- Forecasting: Principles and Practice (book)
(link)
- Time series forecasting with Facebook Prophet
(link)
- PatchTST
(link)
- Unsupervised Feature Selection for Time-Series Sensor Data with MSDA package
(link)
- Time Series Classification with Convolutions
(link)
- Time Series Forecasting in Python: From Zero to Neural Networks in (Only) a Month
(link)
- Time Series Forecasting — Building and Deploying Models
(link)
- Introduction to feature engineering for time series forecasting
(link)
- Hierarchical TimeSeries Reconciliation
(link)
- Training Forecasting Models on Multiple Time Series with Darts
(link)
- How can we quantify similarity between time series?
(link)
- FbProphet — Your Solution to Forecasting Problem
(link)
- Deep learning for time series forecasting framework updates (.95)
(link)
- A Thorough Introduction To ARIMA Models
(link)
- Time Series Anomaly Detection: Simple Yet Powerful Approaches
(link)
- Time Series Forecasting with PyCaret Regression Module
(link)
- M5 Forecasting — Accuracy
(link)
- A comprehensive beginner’s guide to create a Time Series Forecast (with Codes in Python)
(link)
- Time Series Analysis in Python: An Introduction
(link)
- Open Machine Learning Course. Topic 9. Part 1. Time series analysis in Python
(link)
- Time Series Analysis Tutorial with Python
(link)
- Working with Time Series - pandas
(link)
- Almost Everything You Need to Know About Time Series
(link)
- End to End Time Series Analysis and Modelling
(link)
- timeseries_fastai
(link)