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A collection of projects in Machine Learning, Deep Learning, and Natural Language Processing. Includes ML algorithms, neural network models using TensorFlow/PyTorch, and NLP tasks like text processing, embeddings, and language models. Explore practical implementations, innovative solutions, and research-driven work.
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9
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Incident Resolution Time Prediction using Machine Learning (XGBoost Model)
91e4ab5View on GitHubThe primary goal of this project is to enhance operational efficiency by identifying the most frequent problems and their underlying root causes from a dataset of 40,000 problem tickets. Additionally, the analysis aims to pinpoint seasonal trends in problem occurrence to support better resource allocation and proactive issue resolution.
6bd2f5dView on GitHub