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 Program to Check If a List is Empty
Python String format_map()
Python divmod()
Python Program to Find the Sum of Natural Numbers
Python Set pop()
Python Program to Check If Two Strings are Anagram
Python Global, Local and Nonlocal variables
Python String swapcase()
Artificial Intelligence by example - Denis Rothman
Python print()
Deep Learning in Python - LazyProgrammer
Python List append()
Python Dictionary setdefault()
Python Program to Get the Class Name of an Instance
Python Program to Remove Punctuations From a String
Python Program to Capitalize the First Character of a String
Python Program to Count the Number of Occurrence of a Character in String
Python type()
Python while Loop
Introduction to the Math of Neural Networks - Jeff Heaton
Python List insert()
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Python Program to Solve Quadratic Equation
Python Object Oriented Programming
Python setattr()
Python List pop()
APIs in Node.js vs Python - A Comparison
Python Program to Merge Two Dictionaries
Python hasattr()
Python Program to Differentiate Between type() and isinstance()
Python *args and **kwargs
Python list()
