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1. Graph-Convolutional-Network-Anti-Cancer-Drug-Activity-Prediction Graph-Convolutional-Network-Anti-Cancer-Drug-Activity-Prediction Public

   The goal of the competition is to develop machine learning models that can accurately classify whether a given compound has activity against non-small cell lung cancer. Each sample is represented a…

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2. ContractNLI-using-BERT ContractNLI-using-BERT Public

   Natural language inference (NLI): Document-level three-class classification (one of Entailment, Contradiction or NotMentioned). Evidence identification: Multi-label binary classification over span_…

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3. Fake-Reddit-Prediction Fake-Reddit-Prediction Public

   both classical machine learning and deep learning techniques are applied to preprocessed text data to automatically learn linguistic patterns that differentiate fake from real news titles.

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4. Financial-Named-Entity-Recognition-using-BERT Financial-Named-Entity-Recognition-using-BERT Public

   The goal of this project is to build a Named Entity Recognition (NER) model to extract key financial metrics like revenue, expenses, profit etc. from earnings call transcripts.

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5. PySpark-Social-Media-sentiment-analysis PySpark-Social-Media-sentiment-analysis Public

   performing sentiment analysis on social media data. The project uses the sentiment140 dataset from Kaggle, which contains 1.6 million tweets annotated with positive, negative, or neutral polarity. …

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6. RFM-Analysis-Customer-segmentation RFM-Analysis-Customer-segmentation Public

   Performing customer segmentation and analysis for Elo, a Brazilian payment brand, using various techniques such as RFM analysis, rule-based segmentation, clustering, PCA, and frequent pattern mining.

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