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Data Science & Analytics

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Data Analytics for Corridor Management: Machine Learning Applications (2024)
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Excel Pivot Table Data Crunching: Microsoft 365 Guide (2021)
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Text Mining for Biomedical Data: Techniques & Approaches (2024)
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Machine Learning: First Course for Engineers & Scientists (2022)
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Model-Based Machine Learning: Theoretical & Practical Insights (2024)
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The Science of Machine Learning: Part 1 Fundamentals
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Principles of Data Science: Math & Coding Skills for ML Beginners (2024)
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Microsoft Excel 365 Bible: Comprehensive Guide (2022)
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Linear Algebra for Data Science: Essential for ML & Signal Processing (2024)
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Debugging ML Models with Python: High-Performance Machine Learning (2023)
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ML & Deep Learning for Medical Image Recognition: Advanced Techniques (2024)
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Machine Learning in 2D Materials Science: Applications & Techniques (2023)
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Data Science in Subsurface Engineering: Machine Learning Applications (2023)
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Bayesian Machine Learning in Geotechnical Site Characterization (2024)
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Text Mining: Big Data Concepts & Implementation (2nd Ed. 2024
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Recent Advances in Soft Computing & Data Mining: Proceedings (2024)
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Machine Learning Handbook: Data Mining & Knowledge Discovery (2023)
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Emotion Analysis with Python: ML Tools for NLP Sentiment Detection (2023)
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FastAPI for Data Science Apps: Efficient ML Development (2nd Ed. 2024)
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Excel Formulas & Functions (Office 2021 & Microsoft 365) Guide (2022)
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Unlock Deep Learning: Enhance Results with Advanced Techniques (2024)
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Machine Learning for Real-World Applications: Advanced Methods (2024)
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The Data Science Workshop: Build ML Models & Real-World Projects
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Network Science with Python: ML for Social & Network Analysis (2023)
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Data Analysis for Business Decisions: Excel, R & ChatGPT (2024)
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ML & Granular Computing: Synergistic Design for Complex Systems (2024)
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Machine Learning Engineering with Python: MLOps & Model Lifecycle (2023)
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Machine Learning Applications: A Quick Guide for Beginners
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