PyCon.DE 2017 Nils Braun - Time series feature extraction with tsfresh - “get rich or die..

Keynote - Safe Space or Trap? Creating Software like DuckDB in Academic Institutions

Automatically Find Patterns & Anomalies from Time Series or Sequential Data - Sean Law

Automated Feature Engineering with Large Scale Time Series Data with tsfresh & Dask | Arnab Biswas

Aileen Nielsen - Irregular time series and how to whip them

Time Series Forecasting with XGBoost - Use python and machine learning to predict energy consumption

The first 20 hours -- how to learn anything | Josh Kaufman | TEDxCSU

Kishan Manani - Feature Engineering for Time Series Forecasting | PyData London 2022

Time Series data Mining Using the Matrix Profile part 1

Encoding Charactersets - may the force be with you [PyCon DE & PyData Berlin 2024]

Automated feature extraction and selection for challenging time-series prediction problems

State of the art time-series analysis with deep learning by Javier Ordoñez

Feature Engineering for Time Series Forecasting - Kishan Manani

Automated Feature Engineering of Time Series Data - Forecasting

Eamonn Keogh - Finding Approximately Repeated Patterns in Time Series

PyCon.DE 2017 Adrian Seyboldt - An introduction to PyMC3

Jeffrey Yau: Time Series Forecasting using Statistical and Machine Learning Models | PyData NYC 2017

Two Effective Algorithms for Time Series Forecasting

Unlock the Power of Dev Containers: Build a Consistent Python Development Environment in Seconds!

But what is a neural network? | Deep learning chapter 1

Machine Learning for Time Series Data in Python | SciPy 2016 | Brett Naul