This report presents a comprehensive analysis of a sales dataset, encompassing exploratory data analysis (EDA), data cleaning, feature engineering, regression modeling, ensembling techniques, and evaluation of results. The objective is to extract valuable insights, optimize sales strategies, and provide a detailed assessment of the approaches employed. The report also highlights surprising discoveries made during the analysis and outlines potential avenues for future work.
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This report analyzes a sales dataset, covering EDA, data cleaning, feature engineering, regression modeling, ensembling, and result evaluation. It aims to extract insights, optimize sales strategies, and assess the approaches used. It also notes surprising findings and suggests future directions.
MaryamAli-2020/House-Prices-Advanced-Regression-Techniques
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This report analyzes a sales dataset, covering EDA, data cleaning, feature engineering, regression modeling, ensembling, and result evaluation. It aims to extract insights, optimize sales strategies, and assess the approaches used. It also notes surprising findings and suggests future directions.
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