gdelt
datascience
Our great sponsors
| gdelt | datascience | |
|---|---|---|
| - | 4 | |
| - | 4,071 | |
| - | - | |
| - | 8.3 | |
| - | 15 days ago | |
| BSD 3-clause "New" or "Revised" License | Creative Commons Zero v1.0 Universal |
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gdelt
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Tracking mentions began in Dec 2020.
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
What are some alternatives?
heidi - heidi : tidy data in Haskell
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
awesome-datascience - :memo: An awesome Data Science repository to learn and apply for real world problems.
machine-learning-for-software-engineers - A complete daily plan for studying to become a machine learning engineer.
awesome-ml-for-cybersecurity - :octocat: Machine Learning for Cyber Security
mlnotify - 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.
awesome-production-machine-learning - A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
awesome-bigdata - A curated list of awesome big data frameworks, ressources and other awesomeness.
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.
mlreef - The collaboration workspace for Machine Learning