GitHub / indu-explores-data / Visa-Approval-Prediction-using-ML
This project builds a predictive model to estimate visa approval likelihood using candidate and job-related features. It showcases an end-to-end machine learning workflow with EDA, feature engineering, and model tuning to automate parts of the visa evaluation process.
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PURL: pkg:github/indu-explores-data/Visa-Approval-Prediction-using-ML
Stars: 1
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 1.45 MB
Dependencies parsed at: Pending
Created at: 17 days ago
Updated at: 3 days ago
Pushed at: 3 days ago
Last synced at: 3 days ago
Topics: automation, classification-model, data-science, data-visualization, eda, end-to-end-ml, feature-engineering, gradient-boosting, machine-learning, model-tuning, predictive-analytics, python, random-forest, scikit-learn, visa-approval-prediction