https://github.com/prneidhardt/ensemble-learning

EasyVisa Project
https://github.com/prneidhardt/ensemble-learning

bagging-ensemble boosting-ensemble stacking-ensemble

Last synced: about 1 year ago
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EasyVisa Project

• Host: GitHub
• URL: https://github.com/prneidhardt/ensemble-learning
• Owner: prneidhardt
• License: gpl-3.0
• Created: 2022-05-29T16:54:47.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2024-11-11T21:19:32.000Z (over 1 year ago)
• Last Synced: 2025-04-04T03:12:04.849Z (about 1 year ago)
• Topics: bagging-ensemble, boosting-ensemble, stacking-ensemble
• Language: Jupyter Notebook
• Homepage:
• Size: 1020 KB
• Stars: 4
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Ensemble-Learning

EasyVisa Project

- Project delivered in December 2021

- Repository includes two files:

  - Jupyter notebook with Python code written for data analysis and model building

  - CSV file includes data imported into notebook

## Problem Statement

- Analyze the data of visa applicants, build a predictive model to facilitate the process of approvals, and, based on important factors that significantly influence the status, recommend a suitable profile for the applicants for whom the visa should be certified or denied.

## Skills and Tools

- Exploratory Data Analysis (Variable identification, Univariate analysis, Bivariate analysis)

- Data Preprocessing

- Customer Profiling

- Bagging Classifiers (Bagging and Random Forest)

- Boosting Classifier (AdaBoost,Gradient Boosting,XGBoost)

- Stacking Classifier

- Hyperparameter Tuning using GridSearchCV