Machine Learning & Artificial Intelligence with Python

Looking to master Machine Learning for your job or as a career enhancement?

Goals of this course:

• Be completely ready to get a full-time Python Developer Course at the end of the Course
• Have projects to impress your Employer and land that dream job!

Go from beginner to advance in Python Programming! Apply your knowledge in Machine Learning Data Science & Data Analysis in this intensive course!

Python is the most widely used programming language on the planet. In the United States, the average pay for a Python developer is $116k. That’s almost $30k more than the competition! This course (Python Programming Beginner to Advanced + Machine Learning) will help you reach your dreams!

Python, Machine Learning, Data Science, and Data Analysis are utilized by large corporations like as Google, Facebook, Dropbox, Reddit, Spotify, Quora, and others.

Its clear and beautiful syntax appeals to mathematicians, scientists, engineers, and developers.

It’s the most popular language for AI and machine learning, and it’s also the best language for novices to learn. Much less difficult than C++ or JavaScript! It is also used for various lucrative fields such as Machine Learning, Data Science, and Data Analysis.

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!

Learn how to use Python for automation, web development, and machine learning.

You will learn the following:

Introduction to Python course:

Intermediate Python- Functions, Modules, Classes, and Exceptions

Introduction Data Analysis in Python

Applied Data Analysis in Python – Machine learning and Data science

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.

In data analysis using 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.