Hands-On Python and Scikit-Learn: A Practical Guide to Machine Learning
暫譯: 實戰 Python 與 Scikit-Learn：機器學習實用指南

Are you ready to dive into the world of machine learning? Hands-On Python and Scikit-Learn: A Practical Guide to Machine Learning is your ultimate guide to mastering data preprocessing, model building, and evaluation using Python and Scikit-Learn.

✅ Comprehensive & Hands-On - Covers supervised and unsupervised learning, model evaluation, and workflow automation. ✅ Real-World Applications - Learn to build models for predictive analytics, fraud detection, sentiment analysis, and more. ✅ Optimized for Python - Uses Python 3.x for efficient and scalable implementations. ✅ For Beginners & Professionals - Suitable for students, developers, and data scientists looking to master Scikit-Learn.

✔️ Setting up Scikit-Learn for machine learning projects ✔️ Data preprocessing, feature selection, and transformation ✔️ Implementing linear regression, decision trees, SVMs, and ensemble models ✔️ Hyperparameter tuning and model optimization techniques ✔️ Clustering, anomaly detection, and dimensionality reduction ✔️ Building real-world machine learning applications