dipanjanS/practical-machine-learning-with-python
A book companion repository with Jupyter notebooks and code examples teaching machine learning and deep learning using the Python ecosystem.
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This repository contains all code, notebooks, and examples from the book Practical Machine Learning with Python published by Apress. It follows a structured approach teaching essential ML and DL skills through real-world case studies using popular Python libraries including TensorFlow, Keras, scikit-learn, spaCy, NLTK, and pandas. Topics covered include classification, clustering, convolutional neural networks, natural language processing, and time series analysis.