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Python Machine Learning Is The Complete Guide To Everything You Need To Know About Python Machine Learning: Keras, Numpy, Scikit Learn, Tensorflow, Wi (in English)
Erick Myers
(Author)
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Independently Published
· Paperback
Python Machine Learning Is The Complete Guide To Everything You Need To Know About Python Machine Learning: Keras, Numpy, Scikit Learn, Tensorflow, Wi (in English) - Myers, Erick
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Synopsis "Python Machine Learning Is The Complete Guide To Everything You Need To Know About Python Machine Learning: Keras, Numpy, Scikit Learn, Tensorflow, Wi (in English)"
BUY THE PAPER VERSION TO GET THE KINDLE FOR FREEDo you want to learn to program with python machine learning?This book, python machine learning book is for you.Python with machine learning is increasing day-to-day popularity. Python is currently a widely used programming language for machine learning. Like the use of python in professional work, it is also growing reputation inthe academic sector. In Coursera, various online courses, like programming language for machine learning, the use of Python is an excellent tool in machine learning. Python comes with Linux, Mac OSX, and Windows operatingsystem. Python is one of Google's official programming languages. This course will introduce people who know the rough programming to Python for machine learning. The courseis not suitable for those who want to learn machine learning by using python. Those who want to use Python in the fancy project or professional project they can startlearning Python with this course. And those who are preparing for higher education can also get acquainted with Paithan by taking this course.This course is for: Those who are new to the programming will have trouble understanding this course, but those who are already familiar with Python will have many benefits for machine learning purpose.The book includes: INTRODUCTION OF MACHINE LEARNING DATA SCIENCE, ARTIFICIAL INTELLIGENCE, AND MACHINE LEARNING MACHINE LEARNING PREPARATION MACHINE LEARNING WORKING SECTION Linear Regression PRACTICAL LINEAR REGRESSION APPENDIX CONCLUSION
