ascender1729/CollegeAdmissionLogisticRegression
Predictive analysis using logistic regression to determine college admissions based on CET scores. This project includes detailed steps for data preparation, model training, and evaluation using Python and scikit-learn in a Jupyter Notebook environment.
No commits in the last 6 months.
Stars
3
Forks
2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Apr 13, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ascender1729/CollegeAdmissionLogisticRegression"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
FaizanZaheerGit/StudentPerformancePrediction-ML
This is a simple machine learning project using classifiers for predicting factors which affect...
AbhishekMali21/STUDENT-GRADE-ANALYSIS-PREDICTION
Given a dataset containing attribute of 396 Portuguese students where using the features...
Sagargupta16/LeetCode_Rating_Predictor
Full-stack LeetCode contest rating predictor. Dense neural network (15 features, 244K records,...
RobertoFalconi/GameRatingsPredictor
Machine learning algorithm solves multi-class classification problem of video games content...
skprasad117/Predicting-Student-Performance-Using-Machine-Learning
Using machine learning algorithms, this project aims to predict student performance in...