Python Programming Beginner to Advance + Machine Learning
Looking to mater Python for your job or as a career enhancement?
Its clear and beautiful syntax appeals to mathematicians, scientists, engineers, and developers.
This course covers all Python has to offer, from the fundamentals to more advanced subjects.
A great blend of theory and practice, jam-packed with real-world examples, exercises, and step-by-step answers – devoid of “fluff” and long explanation!
You will learn the following:
Introduction to Python course:
Intermediate Python- Functions, Modules, Classes and Exceptions
Introduction to Deep Learning – Tensorflow for image analysis
Machine learning specialized libraries and frameworks are available in a large number of Python distributions, making the development process easier and decreasing development time. Python’s straightforward syntax and readability enable it to be used for fast testing of complicated algorithms while also making it accessible to those who are not programmers.
Data science with Python is made simpler by the availability of a plethora of libraries, such as NumPy, Pandas, and Matplotlib, which facilitate data cleaning, data analysis, data visualization, and machine learning activities.
In data analysis using python python’s ability to create and manage data structures quickly, for example, is one of the most common applications of the language in data analysis — Pandas, for example, provides a plethora of tools for manipulating, analyzing, and even representing complex datasets — and this is one of the most common applications of Python in data analysis.
The course was created by professors with years of Python experience. The course content was created by Matt Williams, he is a professor with years of Python and Data Science experience, under the CC Attribution license.
Editing: Mohammad Chowdhury
Music: from Bensound
Thumbnail: by Nicole Wolf on Unsplash
Content creator: Matt Williams from University of Bristol
Created under CC attribution license
Author : Homework Helper Proz
Ratings : 4.5 / 5.0
Students : 17,650 students