datascience
machine-learning-for-software-engineers
| datascience | machine-learning-for-software-engineers | |
|---|---|---|
| 4 | 2 | |
| 4,071 | 27,742 | |
| - | - | |
| 8.3 | 0.0 | |
| 22 days ago | 5 days ago | |
| Creative Commons Zero v1.0 Universal | Creative Commons Attribution Share Alike 4.0 |
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datascience
- Datasciene Libraries for Python
- Datascience Libraries for Python
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Good resources for learning ML with time series in Python? Some links I've found, but looking for canonical resources.
This GitHub repo maintains a good list of resources. Check out the "Time Series" section. https://github.com/r0f1/datascience
- Opinionated List of Data Science Libraries for Python
machine-learning-for-software-engineers
What are some alternatives?
Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai
mlreef - The collaboration workspace for Machine Learning
mlnotify - 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.
100-Days-Of-ML-Code - 100 Days of ML Coding
awesome-bigdata - A curated list of awesome big data frameworks, ressources and other awesomeness.
Awesome-Deblurring - A curated list of resources for Image and Video Deblurring
Kats - Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
awesome-artificial-intelligence - A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
awesome-dva - A curated list of "damn vulnerable apps" and exploitable VMs / wargames. See contributing.md for information.
darts - A python library for user-friendly forecasting and anomaly detection on time series.
awesome-machine-learning-portugues - Um plano de estudos para o aprender machine learning em português