Data Wrangling through Python libraries such as Pandas, NumPy, Warnings. Data namely Salaries extracted from Kaggle.com 🚀
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Updated
Apr 27, 2025 - Jupyter Notebook
Data Wrangling through Python libraries such as Pandas, NumPy, Warnings. Data namely Salaries extracted from Kaggle.com 🚀
A comprehensive analysis in R of weak signal propagation within the WSPR network, focusing on the impact of distance, frequency, and power on signal-to-noise ratios. The project includes data cleaning, statistical analysis, and linear regression modeling to predict signal reception quality and understand the factors influencing signal propagation.
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