Complete Python Programming Machine Learning Start – Advance
Salepage : Complete Python Programming Machine Learning Start – Advance
Archive : Complete Python Programming Machine Learning Start – Advance Digital Download
Delivery : Digital Download Immediately
Looking to learn Python for work or to advance your career?
This course’s objectives are as follows:
Be fully prepared to receive a full-time Python Developer Course at the end of the course.
Have projects to wow your boss and obtain your ideal job!
Advance your Python programming skills from basic to advanced! In this intense course, you will put your understanding of Machine Learning, Data Science, and Data Analysis to use!
Python is the world’s most popular programming language. A Python developer’s annual salary in the United States is $116k. That’s over $30,000 more than the competitors!
This course (Python Programming Beginner to Advanced + Machine Learning) can assist you in accomplishing your goals!
Large organizations such as Google, Facebook, Dropbox, Reddit, Spotify, Quora, and others use Python, Machine Learning, Data Science, and Data Analysis.
Mathematicians, physicists, engineers, and developers like its straightforward and attractive syntax.
It is the most widely used language for AI and machine learning, as well as the easiest to learn. Much easier than C++ or JavaScript! It’s also employed in profitable industries like Machine Learning, Data Science, and Data Analysis.
This course covers all Python has to offer, from the basics to more advanced topics.
A fantastic combination of theory and practice, jam-packed with real-world examples, exercises, and step-by-step solutions – free of “fluff” and lengthy explanations!
Python may be used for automation, web development, and machine learning.
You will discover the following:
Python introductory course:
Functions, Modules, Classes, and Exceptions in Intermediate Python
Python Data Analysis Overview
Python Data Analysis – Machine Learning and Data Science
Tensorflow for image analysis provides an introduction to deep learning.
Machine learning specific libraries and frameworks are available in a wide range of Python distributions, making development easier and faster. Python’s simple syntax and readability allow it to be used for speedy testing of complex algorithms while simultaneously making it accessible to non-programmers.
The availability of a multitude of libraries, such as NumPy, Pandas, and Matplotlib, which simplify data cleaning, data analysis, data visualization, and machine learning tasks, simplifies data science with Python.
Python’s ability to quickly create and manage data structures, for example, is one of the language’s most common applications in data analysis — Pandas, for example, provides a plethora of tools for manipulating, analyzing, and even representing complex datasets — and this is one of Python’s most common applications in data analysis.
We had a team of persons editing and promoting the course, with Mohammad Chowdhury doing the editing and Mohammad Fahmid Chowdhury doing the marketing.
Professors with years of Python experience designed the course. The course content was prepared by Matt Williams, a professor with years of Python and Data Science expertise, and is licensed under the Creative Commons Attribution license.
Attributions:
Mohammad Chowdhury edited the piece.
Music by Bensound
Unsplash thumbnail: Nicole Wolf
Matt Williams from the University of Bristol created the content.
Created under the Creative Commons attribution license
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