Kalyan Chilakamarri's Projects
Applied sentiment analysis models, namely Vader and Roberta, on Amazon customer reviews datasets
ASU applied project-PetSmartβs Sentiment Analysis and Competitor Analysis. Achieved an accuracy, precision, and recall rate of approximately 75%
Learned to develope a book recommendation model using the k-nearest neighbor algorithm
Learned to develop decision tree and random forest algorithms, incorporating hyperparameter tuning techniques such as random search and grid search
Six Sigma Green Belt-Enhanced inventory planning process by implementing ML ARIMA model
Implemented decision tree and linear SVM algorithms on healthcare datasets to predict stroke likelihood for patients, achieving model accuracies of 79% and 93% respectively