https://github.com/razielar/sp-500-time-series-forecasting
https://github.com/razielar/sp-500-time-series-forecasting
Last synced: 3 months ago
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- Host: GitHub
- URL: https://github.com/razielar/sp-500-time-series-forecasting
- Owner: razielar
- Created: 2022-03-07T17:02:01.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2022-03-10T17:59:06.000Z (about 3 years ago)
- Last Synced: 2025-01-11T14:48:36.628Z (4 months ago)
- Language: Jupyter Notebook
- Size: 438 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# S&P 500 time series forecasting
## Instructions:
* Main objective of the analysis that also specifies whether your model will be focused on a specific type of Time Series, Survival Anlaysis, or Deep Learning and the benefits that your analysis brings to the business or stakeholders of this data.
* Brief description of the data set you chose, a summary of its attributes, and an outline of what you are trying to accomplish with this analysis.
* Brief summary of data exploration and actions taken for data cleaning or feature engineering.
* Summary of training at least three variations of the Time Series, Survival Analysis, or Deep Learning model you selected. For example, you can use different models or different hyperparameters.
* A paragraph explaining which of your models you recommend as a final model that best fits your needs in terms of accuracy or explainability.
* Summary Key Findings and Insights, which walks your reader through the main findings of your modeling exercise.
* Suggestions for next steps in analyzing this data, which may include suggesting revisiting this model or adding specific data features to achieve a better model.