US Airline Sentiment

Twitter possesses 330 million monthly active users, which allows businesses to reach a broad population and connect with customers without intermediaries. On the other hand, there’s so much information that it’s difficult for brands to quickly detect negative social mentions that could harm their bu

Coffee Price Prediction

● Performed multiple types of regression and hyperparameter tuning. Built pipeline for the final model. ● Random forest regressor provides the best results with 90% R-squared and 3.7 MAE, hence this model can be used further for predictions ● This model can be used to automate material quality inspe

Licence Plate Recognition using Open CV and CNN

License Plate Recognition (Character Recognition) using OpenCV and CNN

Telecom Customer Churn Prediction using Logistic Regression

The project is to predict customer churning, with 21 predictor variables, whether a particular customer will switch to another telecom provider or not. In telecom terminology, this is referred to as churning and not churning, respectively.