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practicalML

What this blog is about?

Hello everyone, thank you for stopping by. I am a Data Scientist who used to work as a Software Engineer. Although I’m still a big fan of writing software, I find the journey of comin...

In practicalML, Jun 02, 2021

Model monitoring

Model Monitoring Plan

In my previous two posts (here and here) of this series we identified the different types of data drift and how we can measure and identify where and how much drift is occuring. Howev...

In Model monitoring, Data drift, concept shift, Jun 12, 2021

Python Code Examples for Detecting Data Drift

Let’s take a look at the code for calculating some of the different Statistical distances, namely:

In Model monitoring, Data drift, concept shift, Jun 11, 2021

Detecting Data Drift

In this post we will cover some of the techniques used to identify any data drift that might be going on.

In Model monitoring, Data drift, concept shift, Jun 10, 2021

Data Drift - "Shift" happens. The types of Data Drift behind it

So you’ve developed a model and it has very good performance. Let’s say for simplicity that the performance metric is accuracy and your model has 86% accuracy. But a few months after ...

In Model monitoring, Data drift, concept shift, Jun 09, 2021

Data drift

Model Monitoring Plan

In my previous two posts (here and here) of this series we identified the different types of data drift and how we can measure and identify where and how much drift is occuring. Howev...

In Model monitoring, Data drift, concept shift, Jun 12, 2021

Python Code Examples for Detecting Data Drift

Let’s take a look at the code for calculating some of the different Statistical distances, namely:

In Model monitoring, Data drift, concept shift, Jun 11, 2021

Detecting Data Drift

In this post we will cover some of the techniques used to identify any data drift that might be going on.

In Model monitoring, Data drift, concept shift, Jun 10, 2021

Data Drift - "Shift" happens. The types of Data Drift behind it

So you’ve developed a model and it has very good performance. Let’s say for simplicity that the performance metric is accuracy and your model has 86% accuracy. But a few months after ...

In Model monitoring, Data drift, concept shift, Jun 09, 2021

concept shift

Model Monitoring Plan

In my previous two posts (here and here) of this series we identified the different types of data drift and how we can measure and identify where and how much drift is occuring. Howev...

In Model monitoring, Data drift, concept shift, Jun 12, 2021

Python Code Examples for Detecting Data Drift

Let’s take a look at the code for calculating some of the different Statistical distances, namely:

In Model monitoring, Data drift, concept shift, Jun 11, 2021

Detecting Data Drift

In this post we will cover some of the techniques used to identify any data drift that might be going on.

In Model monitoring, Data drift, concept shift, Jun 10, 2021

Data Drift - "Shift" happens. The types of Data Drift behind it

So you’ve developed a model and it has very good performance. Let’s say for simplicity that the performance metric is accuracy and your model has 86% accuracy. But a few months after ...

In Model monitoring, Data drift, concept shift, Jun 09, 2021