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The goal of my project is to predict if an H1B1 visa can be certified or not using DoL dataset from fiscal year (Oct 1, 2017- Sept 30, 2018). To make this happen, I used ML supervised models

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sheikita/H1B1-Prediction-Model

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Sprinboard-Capstone 1: Building a model to predict if H1B visa application will be certified or not

Repository will include code notebooks/reports for Capstone Project I

  1. Final notebook " Capstone P1- H1B Dataset-V2ML-Main.ipynb" with Supervised ML code is on Classification Models Folder

    • Gradient Boosting
    • Random Forest
    • Logistc Regression
    • Decision Tree
  2. Results from the models are available in ML results folder:

  3. Notebooks containing data wrangling, inferential statistical analysis are available at EDA-Transformation folder

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The goal of my project is to predict if an H1B1 visa can be certified or not using DoL dataset from fiscal year (Oct 1, 2017- Sept 30, 2018). To make this happen, I used ML supervised models

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