[Free Best] The Python Bible 5 in 1: Volumes One To Five (Beginner, Intermediate, Data Science, Machine Learning, Finance) (English Edition) Author Florian Dedov – Andy-palmer.co.uk

The Python Bible 5 in 1: Volumes One To Five (Beginner, Intermediate, Data Science, Machine Learning, Finance) (English Edition) Become A Python Expert From Scratch Python S Popularity Is Growing Tremendously And It S Becoming And Relevant Economically And Technologically The Fields Of Appliaction Of The Language Range Frommachine Learning, Overcomputer Networkingtobusiness ApplicationsIn This In Version You Get A Full Collection Of The Python Bible Series From The First Volume On, You Will Be Lead On A Structured Way To The Mastery Of Python Besides The Basics And The Intermediate Concepts, You Will Also Learn How To Apply It In Areas Like Machine Learning, Financial Analysis And Neural Networks After Reading This Collection, You Will Not Only Understand The Programming Language But You Will Also Be Able To Work On Projects In The Stated Fields You Will Become A True Python Expert What You Will Learn Beginner Level Basics Of Programming With Python Automation Of Simple Processes Programming Of Modular Python Applications Easy Transition To Other Languages Java, C Etc Intermediate Level Object Oriented Programming Network Programming Penetration Testing With Python Regular Expressions Multithreading XML Processing Database Programming LoggingData Science Analyzing And Processing Big Data Statistical Calculations With Python Visualization Of Data Working With NumPy, Matplotlib And PandasMachine Learning Predicting Data With Machine Learning Building Neural Networks With Tensorflow Recognizing Handwritten Digits With Neural Networks Applying Linear Models Like Regression K Nearest Neighbors Classification K Means Clustering Support Vector MachinesFinance Financial Analysis With Python Analyzing And Graphing Stock Data Plotting Trendlines Predicting Share Prices With Machine LearningStart Your Journey And Become APython Expert With The Python Bible


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