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Python 3 for Machine Learning
Harness the Power of Python for Advanced Machine Learning Projects
Comprehensive guide to mastering Python and machine learning, with hands-on examples and practical projects.
Key Features
Comprehensive Python 3 coverage
Detailed machine learning algorithms
Hands-on examples and projects
Book Description
This book introduces basic Python 3 programming concepts related to machine learning. The first four chapters provide a fast-paced introduction to Python 3, NumPy, and Pandas. The fifth chapter covers fundamental machine learning concepts. The sixth chapter dives into machine learning classifiers, such as logistic regression, k-NN, decision trees, random forests, and SVMs. The final chapter includes material on natural language processing (NLP) and reinforcement learning (RL). Keras-based code samples supplement the theoretical discussion. The course begins with Python basics, including conditional logic, loops, functions, and collections. It then explores data manipulation with NumPy and Pandas. The journey continues with an introduction to machine learning, focusing on essential concepts and classifiers. Advanced topics like NLP and RL are covered, ensuring a comprehensive understanding of machine learning. These concepts are crucial for developing machine learning applications. This book transitions readers from basic Python programming to advanced machine learning techniques, blending theory with practical skills. Appendices for regular expressions, Keras, and TensorFlow 2, along with companion files, enhance learning, making this an essential resource for mastering Python and machine learning.
What you will learn
Master Python basics and advanced techniques
Implement efficient loops and functions
Use Python collections for data handling
Manipulate data with NumPy and Pandas
Build and evaluate machine learning models
Apply NLP and reinforcement learning techniques
Who this book is for
Ideal for aspiring data scientists, machine learning enthusiasts, and Python programmers. No prior knowledge of Python or machine learning is required, making it suitable for beginners. Basic programming understanding is helpful.
