Daniel Kadaso's Projects
Source Code for 'Beginning C++20' by Ivor Horton and Peter Van Weert
This is a Computer vision package that makes its easy to run Image processing and AI functions. At the core it uses OpenCV and Mediapipe libraries.
A public repo of datasets
Demo for Github Intro video
Sample codes for random exercises outlined in several resources, especially books.
🚀 Generate GitHub profile README easily with the latest add-ons like visitors count, GitHub stats, etc using minimal UI.
Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Config files for my GitHub profile.
Leverage machine learning models to predict price of diamond gemstone based on its physical attributes such as gemstone clarity, shape, color, etc.
A case study of a University final year project conducted in 2018.
Source code for 'Python Machine Learning Case Studies' by Danish Haroon
Analysis of two-dimensional rock stresses using Mohr stress circle
A set of helper functions for statistic numerical data analysis.
A set of helper functions useful for processing numeric data statistically.
The TinyML "Hello World" sine wave model on Arduino Uno v3
Tkinter GUI Application Development Blueprints Second Edition, published by Packt
Analysis of worldwide electricity production from various sources using Python (pandas and Matplotlib)