Название: Python Scikit-Learn for Beginners: Scikit-Learn Specialization for Data ScientistАвтор: 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