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1. EDACoL EDACoL Public

   This project refines the sea ice prediction model by advancing the "Attention-based Ensemble LSTM" architecture with the integration of CNNs, LSTMs, and attention mechanisms.

   Jupyter Notebook 3

2. Ensemble-LSTM-GBR-Model Ensemble-LSTM-GBR-Model Public

   This project predicts Arctic sea ice extent using an ensemble of Linear Regression, LSTM networks, and Gradient Boosting Regressors. The combined approach improves prediction accuracy and provides …

   Jupyter Notebook 2

3. Audio_Sentiment_Classification Audio_Sentiment_Classification Public

   This project preprocesses a Persian speech emotion detection dataset, extracting and padding MFCC features from audio files. It uses an LSTM model to classify emotions, evaluating performance with …

   Jupyter Notebook 3

4. SentiGerman SentiGerman Public

   SentiGerman classifies German text into positive, negative, and neutral sentiments using fine-tuned BERT and RoBERTa models. Trained on the SB10K dataset, it delivers accurate sentiment analysis wi…

   Jupyter Notebook 3

5. fair-and-interpretable-job-success-prediction fair-and-interpretable-job-success-prediction Public

   Predict job success using advanced ML techniques, with a focus on fairness and interpretability. 🤖⚖️

   Jupyter Notebook 3

6. Collaborative-Filtering-Movie-Recommender-system Collaborative-Filtering-Movie-Recommender-system Public

   Utilized the MovieLens dataset to train a recommender system, employing collaborative filtering and KNN algorithms. Investigated how adjusting K values influenced user-based, item-based, and conten…

   Python 3