Retail-Sales-Analysis-and-Forecast-using-Machine-Learning and retail-sales-analysis-project
These are **competitors** — both are standalone end-to-end ML solutions for retail sales forecasting with similar functionality (EDA, model training, visualization), so users would select one based on accuracy metrics (A claims 97.4%) and interface preference (A emphasizes ML model, B emphasizes Streamlit dashboard).
About Retail-Sales-Analysis-and-Forecast-using-Machine-Learning
gopiashokan/Retail-Sales-Analysis-and-Forecast-using-Machine-Learning
Build a machine learning model to predict weekly sales with 97.4% accuracy. Integrated Exploratory Data Analysis tools to analyze trends, patterns, and actionable insights. The solution enables detailed sales comparisons, evaluates feature impacts and ranges, and identifies top performers, greatly enhancing decision-making in the retail industries.
About retail-sales-analysis-project
kainemonkey/retail-sales-analysis-project
📊 Analyze and forecast retail sales with historical data using ML techniques, featuring a Streamlit dashboard for insights and visualization.
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