Join the movement of the Artificial Intelligence Revolution.

This course covers:

This 43.5 hours of on-demand video course is aimed at complete beginners who want to learn about Python and Machine Learning. It includes full lifetime access and can be accessed on both mobile devices and television sets, allowing students to learn anywhere at any time. Upon completion of the course, students will receive a Certificate of Completion verifying their knowledge in this field.

What will be learned

Acquire the skill of programming in Python.

Explore the field of machine learning.

Incorporate artificial intelligence into your programming.

Acquire the skills of data analysis and prediction making.

About the author

John Purcell works as a trainer in software development.

Having worked as a software developer and contractor for various companies, including CSC, Proquest, SPSS, and AT&T in the UK and Netherlands for more than 14 years, he opted to become a full-time private software trainer. After residing in Budapest, Hungary for four years and in Berlin for one year, he currently resides in Italy.

Requirements

Python and machine learning are powerful tools for people with any level of computer knowledge. While a basic understanding of computers is helpful when learning Python, it is not necessary. All you need to know is how to open applications, save files and install software packages.

In particular, Python and Machine Learning don’t require any specific knowledge about programming or coding since most courses that teach these topics start from the basics.

For those students who have a basic knowledge of algebra, it will come in handy and make it easier to understand certain concepts throughout the course. However, it is not mandatory for success in this course as everything can be learned along the way.

Description

The course covers the fundamentals of computer programming in Python and introduces the basics of machine learning in Python.

This course offers the opportunity to participate in the revolution of Artificial Intelligence.

You will acquire knowledge:

A guide on programming in Python.

This article covers the fundamental concepts of desktop programming using Python.

Both object-oriented programming and functional programming techniques are used in computer programming.

This article discusses the implementation of machine learning techniques in coding.

This article covers the fundamental techniques of data visualization and analysis.

The libraries include Numpy, Pandas, Matplotlib, scikit-learn, Keras, and others.

Naive Bayes and decision trees are effective techniques for prediction and classification.

ML techniques can be utilized to make predictions about data series, identify clusters within data, automatically classify data samples, and recognize handwritten digits.

This course offers modern computer skills that can be helpful for both beginners and those with some coding experience, potentially leading to employment opportunities in Python-related jobs.

Python is a widely used programming language that stands out for its capabilities in supporting machine learning and artificial intelligence.

This course covers the entire spectrum of Python programming, starting from basic "hello world" programs and advancing to complex programs that include artificial intelligence techniques, allowing your software to learn and perform tasks automatically.

I will demonstrate and explain programming and mathematical concepts step-by-step while typing the code and providing suggested exercises.

This course is intended for:

Individuals with no prior experience in computer programming.

Individuals with prior programming experience seeking to enhance their understanding of Python or acquire knowledge of the language.

Individuals proficient in Python seeking to acquire knowledge on how to integrate AI/ML into their software.