What I built Developed a machine learning solution to predict Buy Box and sales prices using hist...What I built Developed a machine learning solution to predict Buy Box and sales prices using hist...
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Sowmya Lanka
• Aug 11
What I built
Developed a machine learning solution to predict Buy Box and sales prices using historical analytical data and Linear Regression.
How it works
Analyzed the data for linear relationships, autocorrelation, multicollinearity, homoscedasticity, and normally distributed errors.
Applied Principal Component Analysis (PCA) for dimensionality reduction and to improve model performance.
Identified key business factors influencing price prediction.
Evaluated the model using R², Adjusted R², RMSE, MAE, and MSE metrics.
Technologies
Python · Pandas · NumPy · Scikit-learn · Linear Regression · PCA
Outcome
Built a price prediction model that identified important business drivers and evaluated prediction performance using multiple regression metrics.
AI Engineer Data SciencepandasPythonMachine Learning Engineering
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