Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

Implementations in python of methods and programming assignments of course Machine Learning of Coursera by Andrew Ng

Collection of jupyter notebooks for demonstrating software.

Tutorials for GW Open Data Workshop, 2023

Minimal, clean example of lstm neural network training in python, for learning purposes.

🎓 Sharing machine learning course / lecture notes.

Earthquake Prediction Challenge with LightGBM and XGBoost

Used Tensorflow for creating neural network and training it on earthquake dataset from Kaggle. It takes the date, latitude, longitude and depth as input to compute a prediction for the earthquake m…

Official data on the COVID-19 epidemic in Malaysia. Powered by CPRC, CPRC Hospital System, MKAK, and MySejahtera.

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.