This comprehensive course guides you through the fascinating world of face recognition using Python. Starting with an introduction to face recognition concepts, you'll proceed to set up your environment using Anaconda and address any initial setup challenges. The course then delves into Python basics, ensuring you have the foundational knowledge required for more advanced … [Read more...] about Computer Vision: Face Recognition Quick Starter in Python
Data Science
Python Fundamentals and Data Science Essentials
This course starts with an introduction to Python programming, covering everything from installation and setup of Python and Anaconda to fundamental concepts such as variables, numeric and logical operations, control structures like if-else and loops, and defining functions. The journey continues with in-depth modules on strings and lists, ensuring a solid understanding of … [Read more...] about Python Fundamentals and Data Science Essentials
Introduction to RNN and DNN
Artificial Intelligence is transforming industries by enabling machines to learn from data and make intelligent decisions. This course offers an in-depth exploration of Recurrent Neural Networks (RNN) and Deep Neural Networks (DNN), two pivotal AI technologies. You’ll start with the basics of RNNs and their applications, followed by an examination of DNNs, including their … [Read more...] about Introduction to RNN and DNN
Measures of Variability
This course provides a comprehensive exploration of statistical variability, equipping students with the skills to identify and interpret various measures within data distributions. Learners will delve into calculating variance and standard deviation, comparing these measures, and understanding their implications. The course also emphasizes graphical analysis, enabling … [Read more...] about Measures of Variability
How to Create and Explore a Data Set
This course provides a comprehensive introduction to data analysis, focusing on the understanding and interpretation of data sets. Students will learn to describe data sets, characterize variables, create and interpret graphs, and identify and interpret frequency distributions using jamovi. The course also emphasizes the critical evaluation of data presentation, teaching … [Read more...] about How to Create and Explore a Data Set
