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
Python String isidentifier()
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Python Dictionary popitem()
Python print()
Python filter()
Learn Keras for Deep Neural Networks - Jojo Moolayil
Python @property decorator
Python List index()
Python Program to Find the Factorial of a Number
Python Program to Remove Duplicate Element From a List
Python chr()
Python bytearray()
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Python Program to Transpose a Matrix
Python Program to Display Calendar
Python Generators
Python Program to Display Fibonacci Sequence Using Recursion
Python Program to Catch Multiple Exceptions in One Line
Python Program to Check Prime Number
Python Get Current time
Python abs()
Python Program to Print Output Without a Newline
Python List copy()
Python Program to Differentiate Between del, remove, and pop on a List
Python Program Read a File Line by Line Into a List
Python Set intersection_update()
Python File I/O Operation
Python String encode()
Python List insert()
Python bytes()
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Python object()
