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1. sentiment-analyzer sentiment-analyzer Public

   ML web app that detects positive/negative sentiment in movie reviews with 83% accuracy. Built with Python, Scikit-learn, NLTK and Flask.

   Python

2. house-price-prediction house-price-prediction Public

   XGBoost model predicting California house prices with 83% accuracy. Compared Linear Regression, Random Forest and XGBoost. Python, Scikit-learn, Pandas.

   Python

3. cnn-weather-classifier cnn-weather-classifier Public

   ResNet18 CNN classifying weather images into 4 categories with 92% accuracy. Transfer Learning with PyTorch. Cloudy, Rain, Shine, Sunrise.

   Python

4. nlp-chatbot nlp-chatbot Public

   NLP chatbot built with HuggingFace Transformers answering ML and AI questions with semantic understanding. Python, Sentence-Transformers, Flask.

   Python