https://github.com/ccomkhj/a-list-of-awesome-forecast-resources
A list of awesome forecast resources based on the usefulness on production-grade.
https://github.com/ccomkhj/a-list-of-awesome-forecast-resources
Science Score: 36.0%
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○Scientific vocabulary similarity
Low similarity (6.3%) to scientific vocabulary
Last synced: 9 months ago
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Repository
A list of awesome forecast resources based on the usefulness on production-grade.
Basic Info
- Host: GitHub
- Owner: ccomkhj
- Default Branch: main
- Size: 5.86 KB
Statistics
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 1 year ago
· Last pushed 11 months ago
Metadata Files
Readme
readme.MD
A list of awesome forecast resources
Filtering is done completely based on my personal standards. (Highly subjective.)
Criteria: Informative&Practicality in production applications.
🔝 Top Recommendations
- 🎥 Feature Engineering for Time Series Forecasting
- 🎥 Backtesting and error metrics for modern time series forecasting
- 🎥 Unlocking the Power of Gradient-Boosted Trees
- 🎥 How to use Feature Engineering for Machine Learning, Equations
👍 Worth Watching
- 🎥 Nathaniel Cook - Forecasting Time Series Data at scale with the TICK stack
- 🎥 Forecasting With Classical and Machine Learning Methods
- 🎥 Tackling the Cold Start Challenge in Demand Forecasting
- 🎥 Boosting Time Series Accuracy: The Power of Ensemble Methods
- 🎥 Solving Real-World Business Problems with Bayesian Modeling
- 🎥 Probabilistic demand forecasting at scale
- 🎥 Can one do better than XGBoost?
- 🎥 Decision Trees and Ensemble Methods | Stanford CS229
- 🎥 MLBBQ: Are Transformers Effective for Time Series Forecasting?
⚠️ Not Helpful for me (But May Be Useful for You)
Owner
- Name: Huijo
- Login: ccomkhj
- Kind: user
- Location: Germany
- Company: @hexafarms
- Website: https://ccomkhj.github.io/
- Repositories: 3
- Profile: https://github.com/ccomkhj
Self Learner
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