy.
joevitajose
A full-stack placement management system with ML-based job eligibility prediction, real-time notifications, mock test automation, and admin dashboards. Built using Python, Node.js, Express.js, and PostgreSQL.