{"product_id":"python-machine-learning-for-beginners-learning-from-scratch-numpy-pandas-matplotlib-seaborn-scikitlearn-and-tensorflow-for-machine-learning-and-paperback","title":"Python Machine Learning for Beginners: Learning from scratch NumPy, Pandas, Matplotlib, Seaborn, Scikitlearn, and TensorFlow for Machine Learning and - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eAi Publishing\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003ePython Machine Learning for Beginners\u003cbr\u003eMachine Learning (ML) and Artificial Intelligence (AI) are here to stay. Yes, that's right. Based on a significant amount of data and evidence, it's obvious that ML and AI are here to stay.Consider any industry today. The practical applications of ML are really driving business results. Whether it's healthcare, e-commerce, government, transportation, social media sites, financial services, manufacturing, oil and gas, marketing and salesYou name it. The list goes on. There's no doubt that ML is going to play a decisive role in every domain in the future.But what does a Machine Learning professional do?A Machine Learning specialist develops intelligent algorithms that learn from data and also adapt to the data quickly. Then, these high-end algorithms make accurate predictions.\u003c\/p\u003e\u003cp\u003e\u003ci\u003ePython Machine Learning for Beginners\u003c\/i\u003e presents you with a hands-on approach to learn ML fast.\u003c\/p\u003eHow Is This Book Different?\u003cbr\u003eAI Publishing strongly believes in \u003ci\u003elearning by doing\u003c\/i\u003e methodology. With this in mind, we have crafted this book with care. You will find that the emphasis on the theoretical aspects of machine learning is equal to the emphasis on the practical aspects of the subject matter.You'll learn about data analysis and visualization in great detail in the first half of the book. Then, in the second half, you'll learn about machine learning and statistical models for data science.Each chapter presents you with the theoretical framework behind the different data science and machine learning techniques, and practical examples illustrate the working of these techniques.When you buy this book, your learning journey becomes so much easier. The reason is you get instant access to all the related learning material presented with this book-references, PDFs, Python codes, and exercises-on the publisher's website. All this material is available to you at no extra cost. You can download the ML datasets used in this book at runtime, or you can access them via the \u003ci\u003eResources\/Datasets\u003c\/i\u003e folder.You'll also find the short course on Python programming in the second chapter immensely useful, especially if you are new to Python. Since this book gives you access to all the Python codes and datasets, you only need access to a computer with the internet to get started. \u003cbr\u003eThe topics covered include: \u003cul\u003e\n\u003cli\u003eIntroduction and Environment Setup\u003c\/li\u003e\n\u003cli\u003ePython Crash Course\u003c\/li\u003e\n\u003cli\u003ePython NumPy Library for Data Analysis\u003c\/li\u003e\n\u003cli\u003eIntroduction to Pandas Library for Data Analysis\u003c\/li\u003e\n\u003cli\u003eData Visualization via Matplotlib, Seaborn, and Pandas Libraries\u003c\/li\u003e\n\u003cli\u003eSolving Regression Problems in ML Using Sklearn Library\u003c\/li\u003e\n\u003cli\u003eSolving Classification Problems in ML Using Sklearn Library\u003c\/li\u003e\n\u003cli\u003eData Clustering with ML Using Sklearn Library\u003c\/li\u003e\n\u003cli\u003eDeep Learning with Python TensorFlow 2.0\u003c\/li\u003e\n\u003cli\u003eDimensionality Reduction with PCA and LDA Using Sklearn\u003c\/li\u003e\n\u003c\/ul\u003eClick the BUY NOW button to start your Machine Learning journey.\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 306\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.64 x 9 x 6 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e October 23, 2020\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52493582434611,"sku":"9781734790153","price":40.73,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/UXR3czJrTElYbjJTZjBoc0t4aVlEUT09.webp?v=1759957182","url":"https:\/\/www.vysn.com\/products\/python-machine-learning-for-beginners-learning-from-scratch-numpy-pandas-matplotlib-seaborn-scikitlearn-and-tensorflow-for-machine-learning-and-paperback","provider":"VYSN","version":"1.0","type":"link"}