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Neural forecasting methods can enhance forecasting accuracy, but they are often difficult to use and computationally expensive.
NeuralForecast provides a simple way to use efficient models, using familiar scikit-learn syntax. The models available in NeuralForecast range from classic networks like RNN to the latest transformers.
Manually reviewing code changes in pull requests (PRs) can be time-consuming and error-prone, especially in large projects or teams. Sourcery can streamline this process by automatically handling the review process.
After submitting a PR, Sourcery quickly reviews the code, checking for bugs and code quality, allowing developers to focus on more complex tasks.
Consider the scenario where you need to query a CSV file and subsequently share the results in a Slack channel every Monday to monitor the data and enhance team communication.
Completing this task manually each week can be inefficient and repetitive.
However, with Kestra, you can streamline this process by automating it with just a few lines of YAML code.