Quote:Python Machine Learning: Master the Art of Building Intelligent Models with Python A Comprehensive Guide to Machine Learning Using Python, Including Algorithms, Model Evaluation, and Practical Applications
Go into the exciting world of machine learning with "Python Machine Learning: Master the Art of Building Intelligent Models with Python." This comprehensive guide is designed to equip you with the knowledge and skills needed to build and deploy intelligent machine learning models using Python.
Inside this definitive guide, you'll discover
Getting Started with Machine Learning
Introduction to Machine Learning: Understand the fundamentals of machine learning, including supervised and unsupervised learning, regression, classification, and clustering.
Setting Up Your Machine Learning Environment: Learn how to set up Python, Jupyter Notebooks, and essential libraries such as NumPy, pandas, scikit-learn, and TensorFlow or PyTorch.
Essential Machine Learning Concepts
Data Preprocessing: Master techniques for cleaning, transforming, and preparing data for machine learning models, including handling missing values and scaling features.
Model Training and Evaluation: Explore different machine learning algorithms, such as linear regression, decision trees, random forests, support vector machines (SVM), k-nearest neighbors (k-NN), and neural networks.