Hands-on Scikit-learn for Machine Learning

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Hands-on Scikit-learn for Machine Learning, Machine Learning projects with Python’s own Scikit-learn on real-world datasets

Created by Packt Publishing

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What you'll learn

• Tackle real-world problems in Machine Learning through a structured process using Scikit-learn
• Achieve substantially more in less time and with much less code by leveraging the power and simplicity of Scikit-learn
• Develop a thorough understanding of core predictive analytics with regression, classification, and unsupervised learning such as clustering and PCA
• Create ensemble models with Random-Forest and Gradient-boosting methods and see your model performance improve drastically
• Build a portfolio of tools and techniques that can readily be applied to your own projects
• Discover the intuition behind contemporary Machine Learning models and algorithms without going into deep mathematical details
• Develop the ability to evaluate and improve the accuracy and performance of Machine Learning models
• Explore the foundations of text analytics and develop a set of tools to apply to your common text-analysis tasks