Data Science and Analytics using Matlab, RapidMiner, and Excel

DATA PRE-PROCESSING: Missing Value Replacement, Encoding, Discretization, Aggregation, Anomaly Detection, Data Normalization, Dimensionality Reduction, Feature Selection, Attribute Weighting, Feature Extraction, Unbalanced Class Reduction, dll; DATA VALIDATION: Hold-Out, K-Fold, Leave-One-Out, Bootstrapping, dll; PROCESSING: Regression, Classification, Clustering, Association, Correlation, Searching, Machine Learning, Optimization; EVALUATION & COMPARISON: Algorithm Complexity, Confusion Matrix, SSE, MSE, RMSE, MAPE, Clustering Performance, Variables Correlation, Bias & Variant (Over Fitting), T-Test, ANOVA, dll; VISUALIZATION & SUMMARY: Tables, Graphs, Plots; REPORTING: writing, artikel/paper, slide presentation, proposal, report, dll. OTHERS: Excel (VBA, Automation, Formulas, Functions, Macros, Add-Ins, Form, Pivot Tables, Charts & Graphs, Database, PDF/Word to Excel, Fixing, Formatting, Templates, dll), Manual Algoritma Komputasi, Konsultasi, dll; Thanks, Azminuddin Azis