We are all stories in making, so why don’t make a better version.

Photo by Nikola Knezevic on Unsplash

Stories we tell is what we become.

That’s why it’s important to pay attention to the stories we keep telling ourselves.

1. Introduction

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.

  1. Random individual errors
  2. Random estimates of parameters (e.g. the coefficients for each autoregressive term)
  3. Uncertain hyper-parameters (e.g. number of autoregressive terms)
  4. Unsure if the model…

Photo by Carlos Muza on Unsplash

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

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