Ensemble-Learning
EasyVisa Project
- Project completed as part of Great Learning's Postgraduate Program - Data Science and Business Analytics
- 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