Python KNN model: Predicting a probability of getting a work visa. Tableau: Non-immigrant visas over the years.

Overview

The value of international students to the United States. Probability of getting a non-immigrant visa.

Project timeline: Jan 2021 - April 2021

Project team:

  • Zinaida Dvoskina (myself)
  • Kirill Ilin
  • Johnathan Conley
  • Cindy Ye Fung

Analyzed publicly available data on the U.S. non-immigrant visa acquisition. To conduct research, used publicly available data from the USCIS (the number of visas issued per country, category, the political party in office, and year) and from the US Department of Labor Office of Foreign Labor Certification (employment-based immigration applications: applicant’s received dates, decision dates, the most recent date a case determination decision was issued, etc.).

Created a Tableau timelapse, showing the world map, where visa numbers can be filtered by region, country, and compared between years. Other visualizations showed no strong trend to justify that the political party in office affects the likelihood of a foreigner obtaining a visa.

Visa Time Lapse Visa by Year and Party Visa Cat Working

Created a KNN model for classification with the following variables as predictors: Received month, Agent representing employer, Annual wage rate, Annual prevailing wage, PW wage level, H-1B dependent status, Support H1B status. Datasets are populated with approved results of visa applications - almost 97%. That resulted in highly biased prediction models towards positive outcomes, which means the model wasn’t very trustworthy, even though it performed very well predicting positive outcomes for visa approval.

To solve the problem, randomly eliminated data points and aligned the number of positive and negative outcomes for a more correct prediction. Due to computing power, had to limit the number of predictors to 3: Full Time Position, PW, and New Employer, and the model was only run for 2020.

A new KNN model run on undersampled data showed results not biased towards a positive outcome. Chosen predictors had an impact on visa decisions, however, only in approximately 60% of cases. Further increase in the number of predictors could improve the model.

An interesting finding was that software engineers are at the top job title to obtain a working visa; however, they have the most denials.


In this repository you can find our code, Tableau workbooks, project report and a presentation with our major findings. The data file is too big to upload here.

Owner
Zinaida Dvoskina
Marketing Data Analyst. Master of Science in Business Analytics.
Zinaida Dvoskina
Official Pytorch implementation of ICLR 2018 paper Deep Learning for Physical Processes: Integrating Prior Scientific Knowledge.

Deep Learning for Physical Processes: Integrating Prior Scientific Knowledge: Official Pytorch implementation of ICLR 2018 paper Deep Learning for Phy

emmanuel 47 Nov 06, 2022
A comprehensive list of published machine learning applications to cosmology

ml-in-cosmology This github attempts to maintain a comprehensive list of published machine learning applications to cosmology, organized by subject ma

George Stein 290 Dec 29, 2022
[CVPR 2022] TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing

TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing (CVPR 2022) This repository provides the official PyTorch impleme

Billy XU 128 Jan 03, 2023
A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!

A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!

Evan 1.3k Jan 02, 2023
A deep learning CNN model to identify and classify and check if a person is wearing a mask or not.

Face Mask Detection The Model is designed to check if any human is wearing a mask or not. Dataset Description The Dataset contains a total of 11,792 i

1 Mar 01, 2022
This is a demo app to be used in the video streaming applications

MoViDNN: A Mobile Platform for Evaluating Video Quality Enhancement with Deep Neural Networks MoViDNN is an Android application that can be used to ev

ATHENA Christian Doppler (CD) Laboratory 7 Jul 21, 2022
CC-GENERATOR - A python script for generating CC

CC-GENERATOR A python script for generating CC NOTE: This tool is for Educationa

Lêkzï 6 Oct 14, 2022
PyGRANSO: A PyTorch-enabled port of GRANSO with auto-differentiation

PyGRANSO PyGRANSO: A PyTorch-enabled port of GRANSO with auto-differentiation Please check https://ncvx.org/PyGRANSO for detailed instructions (introd

SUN Group @ UMN 26 Nov 16, 2022
SMD-Nets: Stereo Mixture Density Networks

SMD-Nets: Stereo Mixture Density Networks This repository contains a Pytorch implementation of "SMD-Nets: Stereo Mixture Density Networks" (CVPR 2021)

Fabio Tosi 115 Dec 26, 2022
A PyTorch Implementation of Neural IMage Assessment

NIMA: Neural IMage Assessment This is a PyTorch implementation of the paper NIMA: Neural IMage Assessment (accepted at IEEE Transactions on Image Proc

yunxiaos 418 Dec 29, 2022
code and models for "Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation"

Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation This repository contains code and models for the method described in: Golnaz

55 Jun 18, 2022
Implementation of our paper 'RESA: Recurrent Feature-Shift Aggregator for Lane Detection' in AAAI2021.

RESA PyTorch implementation of the paper "RESA: Recurrent Feature-Shift Aggregator for Lane Detection". Our paper has been accepted by AAAI2021. Intro

137 Jan 02, 2023
Tensorflow 2 implementations of the C-SimCLR and C-BYOL self-supervised visual representation methods from "Compressive Visual Representations" (NeurIPS 2021)

Compressive Visual Representations This repository contains the source code for our paper, Compressive Visual Representations. We developed informatio

Google Research 30 Nov 23, 2022
Wordle Env: A Daily Word Environment for Reinforcement Learning

Wordle Env: A Daily Word Environment for Reinforcement Learning Setup Steps: git pull [email&#

2 Mar 28, 2022
EMNLP'2021: SimCSE: Simple Contrastive Learning of Sentence Embeddings

SimCSE: Simple Contrastive Learning of Sentence Embeddings This repository contains the code and pre-trained models for our paper SimCSE: Simple Contr

Princeton Natural Language Processing 2.5k Dec 29, 2022
Activity tragle - Google is tracking everything, we just look at it

activity_tragle Google is tracking everything, we just look at it here. You need

BERNARD Guillaume 1 Feb 15, 2022
This repository is an official implementation of the paper MOTR: End-to-End Multiple-Object Tracking with TRansformer.

MOTR: End-to-End Multiple-Object Tracking with TRansformer This repository is an official implementation of the paper MOTR: End-to-End Multiple-Object

348 Jan 07, 2023
Using the provided dataset which includes various book features, in order to predict the price of books, using various proposed methods and models.

Using the provided dataset which includes various book features, in order to predict the price of books, using various proposed methods and models.

Nikolas Petrou 1 Jan 13, 2022
Realtime micro-expression recognition using OpenCV and PyTorch

Micro-expression Recognition Realtime micro-expression recognition from scratch using OpenCV and PyTorch Try it out with a webcam or video using the e

Irfan 35 Dec 05, 2022
Patch2Pix: Epipolar-Guided Pixel-Level Correspondences [CVPR2021]

Patch2Pix for Accurate Image Correspondence Estimation This repository contains the Pytorch implementation of our paper accepted at CVPR2021: Patch2Pi

Qunjie Zhou 199 Nov 29, 2022