Andreas C. Müller
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Introduction to Machine Learning with Python: A Guide for Data Scientists
by
14 editions
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published
2015
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“Anaconda comes with NumPy, SciPy, matplotlib, pandas, IPython, Jupyter Notebook, and scikit-learn. Available on Mac OS, Windows, and Linux, it is a very convenient solution and is the one we suggest for people without an existing installation of the scientific Python packages.”
― Introduction to Machine Learning with Python: A Guide for Data Scientists
― Introduction to Machine Learning with Python: A Guide for Data Scientists
“scikit-learn user guide and API documentation for additional details on and many more options for each algorithm.”
― Introduction to Machine Learning with Python: A Guide for Data Scientists
― Introduction to Machine Learning with Python: A Guide for Data Scientists
“Each entity or row here is known as a sample (or data point) in machine learning, while the columns — the properties that describe these entities — are called features.”
― Introduction to Machine Learning with Python: A Guide for Data Scientists
― Introduction to Machine Learning with Python: A Guide for Data Scientists
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