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1. sentinel2-dl-deforestation sentinel2-dl-deforestation Public

   An end-to-end deep learning project for forest change analysis in Colombia, using a U-Net model trained on Sentinel-2 and Dynamic World data from Google Earth Engine.

   Python 2 1

2. BoVW-vs-CNN-Object-Recognition BoVW-vs-CNN-Object-Recognition Public

   Comparing traditional SIFT-based BoVW models with deep learning CNNs for image classification on the Caltech256 and Portraits datasets. 🖼️📊

   Jupyter Notebook

3. Probabilistic_Classiffication_with_GMM Probabilistic_Classiffication_with_GMM Public

   Probabilistic Classification with Gaussian mixtures from scratch

   Jupyter Notebook

4. Climate_Projections_and_temperature_Forecasting Climate_Projections_and_temperature_Forecasting Public

   Forked from Reb-jon/Project-2

   This project explores and predicts temperature changes from 2000 to 2080 using a combination of exploratory data analysis (EDA), preprocessing, and machine learning models. We analyze various clima…

   Jupyter Notebook

5. Topic_Modeling_LDA_with_COVID19_Tweets Topic_Modeling_LDA_with_COVID19_Tweets Public

   By leveraging Latent Dirichlet Allocation (LDA), a cutting-edge topic modelling technique, this project takes a closer look at the world of COVID-19 Twitter discourse, seeking to uncover the most p…

   Jupyter Notebook

6. customer-churn-personalisation-with-llms customer-churn-personalisation-with-llms Public

   A proof-of-concept that combines a predictive churn model (TensorFlow/SHAP) with a generative email system (Google Gemini) to proactively retain at-risk customers.

   Jupyter Notebook