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Decoding METAR Data: Insights from the Ocean Protocol Data Challenge

Ocean Protocol

METAR, Miami International Airport (KMIA) on March 9, 2024, at 15:00 UTC In the recently concluded data challenge hosted on Desights.ai , participants used exploratory data analysis (EDA) and advanced artificial intelligence (AI) techniques to enhance aviation weather forecasting accuracy. C in 2014 to 26.24°C

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New Data Challenge: Aviation Weather Forecasting Using METAR Data

Ocean Protocol

We will only use 1 airport for this data challenge, though METAR is a standard score updated at each airport. The data we use for this challenge is Miami's historical METAR logs from 2014–2023. Their primary objective is to develop advanced models that accurately predict future weather conditions at KMIA (Miami Airport).

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Linear Regression for tech start-up company Cars4U in Python

Mlearning.ai

As a data scientist at Cars4U, I had to come up with a pricing model that can effectively predict the price of used cars and can help the business in devising profitable strategies using differential pricing. In this analysis, I: provided summary statistics and exploratory data analysis of the data.

Python 52
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How to Use Exploratory Notebooks [Best Practices]

The MLOps Blog

And that’s what we’re going to focus on in this article, which is the second in my series on Software Patterns for Data Science & ML Engineering. I’ll show you best practices for using Jupyter Notebooks for exploratory data analysis. When data science was sexy , notebooks weren’t a thing yet.

SQL 52