Tarek Amr (Books)

Tarek Amr Books

This author bridges extensive experience in data science and machine learning with a long-standing proficiency in Python programming. Holding a postgraduate degree from the UK and practical experience gained in startups and scale-ups in Egypt and the Netherlands, they bring a unique perspective. Previous roles as an Information Security Consultant and Presales Manager have equipped them with a broad technical insight. Their aim is to challenge the old adage of being a 'jack of all trades' and demonstrate mastery across diverse fields.

Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits

A practical guide to implementing supervised and unsupervised machine learning algorithms in Python

384 pages
14 hours of reading

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Explore the integration of scikit-learn with essential tools like NumPy, pandas, imbalanced-learn, and scikit-surprise to effectively tackle real-world machine learning challenges. This book provides practical insights and techniques, guiding readers through the application of these libraries to enhance their machine learning projects and improve data analysis skills. Ideal for those looking to deepen their understanding of machine learning implementations, it emphasizes hands-on problem-solving and real-world applications.