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Hands-On Implementation of Machine Learning Models
Overview
"Hands-On Implementation of Machine Learning Models" is a practical guide designed to bridge the gap between machine learning theory and real-world applications. It provides clear explanations of fundamental and advanced machine learning models, including linear and logistic regression, decision trees, support vector machines, k-means clustering, PCA, hierarchical clustering, random forests, gradient boosting machines, and neural networks.
This item is Non-Returnable
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Details
- ISBN-13: 9786207805945
- ISBN-10: 6207805941
- Publisher: LAP Lambert Academic Publishing
- Publish Date: June 2024
- Dimensions: 9 x 6 x 0.18 inches
- Shipping Weight: 0.27 pounds
- Page Count: 76
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