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 frozenset()
Python Program to Merge Two Dictionaries
Python String isdecimal()
Python Dictionary popitem()
Python List sort()
Python Deep Learning Cookbook - Indra den Bakker
Python classmethod()
Python String isupper()
Python callable()
Python Set copy()
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Python sleep()
Python map()
Python chr()
Python Program to Print Output Without a Newline
Python RegEx
Python issubclass()
Python Program to Compute all the Permutation of the String
Python File I/O Operation
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Python String zfill()
Python Program to Count the Number of Occurrence of a Character in String
Python Set symmetric_difference_update()
Python Shallow Copy and Deep Copy
Python exec()
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Python Program to Convert Bytes to a String
Python Strings
Python Keywords and Identifiers
Python Program to Calculate the Area of a Triangle
Python Program to Find the Sum of Natural Numbers
Python Program to Multiply Two Matrices
