[Free Ebook.rMbC] Machine Learning in Python Essential Techniques for Predictive Analysis

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Learn a simpler and more effective way to analyze data and predict outcomes with Python Machine Learning in Python shows you how to successfully analyze data using only two core machine learning algorithms, and how to apply them using Python. By focusing on two algorithm families that effectively predict outcomes, this book is able to provide full descriptions of the mechanisms at work, and the examples that illustrate the machinery with specific, hackable code. The algorithms are explained in simple terms with no complex math and applied using Python, with guidance on algorithm selection, data preparation, and using the trained models in practice. You will learn a core set of Python programming techniques, various methods of building predictive models, and how to measure the performance of each model to ensure that the right one is used. The chapters on penalized linear regression and ensemble methods dive deep into each of the algorithms, and you can use the sample code in the book to develop your own data analysis solutions. Machine learning algorithms are at the core of data analytics and visualization. In the past, these methods required a deep background in math and statistics, often in combination with the specialized R programming language. This book demonstrates how machine learning can be implemented using the more widely used and accessible Python programming language. Predict outcomes using linear and ensemble algorithm families Build predictive models that solve a range of simple and complex problems Apply core machine learning algorithms using Python Use sample code directly to build custom solutions Machine learning doesn't have to be complex and highly specialized. Python makes this technology more accessible to a much wider audience, using methods that are simpler, effective, and well tested. Machine Learning in Python shows you how to do this, without requiring an extensive background in math or statistics. Consulting Companies in Analytics Data Mining Data More Recent Stories 5 Machine Learning Projects You Can No Longer Overlook May; KDnuggets 17:n18 May 10: KDnuggets Poll: Software used for MLTrain AI With The Best online conference for developers Learn how to automate your systems how to build chat bots and the future of deep learning Explore the applications of machine learning NLP and computer vision SAS Visual Data Mining and Machine Learning SAS SAS Visual Data Mining and Machine Learning Huge performance gains Innovative algorithms One in-memory environment How PayPal fights fraud with predictive data analysis PayPal is using advanced predictive data analysis to help protect its users from fraud and preserve the service's brand Constant evolution is the key to PayPal's What is predictive analytics? - Definition from WhatIscom Predictive analytics is a form of advanced analytics that uses both new and historical data to forecast future activity behavior and trends It involves applying Python Programming - Free Computer Books A Collection of Free Python Programming Books Deep Learning Tutorials using Python (LISA Lab) The tutorials presented here will introduce you to some of the most Its Back to the Future for Machine Learning Applications Machine learning techniques are far from new What's new is a slew of parallelized data processing platforms available for data scientists working on applications of Education in Analytics Data Science Machine Learning in More Recent Stories What makes Predictive Analytics World for Workforce most inter A Data Analyst guide to A/B testing; Using Deep Learning To Extract Knowledge How to Learn Machine Learning The Self-Starter Way Machine learning is about teaching computers how to learn from data to make decisions or predictions For true machine learning the computer must be able to learn to Free O' Reilly Books Ebooks Webcasts Conference akamaicoversoreillycom/images/9781491979242/thumbgif iPhone: The Missing Manual iPhone: The Missing Manual by David Pogue Tenth Edition
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