Tpot

Mom is very angry. Her very favorite teapot is broken, and no one is 'fessing up. Was it Dad, sitting in his underwear reading the paper? Was it Cat, who was all tangled up in a ball of yarn? Was it Baby perched in his highchair? Or is there a surprising twist to this mystery that teaches Mom a little lesson in anger management? Bill Slavin takes a sly poke at parents in their less-than-finer moments in this funny and energetic story.

Discover how TPOT can be used to handle automation in machine learning and explore the different types of tasks that TPOT can automate Key FeaturesUnderstand parallelism and how to achieve it in Python.Learn how to use neurons, layers, and activation functions and structure an artificial neural network.Tune TPOT models to ensure optimum performance on previously unseen data.Book Description The automation of machine learning tasks allows developers more time to focus on the usability and reactivity of the software powered by machine learning models. TPOT is a Python automated machine learning tool used for optimizing machine learning pipelines using genetic programming. Automating machine learning with TPOT enables individuals and companies to develop production-ready machine learning models cheaper and faster than with traditional methods. With this practical guide to AutoML, developers working with Python on machine learning tasks will be able to put their knowledge to work and become productive quickly. You'll adopt a hands-on approach to learning the implementation of AutoML and associated methodologies. Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, this book will show you how to build automated classification and regression models and compare their performance to custom-built models. As you advance, you'll also develop state-of-the-art models using only a couple of lines of code and see how those models outperform all of your previous models on the same datasets. By the end of this book, you'll have gained the confidence to implement AutoML techniques in your organization on a production level. What you will learnGet to grips with building automated machine learning modelsBuild classification and regression models with impressive accuracy in a short timeDevelop neural network classifiers with AutoML techniquesCompare AutoML models with traditional, manually developed models on the same datasetsCreate robust, production-ready modelsEvaluate automated classification models based on metrics such as accuracy, recall, precision, and f1-scoreGet hands-on with deployment using Flask-RESTful on localhostWho this book is for Data scientists, data analysts, and software developers who are new to machine learning and want to use it in their applications will find this book useful. This book is also for business users looking to automate business tasks with machine learning. Working knowledge of the Python programming language and beginner-level understanding of machine learning are necessary to get started.

In this amazing and at times ribald story, Laton McCartney tells how Big Oil handpicked Warren G. Harding, an obscure Ohio senator, to serve as our twenty-third president. Harding and his “oil cabinet” made it possible for cronies to secure vast fuel reserves that had been set aside for use by the U.S. Navy. In exchange, the oilmen paid off senior government officials, bribed newspaper publishers, and covered the GOP campaign debt. When news of the scandal finally emerged, the consequences were disastrous. Drawing on contemporary records newly made available to McCartney, The Teapot Dome Scandal reveals a shocking, revelatory picture of just how far-reaching the affair was, how high the stakes, and how powerful the conspirators–all told in a dazzling narrative style.

Developed by highly respected creators of the evidence-based Pyramid Model for Promoting Social Emotional Competence in Infants and Young Children, the TPOT(TM) tool measures how well teachers are implementing the model in classrooms enrolling children

Huddlestone, the epitome of a quaint Yorkshire village, boasts a peculiar place of worship: the Teapot Chapel mosque. Amidst swirling gossip and steaming cups of tea, its ladies are known for their warmth, not their investigative prowess. Yet, when beloved madrassa teacher Fatima is murdered right inside the mosque, Aisha Khan, the heart-of-gold head dinner lady, and her quirky crew become accidental detectives. Known as the Spice Squad, they trade recipes for clues, determined to serve up justice. But as they dig deeper, hidden tensions simmer within the mosque, and they uncover a fight against far more than a single killer. Can they solve the mystery and mend their community, all before the next Friday prayers?