Hands-on Scikit-Learn for Machine Learning Applications : Data Science Fundamentals with Python

Hands-on Scikit-Learn for Machine Learning Applications Data Science Fundamentals with Python

Aspiring data science professionals can learn the Scikit-Learn library along with the fundamentals of machine learning with this book. The book combines the Anaconda Python distribution with the popular Scikit-Learn library to demonstrate a wide range of supervised and unsupervised machine learning...

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Bibliographic Details
Main Author: Paper, David. author (author)
Format: eBook
Language:Inglés
Published: Berkeley, CA : Apress 2020.
Edition:1st ed. 2020.
Subjects:
Machine learning.
Python (Computer program language).
Big data.
Machine Learning.
Python.
Big Data.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630873706719
Table of Contents:
  • 1. Introduction to Scikit-Learn
  • 2. Classification from Simple Training Sets
  • 3. Classification from Complex Training Sets
  • 4. Predictive Modeling through Regression
  • 5. Scikit-Learn Classifier Tuning from Simple Training Sets
  • 6. Scikit-Learn Classifier Tuning from Complex Training Sets
  • 7. Scikit-Learn RegressionTuning
  • 8. Putting it All Together.

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