CS539-Machine_Learning

Machine learning project on H1B visa status prediction.
We need to have an anaconda environment to perfrom the project. The H1Bdataanalysis.ipynb file is where the data preprocessing was done. After the data pre-proecessing, we also perform the random forest model in the same file. To perfrom other models like support vector classifier, neural networks and logistic regresssion, run the logistic_SVC_NN.ipynb file after preprocessing.. To visualize what we have done, we created an interface which can be viewed by running the app.py file. When you run the app.py file, copy and paste the url in a browser and use the project as a web application. Due to the volume of the dataset, it will take a minute to compute the decision. Here is a link to our website:- https://sites.google.com/view/cs539project-h1bcaseprediction/home