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Ultimate Step by Step Guide to Machine Learning Using Python: Predictive modelling concepts explained in simple terms for beginners
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About Ultimate Step By Step Guide To Machine Learning
Product Description *Start your Data Science career using Python today!* Are you ready to start your new exciting career? Ready to crush your machine learning career goals? Are you overwhelmed with complexity of the books on this subject? Then let this breezy and fun little book on Python and machine learning models make you a data scientist in 7 days! First part of this book introduces Python basics including: 1) Data Structures like Pandas 2) Foundational libraries like Numpy, Seaborn and Scikit-Learn Second part of this book shows you how to build predictive machine learning models step by step using techniques such as: 1) Regression analysis 2) Decision tree analysis 3) Training and testing data models 4) And much more! After reading this book you will be able to: 1) Code in Python with confidence 2) Build new machine learning models from scratch 3) Know how to clean and prepare your data for analytics 4) Speak confidently about statistical analysis techniques Data Science was ranked the fast-growing field by LinkedIn and Data Scientist is one of the most highly sought after and lucrative careers in the world! If you are on the fence about making the leap to a new and lucrative career, this is the book for you! What sets this book apart from other books on the topic of Python and Machine learning: 1) Step by step code examples and explanation 2) Complex concepts explained visually 3) Real world applicability of the machine learning models introduced 4) Bonus free code samples that you can try yourself without any prior experience in Python! What do I need to get started? You will have a step by step action plan in place once you finish this book and finally feel that you, can master data science and machine learning and start lucrative and rewarding career! Ready to dive in to the exciting world of Python and Machine Learning? Then scroll up to the top and hit that BUY BUTTON! Review Reviewed By Rabia Tanveer for Readers' Favorite (5 Stars) Ultimate Step by Step Guide to Machine Learning Using Python: Predictive Modelling Concepts Explained in Simple Terms for Beginners by Daneyal Anis is a great book for beginners who want to learn Python and get into programming. From sharing the basics of the programming language to sharing some very advanced programming skills, the author has done a great job of sharing information and helping the reader increase their knowledge. The author describes how you can make models in Python, how you can code, master analytics and, overall, become a master of Python in 7 days. This is a good book for anyone who wishes to follow a career in Data Science but finds it to be intimidating. Reviewed By Asher Syed for Readers' Favorite (5 Stars) Ultimate Step by Step Guide to Machine Learning Using Python by Daneyal Anis is a self-help, non-fiction guide for beginners who have become confounded by or struggle to understand complicated machine learning books. This book is broken down into eight parts (ten if you count the introduction and conclusion), wherein Anis breaks down in the simplest, most straightforward terms everything from data types, structures, traversing, and exploration and analysis, to predictive and machine learning models, troubleshooting, training, and testing the model. Each subsection within the chapter is succinct and clear, made more so by graphics that show screen and snapshots, code, and a multitude of graphs. Reviewed By K.C. Finn for Readers' Favorite (5 Stars) Ultimate Step by Step Guide to Machine Learning Using Python is a work of non-fiction which contains 'Predictive modelling concepts explained simple terms for beginners', and was penned by author Daneyal Anis. The idea of this concise guidebook is to give newcomers to the world of data science their start in training AI models using Python, in order to more effectively analyze their business data. In a fascinating introduction to the modern data analysis world, the author i
