Keshavardhini V 's Projects
In this Python machine learning project, I built a model to detect Parkinsonโs disease using one of the Classifier techniques known as RandomForestClassifier . I load the dataset, get the features and targets, split them into training and testing sets, and finally pass them to RandomForestClassifier for prediction.
In this advanced python project, I took a political dataset, implemented a TfidfVectorizer, initialized a PassiveAggressiveClassifier, and fit to my model. I committed this project in CodeClause internship.
Python sentiment analysis is a methodology for analyzing a piece of text to discover the sentiment hidden within it. It accomplishes this by combining machine learning and natural language processing (NLP).I committed this project during my CodeClause internship.