As a data scientist or statistician, we must have come across Confidence and Prediction interval several times and we often end up confusing these two terms to be the same but they are not the same. We are going to see how these two intervals are different and they provide the estimates for different aspects of the prediction.
When we talk about the statistical model for time series forecasts, we have five sources of error:
How many times has it happened that you have built a predictive or descriptive model in python and now you want to share your work with others to access it? When data is not changing then it can be accomplished by sharing the Jupyter notebook itself or a static HTML file. …
Avid learner | DS@Walmart | Ex- Fractal, Cisco, Ericsson