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PluralSight Understanding Machine Learning with Python

PluralSight Understanding Machine Learning with Python crack

When working with data, machine learning can be used to do incredible things, including predicting future events. Its ease of use combined with the power of scikit-learn is causing Python to become the preferred development language for many machine learning practitioners. In this course, Understanding Machine Learning with Python, you will learn how Python developers and data scientists use machine learning to predict the likelihood of events based on data. Throughout this course, you will use Python and the scikit-learn library. Specifically, you will learn how to format your problem to be solvable, how to prepare your data for use in a prediction, and finally how to combine that data with algorithms to create models that can predict the future, all performed in the Jupyter Notebook environment. By the end of this course, you will have a better understanding of how machine learning can help you put your data to good use in predicting future events, and you'll also know how to use Python to make it happen.

در این دوره آموزشی یاد می گیرید که چگونه به وسیله زبان برنامه نویسی پایتون مباحث ماشین و هوش مصنوعی را برنامه نویسی کنید.

همچنین مدرس این دوره چگونگی پیش بینی وقایع آینده را به وسیله داده های قدیم و داده های کنونی را آموزش می دهد.

این دوره آموزشی محصول موسسه Lynda است.

سرفصل های این دوره:

  • بررسی اجمالی دوره
  • آغاز به کار در یادگیری ماشین
  • درک گردش کار یادگیری ماشین
  • پرسیدن سوال درست
  • آماده سازی داده ها
  • انتخاب الگوریتم
  • آموزش مدل
  • تست دقت مدل
  • خلاصه

عنوان دوره: PluralSight Understanding Machine Learning with Python

مدت دوره: 1 ساعت و 54 دقیقه

نویسنده: Jerry Kurata

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