Programming: Python Machine Learning, Python Crash Course, and Python Data Science for Beginners (in English)
Synopsis "Programming: Python Machine Learning, Python Crash Course, and Python Data Science for Beginners (in English)"
How many times have you said to yourself, "I wish I could program in Python, but all the books are too confusing!"? Well, I'm here to help!I've developed an easy, three-book method to not only get you started in Python but to take you through both coding AND data analysis, so you can become proficient in a matter of weeks!Most Python training books and courses aim at people who already possess extensive programming skills, and are looking to expand the list of computer languages they're competent in.But what if you don't have a single bit of programming experience?That's where this three-book method comes in! These books contain proven steps and strategies to learn Python Programming quickly and easily, and also to guide you through both Python Machine Learning and Data Science! These volumes will show you the way not only to programming, but will pilot you through the Python Ecosystem, and teach you to use your new skills to succeed!Here's what you get: Book 1: Python Crash Course will teach you--Understanding The Python Coding LanguageGеttіng Pуthоn on Your SуѕtеmThe Python Code BasicsInheritances In The Python CodeWorking With The Python GeneratorsWhat Are 'Regular Expressions'?The Classes And Objects In PythonWhat The Operators Are, And How To Use ThemThe Variables in PythonTroubleshooting a Python ProgramPython is a powerful, flexible, high-level programming language, easy to learn and very powerful because of its simple syntax, which allows short lines of code. This enables programmers to develop more complex programs in less time.Book 2: Python Machine Learning for Beginners will show you-Understanding The Basics of Machine LearningMachine Learning as a Multi-Disciplinary FieldThe Different Types of Machine LearningPython Ecosystem for Machine LearningGetting Familiar with Python and SciPyLoading Machine Learning DataUnderstanding Your Data with Descriptive StatisticsUnderstanding Your Data with VisualizationPreparing Your Data for Machine LearningReal-World Applications of Machine LearningBest Practices to FollowThe Python Ecosystem includes SciPy, NumPy, Matplotlib, Pandas, and scikit learn-these provide virtually all of the Machine Learning algorithms.Book 3: Python Data Science will teach you-Understanding Data ScienceGetting Started with Python for Data ScientistsDescriptive statisticsData Analysis and LibrariesNumPy Arrays and Vectorized ComputationData Analysis with PandasData VisualizationData MiningClassifying with Scikit-learn EstimatorsGiving Computers the Ability to Learn from DataTraining Machine Learning Algorithms"Python Data Science" teaches key topics like data integration, data mining, etc. We will explore NumPy for numerical data, Pandas for data analysis, and others for machine learning and business.These books aren't full of difficult terms and situations, but are practical guides to take you from beginner to proficient in just a matter of weeks! Python is the single most valuable programming language to know today, and I've made it my mission to get you where you need to be. What are you waiting for? Get these books, and start your future now!
