Comments (3)
Hey, we could also write a function to generate a correlation between features! (From William)
from stock_analyzer.
To start, I think we could have a function that plot the stock, a function to plot the correlation heatmap, and a function to summarize some key statistics (avg price over 50 days, 1 month, 1 year, percentage change, etc.) (From William)
from stock_analyzer.
Regarding log-transformation, I believe it can be a parameter for Moving average, exponential smoothing and prediction. This way, users can choose whether to do modeling and prediction on raw data or logged data. We can also add ARIMA as another function. (see here https://towardsdatascience.com/the-complete-guide-to-time-series-analysis-and-forecasting-70d476bfe775)
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Related Issues (20)
- License checklist HOT 1
- Docstrings for functions
- Friday 1pm Meeting Zoom Link
- Saturday Final Review Meeting at 2:30pm
- summary statistics function
- exponential smoothing function
- moving average function
- visualize functions
- writing codes for moving average
- writing codes for summary statistics
- writing codes for exponential smoothing
- writing codes for data visualizations
- Make sure that the tests cover all branches
- Check whether the code passes the unit tests you have written using the pytest package
- Exception handling
- Create project structure for the R project
- Github actions workflow for continuous integration
- GitHub actions workflow for continuous deployment
- Documentation
- Use proper grammar and full sentences throughout the project, especially in your README
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