Sale Forecasting using python
Budget: $10 – $100 AUD
Create a model that provides product-level sales estimates.
1.Using these data, build a model to estimate sales with a measure of estimate
uncertainty. Be sure to clearly document your steps and reasoning; we’re
looking for a window into why you do the things you do.
2. Provide a product-level estimate of weekly averaged sales using the data
provided in the validation.pq file.
3. When you’ve built and evaluated the model to your satisfaction, compose a
summary section at the end of your notebook to inform business stakeholders
of your findings. This summary should highlight your primary findings,
actionable insights, and recommended next steps.
Please check the attached file.
1.Using these data, build a model to estimate sales with a measure of estimate
uncertainty. Be sure to clearly document your steps and reasoning; we’re
looking for a window into why you do the things you do.
2. Provide a product-level estimate of weekly averaged sales using the data
provided in the validation.pq file.
3. When you’ve built and evaluated the model to your satisfaction, compose a
summary section at the end of your notebook to inform business stakeholders
of your findings. This summary should highlight your primary findings,
actionable insights, and recommended next steps.
Please check the attached file.