Hands-On Python and Scikit-Learn: A Practical Guide to Machine Learning

By Sarful Hassan

Hands-On Python and Scikit-Learn: A Practical Guide to Machine Learning
Master Machine Learning with Python and Scikit-Learn

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.

Why This Book?

✅ 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.

What You'll 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

Who Should Read This Book?

• Format: Paperback
• Language: English
• ISBN: B0DW7WV6HC
• ISBN13: 9798309513123
• Release Date: February 2025
• Publisher: Independently Published
• Length: 272 Pages
• Weight: 0.81 lbs.
• Dimensions: 0.6" x 6.0" x 9.0"