Ames Housing Dataset — End-to-End Machine Learning Project
تفاصيل العمل
•Perform comprehensive Exploratory Data Analysis (EDA) to understand the dataset •Apply robust data preprocessing: outlier removal, imputation, encoding, and scaling •Engineer new predictive features from existing data •Train and compare five different machine learning algorithms •Tune the best model using GridSearchCV hyperparameter optimization •Evaluate models using R², RMSE, MAE, learning curves, and residual analysis •Deploy the final model in an interactive Streamlit web application
مهارات العمل
بطاقة العمل
طلب عمل مماثل
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