Description
A Machine Learning with Python book typically covers the fundamentals of machine learning, practical implementation using Python, and real-world applications. Here’s a general description of what such a book might include:
Machine Learning with Python – A Comprehensive Guide
This book is designed for beginners and professionals looking to master machine learning using Python. It provides a hands-on approach to understanding machine learning concepts, algorithms, and real-world applications.
Key Features:
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Introduction to machine learning, its types, and real-world use cases
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Python libraries for ML: NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, and Keras
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Supervised learning algorithms like Linear Regression, Decision Trees, and Support Vector Machines
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Unsupervised learning techniques including Clustering, PCA, and Association Rules
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Deep Learning fundamentals with Neural Networks
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Feature engineering and model evaluation strategies
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Practical projects and case studies in domains like finance, healthcare, and e-commerce
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