Machine learning and predictive analytics are becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace .It is one of the fastest growing trends in modern computing and everyone wants to get into the field of machine learning. In order to obtain sufficient recognition in this field, one must be able to understand and design a machine learning system that serves the needs of a project. The idea is to prepare a Learning Path that will help you to tackle the realworld complexities of modern machine learning with innovative and cutting-edge techniques. Also, it will give you a solid foundation in the machine learning design process, and enable you to build customized machine learning models to solve unique problems.
Python Deeper Insights into Machine Learning – Sebastian Raschka & David Julian & John Hearty
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Python complex()
Python Dictionary items()
Python Tuple
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Python tuple()
Python String rsplit()
Python del Statement
Python Program to Transpose a Matrix
Python Program to Sort a Dictionary by Value
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Python Program to Count the Number of Digits Present In a Number
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Python Program to Compute the Power of a Number
Python Input, Output and Import
Python String partition()
Python List extend()
Python List insert()
Python Program to Convert Celsius To Fahrenheit
Python Program to Find the Factors of a Number
Python Program to Sort Words in Alphabetic Order
Python chr()
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Python list()
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
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Python Program to Generate a Random Number
Python Data Types
Python Set issubset()
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Python String rfind()