Project · Machine learning · Sep – Oct 2022 · Prof. Parag Singla

Text and image classification

Implemented Naive Bayes for movie-review sentiment and a neural network for ten-class Fashion-MNIST classification.

Probabilistic text classification

Implemented a Naive Bayes text classifier for sentiment prediction from movie reviews, working with a classical probabilistic approach to supervised NLP.

Neural image classification

Constructed a neural network for Fashion-MNIST, classifying 28 × 28 grayscale images into ten categories of clothing. Together, the tasks covered probabilistic and neural approaches across text and image inputs.

Naive Bayes
Neural networks
Sentiment analysis
Fashion-MNIST