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 Modules
Python String capitalize()
Python Program to Get Line Count of a File
Python Program to Iterate Over Dictionaries Using for Loop
Python Program to Convert Decimal to Binary Using Recursion
Python Global Keyword
Python Dictionary copy()
Python String rstrip()
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Python Set copy()
Python String encode()
Python String isdigit()
Python Set symmetric_difference_update()
Python Program to Create Pyramid Patterns
Python issubclass()
Python filter()
Python List
Python divmod()
Python Program to Illustrate Different Set Operations
Deep Learning with Theano - Christopher Bourez
Python Tuple count()
R Deep Learning Essentials - Dr. Joshua F.Wiley
Python Program to Get a Substring of a String
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Python Set pop()
Python Program to Find Factorial of Number Using Recursion
Python max()
Python String istitle()
Machine Learning with Python for everyone - Mark E.Fenner
Python range()
Python Set symmetric_difference()
Python type()
