Learning scikit-learn machine learning in Python : experience the benefits of machine learning techniques by applying them to real-world problems using Python and the open source scikit-learn library
β Scribed by Guillermo Moncecchi, RaΓΊl Garreta
- Publisher
- Packt Publishing
- Year
- 2013
- Tongue
- English
- Series
- Community experience distilled
- Category
- Library
No coin nor oath required. For personal study only.
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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
<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
Are you a novice programmer who wants to learn Python Machine Learning? Are you worried about how to translate what you already know into Python?This book will help you overcome those problems! As machines get ever more complex and perform more and more tasks to free up our time, so it is that new i
Key Features β’ Master popular machine learning models including k-nearest neighbors, random forests, logistic regression, k-means, naive Bayes, and artificial neural networks β’ Learn how to build and evaluate performance of efficient models using scikit-learn β’ Practical guide to master your basi