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feature-engineering-techniques

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MobinaMhr / Data-Science-Course-Projects-S2024

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Web Scraping, Introductory Data Analysis, Statistics Analysis Tools, Investigating Open-Ended Questions, Spotify Dataset Analysis Loss Functions, Regression, Feature Engineering Techniques, Dimensionality Reduction, Unsupervised Learning, Semi-Supervised Learning, LLMs

regression web-scraping semi-supervised-learning dimensionality-reduction data-analysis unsupervised-learning loss-functions large-language-models feature-engineering-techniques statistics-analysis spotify-dataset-analysis
  • Updated Aug 20, 2024
  • Jupyter Notebook

Lucky-akash321 / End-to-End-Machine-Learning-Projects

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End-to-end machine learning projects involve the complete process of developing a machine learning model, starting from data collection and preprocessing to training, evaluation, and deployment. These projects encompass data exploration, feature engineering, model selection, performance evaluation, and integration with production systems

machine-learning-model-deployment data-collection-and-preprocessing model-training-and-tuning feature-engineering-techniques performance-evaluation-metrics real-time-prediction-systems automation-in-ml-pipelines model-monitoring-and-maintenance
  • Updated Feb 25, 2025
  • Jupyter Notebook

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