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