Descargar Scikit-learn in Details: Deep understanding (English Edition) de Robert Collins Ebooks, PDF, ePub
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This book is a guide for you on how to use Scikit-Learn, a machine learning library for Python programming language. The author first helps you know what Scikit-Learn are and how to set it up on your system. You are also guided on how to load datasets into Scikit-Learn. The author has then guided you on how to use the various machine learning algorithms to implement machine learning models of different types with Scikit-Learn. Some of the algorithms that have been discussed include Support Vector Machine (SVM), Linear Regression, K-Nearest Neighbors and K-Means. In all these, practical examples have been given, hence you will know how to implement models and use them for making predictions. The content is: Getting Started with Scikit-learn Support Vector Machines in Scikit-learn Scikit-Learn Linear Regression Scikit-Learn k-Nearest Neighbors Classifier K-Means Clustering With Scikit-LearnSubjects include: python programming language, python, linear regression book, scikit-learn, scikit-learn and tensorflow, support vector machine, linear regression, k-nearest neighbor, k-means, kernel, linear regression models, data visualisation, linear regression analysis, linear regression machine learning.
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Python machine learning scikitlearn tutorial datacamp thats why this scikitlearn machine learning map will come in handy note that this map does require you to have some knowledge about the algorithms that are included in the scikitlearn library this by the way also holds some truth for taking this next step in your project if you have no idea what is possible it will be tough to decide on what your use case will be for the data
Handson machine learning with scikitlearn and tensorflow edition first edition language english isbn 1491962291 9781491962299 summary through a series of recent breakthroughs deep learning has boosted the entire field of machine learning now even programmers who know close to nothing about this technology can use simple efficient tools to implement programs capable of learning from data
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