What you would learn in Complete Machine Learning & Deep Learning course + coding?
Imagine feeling frustrated that you don't understand AI, Machine Learning, or Deep Learning. This course will help you get into a range of high-paying jobs by helping you master the topics. This course is unique in that it explains everything in a logical order. This course is not for the faint of heart and requires discipline.
The course does not require prior knowledge and offers refreshers in algebra, calculus, and statistics. This course assumes you have no previous coding experience. The software we use is free and open-source. Each block of code will be explained.
This course can be delivered using simple whiteboard and screen recordings. The lecture contains the code in. ipynb files. Lectures 1-12 are more detailed than others, so notes are available for most lectures. Some notes are also available on my Github account (mfattis), which I have referenced. Most of the notes were handwritten. Although the notes are difficult to read, it is helpful to have them on hand when you look at the videos.
Artificial Intelligence. Machine Learning. Deep Learning. Data Science. Data Scientist.
Coding, Code python, Keras, colab, pandas
Machine Learning Fundamentals and Math Refresher for Machine Learning: Linear algebra, calculus, and statistics