Hands-On Python and Scikit-Learn : A Practical Guide to Machine Learning
Overview
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?This item is Non-Returnable
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Details
- ISBN-13: 9798309513123
- ISBN-10: 9798309513123
- Publisher: Independently Published
- Publish Date: February 2025
- Dimensions: 9 x 6 x 0.57 inches
- Shipping Weight: 0.81 pounds
- Page Count: 272
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