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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

The data we use for this challenge is Miami's historical METAR logs from 2014–2023. Challenge Overview Objective : Building upon the insights gained from Exploratory Data Analysis (EDA), participants in this data science competition will venture into hands-on, real-world artificial intelligence (AI) & machine learning (ML).

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Linear Regression for tech start-up company Cars4U in Python

Mlearning.ai

Exploratory Data Analysis (EDA) Univariate EDA Price: The price of a used car is the target variable and has a highly skewed distribution, with a median value of around 53.5 Year: More than half the cars in the data were manufactured in or after 2014. Here, both budget-friendly Maruti cars and Lamborghinis are in our stock.

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