Python Scikit-Learn for Beginners: Scikit-Learn Specialization for Data Scientist by AI Publishing
Requirements: .ePUB, .PDF, .MOBI/.AZW reader, 29.7 MB
Overview: Python for Data Scientists — Scikit-Learn Specialization
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.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://userupload.net/z1kb6tni7uji
https://dropgalaxy.vip/q2q0dy8pjfea
Trouble downloading? Read This.
Requirements: .ePUB, .PDF, .MOBI/.AZW reader, 29.7 MB
Overview: Python for Data Scientists — Scikit-Learn Specialization
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.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://userupload.net/z1kb6tni7uji
https://dropgalaxy.vip/q2q0dy8pjfea
Trouble downloading? Read This.