2014, Data Science and EDA - Data Science Current

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2014

Data Science

EDA

New Data Challenge: Aviation Weather Forecasting Using METAR Data

Ocean Protocol

FEBRUARY 1, 2024

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).

Exploratory Data Analysis

Exploratory Data Analysis Data Science Cross Validation Machine Learning

Linear Regression for tech start-up company Cars4U in Python

Mlearning.ai

FEBRUARY 28, 2023

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. Brand: Most of the cars in the data belong to Maruti or Hyundai.

Python

Python EDA Exploratory Data Analysis Data Analysis

New Data Challenge: Aviation Weather Forecasting Using METAR Data

Linear Regression for tech start-up company Cars4U in Python

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