- Data Science
... Linear Regression, Logistic Regression, Decision Trees, Random Forest, XGBoost, Naive Bayes, K-Means, SVM, PCA, etc.- Preprocess and analyse structured/tabular datasets.- Evaluate models using metrics like accuracy, precision, recall, ROC-AUC, and RMSE.- Build predictive models, deploy them into production, and monitor performance.- ...
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