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1. brain-tumor-mri-classificationbrain-tumor-mri-classificationPublic

   Deep learning modelling using EfficientNet B3 for brain tumor classification from MRI images to improve early diagnosis and treatment outcomes.

   Jupyter Notebook

2. customer-behavior-analysiscustomer-behavior-analysisPublic

   Analysis of Starbucks customer behaviour using transactional, demographic, and marketing interaction data to evaluate spending patterns and promotional effectiveness.

   Jupyter Notebook

3. tweet-sentiment-classificationtweet-sentiment-classificationPublic

   Sentiment analysis of Dell tweets using XLNet to classify emotions as positive, negative, or neutral, aiding strategic business adjustments based on customer feedback.

   Jupyter Notebook

4. yelp-neural-recommendationsyelp-neural-recommendationsPublic

   Neural Collaborative Filtering system for personalized restaurant recommendations, trained on Yelp's dataset, combining GMF and MLP for advanced user-item interaction understanding.

   Jupyter Notebook

5. bayesian-changepoint-detectionbayesian-changepoint-detectionPublic

   Statistical change-point detection on UK coal mining disaster data (1851-1962) using Bayesian optimization to identify significant shifts in disaster rates.

   Jupyter Notebook

6. dff-concept-discoverydff-concept-discoveryPublic

   Implementation of Deep Feature Factorization to unravel and visualize high-level concepts learned by CNNs, based on methodologies from ECCV 2018’s 'Deep Feature Factorization for Concept Discovery'.

   Python