Fundamentals of Machine Learning with scikit-learn

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Fundamentals of Machine Learning with scikit-learn, A reference guide to popular algorithms for data science and Machine Learning

Created by Packt Publishing

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What you'll learn

• Acquaint yourself with important elements of Machine Learning
• Understand the feature selection and feature engineering process
• Assess performance and error trade-offs for Linear Regression
• Build a data model
• Understand how a data model works
• Understand strategies for hierarchical clustering
• Ensemble learning with decision trees
• Learn to tune the parameters of Support Vector machines
• Implement clusters to a dataset

Requirements

• Familiarity with languages such as R and Python will be invaluable here.