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Viyaleta Apgar

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Towards Data Science

Strategic Data Analysis (Part 1)

Data analysis and the four types of questions it attempts to answer

Oct 7, 2023

Strategic Data Analysis (Part 1)

Oct 7, 2023

Published in
Towards Data Science

Strategic Data Analysis (Part 3): Diagnostic Questions

Deep dive into the approach for answering “why” questions

Oct 26, 2023

Strategic Data Analysis (Part 3): Diagnostic Questions

Oct 26, 2023

Published in
Towards Data Science

Strategic Data Analysis (Part 2): Descriptive Questions

Deep dive into the approach for answering descriptive questions

Oct 14, 2023

Strategic Data Analysis (Part 2): Descriptive Questions

Oct 14, 2023

Published in
Towards Data Science

3 Use-Cases for Gaussian Mixture Model (GMM)

Feature engineering, unsupervised classification, and anomaly detection with the versatility of the GMM algorithm

Jul 27, 2023

3 Use-Cases for Gaussian Mixture Model (GMM)

Jul 27, 2023

Published in
Towards Data Science

The Basics of Anomaly Detection

Basics of anomaly detection, its use-cases, and an implementation of simple yet powerful algorithm in Python

Jul 5, 2023

Scatterplot showing points of x one and x two features, color-coded with probability values. Values closer to the center of the points are lighter and colors further from the center of the two points are darker.

Jul 5, 2023

I Made a Sky Map in Python. Here’s How.

This tutorial shows you how to create a sky map / chart in Python using skyfield library.

Oct 13, 2022

I Made a Sky Map in Python. Here’s How.

Oct 13, 2022

Published in
Towards Data Science

First, We Must Discover. Then, We Can Explore.

A case for a structured data-discovery approach

May 25, 2022

First, We Must Discover. Then, We Can Explore.

May 25, 2022

Published in
Towards Data Science

Is Julia actually right for you?

An overview of advantages, deal-breakers, and resources to get you started

Feb 2, 2022

Is Julia actually right for you?

Feb 2, 2022

Viyaleta Apgar

Viyaleta Apgar

"What I cannot create, I do not understand" - Feynman. Data-informed decision making, data science, insights and recommendations.

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