Scikit-Learn Cookbook: Over 80 Recipes for Machine Learning in Python With Scikit-Learn
β Scribed by Julian Avila
- Publisher
- Packt Publishing
- Year
- 2017
- Tongue
- English
- Leaves
- 368
- Edition
- 2
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Learn to use scikit-learn operations and functions for Machine Learning and deep learning applications. About This Book β’ Handle a variety of machine learning tasks effortlessly by leveraging the power of scikit-learn β’ Perform supervised and unsupervised learning with ease, and evaluate the pe
workbook!This practical guide equips you with the skills and knowledge to build effective machine learning models using popular libraries like PyTorch and scikit-learn. Through a series of hands-on exercises, you'll gain a deep understanding of essential concepts and techniques, while simultaneously
Machine learning, the art of creating applications that learn from experience and data, has been around for many years. However, in the era of βbig dataβ, huge amounts of information is being generated. This makes machine learning an unavoidable source of new data-based approximations for problem so
<p> Experience the benefits of machine learning techniques by applying them to real-world problems using Python and the open source scikit-learn library</p> <p><b>Overview</b></p> <ul> <li>Use Python and scikit-learn to create intelligent applications</li> <li>Apply regression techniques to predict