Multiclass Classification with Multiple Models
Nikhil Poojari
● Implemented a variety of machine learning models (CNN, RNN, ANN, LSTM, BiLSTM) to tackle complex multiclass classification challenges in an eight-class cancer dataset. Achieved an average classification accuracy of 90% across all models, showcasing proficiency in model selection and development.
● Orchestrated collaboration with faculty to conceptualize, develop, and evaluate advanced machine learning models, culminating in comprehensive classification reports that led to a 20% increase in accuracy metrics.
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Posted Jul 25, 2024
Implemented CNN, RNN, ANN, LSTM, and BiLSTM models for an eight-class cancer dataset, achieving 90% accuracy.
