Simple web applications using streamlit and python

1. The binary_classifier.py is a simple but powerful machine learning web application which supports three machine learning algorithms namely SVM, Random Forest and Logistic Regression. Currently it supports only Mushrooms Dataset available on UCI ML repository. The user can select various parameters to tune the model and can vizualize metrics like confusion matrix, ROC curve and Precision-Recall Curve.

2. airlines_tweet.py is another simple streamlit web application which helps to analyze the performance of various airlines in the United States based on the tweets of users. The users can select number of airlines as per their requirement for comparison. It generates bar charts and pie charts along with a facility to generate word cloud based on the sentiments of the user.