Introduction to python and machine learning

Python has rapidly become one of the most popular programming languages around the world. Compared to other languages such as Java or C++, Python consistently outranks and outperforms these languages in demand from businesses and job availability. The average Python developer makes over $100,000 - this number is only going to grow in the coming years.

The best part? Python is one of the easiest coding languages to learn right now. It doesn’t matter if you have no programming experience or are unfamiliar with the syntax of Python. By the time you finish this course, you'll be an absolute pro at programming!

This course will cover all the basics and several advanced concepts of Python. We’ll go over:

• The fundamentals of Python programming

• Writing and Reading to Files

• Automation of Word and Excel Files

• Web scraping with BeautifulSoup4

• Browser automation with Selenium

• Data Analysis and Visualization with MatPlotLib

• Regex parsing and Task Management

• GUI and Gaming with Tkinter

• And much more!

You'll get a full understanding of how to program with Python and how to use it in conjunction with scientific computing modules and libraries to analyze data.

You will also get lifetime access to over 100 example python code notebooks, new and updated videos, as well as future additions of various data analysis projects that you can use for a portfolio to show future employers!

By the end of this course you will:

- Have an understanding of how to program in Python.

- Know how to create and manipulate arrays using numpy and Python.

- Know how to use pandas to create and analyze data sets.

- Know how to use matplotlib and seaborn libraries to create beautiful data visualization.

- Have an amazing portfolio of example python data analysis projects!

- Have an understanding of Machine Learning and SciKit Learn!