Machine Learning with Python, scikit-learn and TensorFlow

Machine Learning with Python, scikit-learn and TensorFlow, Apply Machine Learning techniques to solve real-world problems with Python, scikit-learn and TensorFlow

Created by Packt Publishing

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What you'll learn

• Solve interesting, real-world problems using machine learning with Python
• Evaluate the performance of machine learning systems in common tasks
• Create pipelines to deal with real-world input data
• Traverse from concept to a production-ready machine learning setup/pipeline capable of real-world usage
• Use Python to visualize data spread across multiple dimensions and extract useful features to implement machine learning classification and regression algorithms from scratch in Python
• Predict the values of continuous variables using linear regression and K Nearest Neighbors to classify documents and images using logistic regression and support vector machines
• Requirements
• Familiarity with Machine Learning fundamentals will be useful.
• A basic understanding Python programming is assumed.