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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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Learn how to solve real life problems using different methods like logic regression, random forests and SVM's with TensorFlow. Key Features;
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balance both statistical and mathematical concepts, and implement them in Python using libraries such as pandas, scikit-learn, and NumPy. Through;
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and SQL Build predictive models on real healthcare data with pandas and scikit-learn Use analytics to improve healthcare performance Book;
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is written for those who want to build powerful, robust, and accurate predictive models with the power of TensorFlow, combined with other open source;
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high-performance predictive analytics solutions using Python programming. What you will learn Get to grips with the main concepts and;
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0;...
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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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analysis techniques and detailed code with scikit-learn and SciPy Book DescriptionPython is one of the most common and popular languages preferred;
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libraries such as pandas, scikit-learn, and numpy. You'll start by getting an understanding of the basics of predictive modeling, then you will see;
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Leave your crystal ball behind and peer into the future with SAPPredictive Analytics. Master predictive models-regression, time series;
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with examples from the world of marketing, healthcare, and retail. We'll get started with a brief history of predictive analytics and learn;
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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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using Python. You're expected to have basic development experience with Python. What You Will Learn * Gain an insight into components and;
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underpinnings and technical components that make up SAP PA. Explore how SAP PA works with SAP HANA. Walk through the installation steps and learn the;
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computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn. This revision is fully updated with new content on;
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variety of machine learning tasks effortlessly by leveraging the power of scikit-learn * Perform supervised and unsupervised learning with ease;
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marketing, from one-size-fits-all to one-on-one, and from marketing campaigns to real-time customer experiences. You'll learn how to use machine;
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learning environment with scikit-learn. To put scikit-learn to use, you will learn how to implement various supervised and unsupervised machine;
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in-memory, distributed cluster computing framework known as PySpark, machine learning framework platforms known as scikit-learn, PySpark MLlib, H2O;
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of predictive analytics and get started putting it to use with readily available tools to collect and analyze data. In no time, you'll learn how to;
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Gain expertise in ML techniques with AWS to create interactive apps using SageMaker, Apache Spark, and TensorFlow. Key Features Build;
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