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
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Python String title()
Python Program to Convert Bytes to a String
Intelligent Projects Using Python - Santanu Pattanayak
Python chr()
Python Program to Merge Mails
Python Numbers, Type Conversion and Mathematics
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Python Program to Print Output Without a Newline
Python String isprintable()
Python classmethod()
Python list()
Python Operators
Python slice()
Python Program to Get Line Count of a File
Python Program to Split a List Into Evenly Sized Chunks
Python Program to Compute all the Permutation of the String
Python String split()
Python zip()
Python while Loop
Python issubclass()
Fundamentals of Deep Learning - Nikhil Bubuma
Python Program to Get the Last Element of the List
Python sum()
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Python staticmethod()
Python Program to Catch Multiple Exceptions in One Line
Python Program to Get the Class Name of an Instance
Python Shallow Copy and Deep Copy
Python time Module
Python Program to Find HCF or GCD
Python getattr()
