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1. brain-tumor-mri-classification brain-tumor-mri-classification Public

   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-analysis customer-behavior-analysis Public

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

   Jupyter Notebook

3. tweet-sentiment-classification tweet-sentiment-classification Public

   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-recommendations yelp-neural-recommendations Public

   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-detection bayesian-changepoint-detection Public

   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-discovery dff-concept-discovery Public

   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