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Learn to use scikit-learn operations and functions for Machine Learning and deep learning applications. About This Book * Handle a;
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Deploy supervised and unsupervised machine learning algorithms using scikit-learn to perform classification, regression, and clustering;
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With the flexibility and features of scikit-learn and Python, build machine learning algorithms that optimize the programming process and;
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Extract accurate information from data to train and improve machine learning models using NumPy, SciPy, pandas, and scikit-learn libraries;
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The book adopts a tutorial-based approach to introduce the user to Scikit-learn.If you are a programmer who wants to explore machine;
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Aspiring data science professionals can learn the Scikit-Learn library along with the fundamentals of machine learning with this book. The;
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Use scikit-learn to apply machine learning to real-world problems About This Book * Master popular machine learning models including;
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Integrate scikit-learn with various tools such as NumPy, pandas, imbalanced-learn, and scikit-surprise and use it to solve real-world;
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shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks-scikit-learn and TensorFlow-author;
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shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks-Scikit-Learn and TensorFlow-author;
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Het boek 'The How-To Cookbook for Teens: 100 Easy Recipes to Learn the Basics' van Julee Morrison koop je bij bookspot.nl;
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(Pandas, PyMC, and R), and learn from actual data through machine learning (scikit-learn) Gain valuable insights into signals, images, and sounds;
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daily work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems;
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can be used in the field of data science. Mastering Predictive Analytics with scikit-learn and TensorFlow covers various implementations;
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, real-world examples explained in a thorough yet concise manner to help you learn quickly and efficiently. Google Maps API Cookbook is for;
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introduces tools such as NumPy for numerical processing, Pandas for panel data analysis, Matplotlib for visualization, Scikit-learn for machine;
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introduces tools such as NumPy for numerical processing, Pandas for panel data analysis, Matplotlib for visualization, Scikit-learn for machine;
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do you get them all-IPython, NumPy, pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar;
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perceptrons. It also discusses popular APIs such as IBM Watson, Microsoft Azure, and scikit-learn. What You Will Learn Work with various deep;
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The Green Crab Cookbook explores the culinary potential behind one of the world's worst invasive species: The European Green Crab. Learn;
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Learn how to cook authentic Japanese food with this straightforward Japanese cookbook. Japanese cuisine can seem intimidating to the;
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available in Android. Android developers who want to learn Android NDK programming, or develop multimedia and games in Android NDK will benefit from;
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statistical and traditional machine learning methods for anomaly detection using Scikit-Learn in Python, the book then provides an introduction to;
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How many ways can you prepare Cabbage? Let's learn the easiest...Get your copy of the best Cabbage recipes from Chef Maggie;
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