Projects - Visa Approval Prediction

Visa Approval Prediction

Link to the deployed model to do prediction:
http://54.237.198.171:8080

Github Link of the project: Click here

Problem statement
The Immigration and Nationality Act (INA) of the US permits foreign workers to come to the United States to work on either a temporary or permanent basis. The act also protects US workers against adverse impacts on the working place and maintains requirements when they hire foreign workers to fill workforce shortages. The immigration programs are administered by the Office of Foreign Labor Certification (OFLC).

OFLC gives job certification applications for employers seeking to bring foreign workers into the United States and grants certifications.
As In last year the count of employees was huge so OFLC needs Machine learning models to shortlist visa applicants based on their previous data.

In this project we are going to use the data given to build a Classification model:

This model is to check if Visa get approved or not based on the given dataset.
This can be used to Recommend a suitable profile for the applicants for whom the visa should be certified or denied based on the certain criteria which influences the decision.

Life cycle of Machine learning Project

Understanding the Problem Statement
Data Collection
Exploratory data analysis
Data Cleaning
Data Pre-Processing
Model Training
Choose best model

Models that were tried out:

Random Forest
Decision Tree
Gradient Boosting
Logistic Regression
K-Neighbors Classifier
XGBClassifier
CatBoosting Classifier
Support Vector Classifier
AdaBoost Classifier

Components of the training pipeline

Data Ingestion
Data Validation
Data Transformation
Model Trainer
Model Evaluation
Model Pusher
Deployment

1) Problem Statement, EDA, Hyperparameter tuning and Model training
Watch the youtube video on my channel explaining this part of the project

Problem Statement, EDA & Model Training | Visa approval prediction (END-to-END project)

2) MongoDB & Folder Structure of the project
Watch the youtube video on my channel explaining this part of the project

Adding Data to MongoDB & Folder Structure | Visa approval prediction (END-to-END ml project)

3) Custom logging & Exception
Watch the youtube video on my channel explaining this part of the project