Description

Book Synopsis
Preface.- About This Book.- 1. Introduction.- 2. Getting Started with Python.- 3. Three Fundamental Python Packages.- 4.  Supervised Learning in Practice: The First Application Using Scikit-Learn. - 5. K-Nearest Neighbors.- 6. Linear Models.- 7. Decision Trees.- 8. Ensemble Learning.- 9. Model Evaluation and Selection.- 10. Feature Selection.- 11. Assembling Various Learning Stages.- 12. Clustering.- 13. Deep Learning with Keras-TensorFlow. - 14. Convolutional Neural Networks.- 15. Recurrent Neural Networks.- References.

Machine Learning with Python

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    A Paperback by Amin Zollanvari

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      Publisher: Springer
      Publication Date: Publication Date: 7/13/2024
      ISBN13: 9783031333446, 978-3031333446
      ISBN10: 3031333446

      Description

      Book Synopsis
      Preface.- About This Book.- 1. Introduction.- 2. Getting Started with Python.- 3. Three Fundamental Python Packages.- 4.  Supervised Learning in Practice: The First Application Using Scikit-Learn. - 5. K-Nearest Neighbors.- 6. Linear Models.- 7. Decision Trees.- 8. Ensemble Learning.- 9. Model Evaluation and Selection.- 10. Feature Selection.- 11. Assembling Various Learning Stages.- 12. Clustering.- 13. Deep Learning with Keras-TensorFlow. - 14. Convolutional Neural Networks.- 15. Recurrent Neural Networks.- References.

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