Python Machine Learning Bootcamp

Compare

About This Class In this course we'll go from A-Z through all the fundamental machine learning concepts. We'll start at the very beginning and get a fundamental overview of the whole machine learning workload, learning about the different steps of data preparation and processing, creating pipelines and transformers, as well as creating and evaluation models.

AI: Real Time Custom Object Detection with YOLO

Compare

bout This Class Welcome to 'YOLO: Custom Object Detection in Python' Object Detection is the most used applications of Computer Vision, where computer/machine can able to locate and classify the object in an image.

Machine Learning

Compare

In this course, we are going to learn the basic building blocks of machine learning systems. Your project will be to develop a mind-mapping summary of the subjects discussed during the course. In addition, feel free to add new knowledge & ideas to your mind-mapping map.

Create Advance AI (JARVIS 2. 0) With Python

Compare

In this class, you will learn how you can make one Advance AI Assistant (JARVIS 2.0) using Python Programming Language. In this class, you will learn how you can create an Advance Artificial Intelligence Assistant similar to the one from Marvel's Iron Man movie. It is an Intermediate level class and more following classes Like JARVIS On Pi & Ultimate Home Automation With JARVIS AI 2.0 are coming up soon.

Artificial Intelligence and Machine Learning ( Basic )

Compare

This class covers must-know topics for AI product managers, ML practitioners, and anyone in between that’s curious about these emerging fields. We’ll cover many topics and takeaways: Build a Face Emotion Classifier, to practice using ML concepts. What artificial intelligence is and how it relates to machine learning How to learn machine learning, with plenty of practice Practice breaking down AI products into ML problems. Great for understanding ML news. Practice breaking down ML problems. Great as interview practice. Understand taxonomies of ML problems ML concepts like linear regression, bias-variance, classification, regression, featurization etc.