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E-book Library
A curated collection of books and resources that have shaped my data science journey.
AllMachine LearningData AnalysisDeep Learning
Machine Learning
Hands-On Machine Learning
by Aurélien Géron
A practical guide to ML with Scikit-Learn, Keras, and TensorFlow. Covers concepts from basics to production deployment.
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Python for Data Analysis
by Wes McKinney
The essential reference for data wrangling with Python using Pandas, NumPy, and IPython.
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Deep Learning with Python
by François Chollet
Introduction to deep learning using Keras, covering computer vision, NLP, and generative models.
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