Danica Simic on Instagram: "Signal analysis using deep learning Jokes aside, I built an ECG Signal Analysis deep learning model using CNN-LSTM architecture to detect heart arrhythmias. The reason why I combined CNN (Convolutional Neural Networks) and LSTM recurrent neural networks is because of their excellent spatial pattern recognition which is important for PQRST waves. CNN excels at spatial pattern recognition LSTM captures temporal dependencies (rhythm patterns) So in the end I got a crazy

Time Series Analysis and Forecasting using Python

AI-Powered Time Series Forecasting with Python Online Class | LinkedIn Learning, formerly Lynda.com

Applied Time Series Analysis and Forecasting in Python

10 Incredibly Useful Time Series Forecasting Algorithms — Advancing Analytics

ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting | Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1