Blessing Agyei Kyem's Projects
Linux Shell basics
Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools
Implementing the Cholesky Algorithm in Python.
In this project, we used unsupervised learning specifically K-Means to segment customers into various groups
Deep Learning Specialization by Andrew Ng on Coursera.
Exercises from https://www.pyimagesearch.com/deep-learning-computer-vision-python-book/
Predicting heart disease using Machine learning
Real estate agents want help to predict the house price for regions in the USA. <br> He gave you the dataset to work on Create a model that will help him to estimate what the house would sell for.
A project on Logistic Regression, K-Neighbors Classifier and Decision Trees
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
Pytorch implementation of MixNMatch
Contains lecture notes and other course materials for NLP Specialization by deeplearning.ai
Latex code for making neural networks diagrams
Practical Python Programming (course by @dabeaz)
Contains all the codes of the new stuff I learn in Python
Style guides for Google-originated open-source projects
PyTorch Tutorial for Deep Learning Researchers
YOLOv5 đ in PyTorch > ONNX > CoreML > TFLite
Simple and Easy simulator YOLOv5 Object Detection with Bird's Eye View
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent