Python Scikit-Learn for Beginners: Scikit-Learn Specialization for Data ScientistКНИГИ » ПРОГРАММИНГ
Название: Python Scikit-Learn for Beginners: Scikit-Learn Specialization for Data Scientist Автор: AI Publishing Издательство: AI Publishing Год: 2021 Формат: epub/pdf(conv.) Страниц: 351 Размер: 21.6 Mb Язык: English
Scikit-Learn, also known as Sklearn, is a free, open-source machine learning (ML) library used for the Python language. In February 2010, this library was first made public. And in less than three years, it became one of the most popular machine learning libraries on Github. Scikit-learn is the best place to start for access to easy-to-use, top-notch implementations of popular algorithms. This library speeds up the development of ML models. The main features of the Scikit-learn library are regression, classification, and clustering algorithms (random forests, K-means, gradient boosting, DBSCAN, AND support vector machines). The Scikit-learn library also integrates well with other Python libraries, such as NumPy, Pandas, IPython, SciPy, Sympy, and Matplotlib, to fulfill different tasks. Python for Data Scientists: Scikit-Learn Specialization presents you with a hands-on, simple approach to learn Scikit-learn fast. The topics covered include: Introduction to Scikit-Learn and Other Machine Learning Libraries Environment Setup and Python Crash Course Data Preprocessing with Scikit-Learn Feature Selection with Python Scikit-Learn Library Solving Regression Problems in Machine Learning Using Sklearn Library Solving Classification Problems in Machine Learning Using Sklearn Library Clustering Data with Scikit-Learn Library Dimensionality Reduction with PCA and LDA Using Sklearn Selecting Best Models with Scikit-Learn Natural Language Processing with Scikit-Learn Image Classification with Scikit-Learn
Scikit-learn in Details: Deep understanding Название: Scikit-learn in Details: Deep understanding Автор: Robert Collins Издательство: Amazon Digital Services LLC Год: 2018 Язык:...