Andika Rachman
Community@andikarachman · Jakarta, Indonesia
Agent Skills by Andika Rachman
Showing 19 vetted skills indexed across 1 GitHub repositories.
andikarachmantuning-hyperparameters
Plan and execute hyperparameter tuning with Optuna and scikit-learn.
andikarachmanshap
Attribute model predictions to input features using SHAP values.
andikarachmanexploratory-data-analysis
Detect file types and generate Markdown EDA reports for 200+ scientific formats.
andikarachmanreproducibility-checklist
Audit seeds, versions, data hashes, and environments for ML experiment reproducibility.
andikarachmaneda-checklist
Guide structured EDA checklist checks for tabular dataset quality issues.
andikarachmantarget-leakage-detection
Detect temporal, direct, and group data leakage in machine-learning feature sets.
andikarachmansetup
Audit Python version and installed DS/ML libraries for environment readiness.
andikarachmandata-quality-frameworks
Automate data quality validation with Great Expectations, dbt tests, and data contracts.
andikarachmanstatistical-analysis
Guide statistical test selection with automated assumption checks and APA-style reporting.
andikarachmandata-preprocessing
Preprocess raw data into clean, analysis-ready datasets with pandas and numpy.
andikarachmanpandas-pro
Automate pandas 2.0+ data loading, cleaning, aggregation, and profiling.
andikarachmanmodel-card
Generate standardized model documentation in HuggingFace Model Card and NVIDIA Model Card++ formats.
andikarachmanexperiment-tracking
Logs ML experiments with required fields like hypothesis, git commit, and split for reproducibility.
andikarachmanmatplotlib
Create publication-quality figures with Matplotlib's object-oriented interface.
andikarachmanaeon
Integrate end-to-end time-series machine learning workflows with scikit-learn-style APIs.
andikarachmanpolars
Perform high-performance data analysis with Polars using lazy evaluation and fast I/O.
andikarachmanstatsmodels
Generate Statsmodels API patterns for regression, GLM, discrete choice, and time-series analyses.
andikarachmansplit-strategy
Select train/validation/test split strategies based on data characteristics.
andikarachmanscikit-learn
Create reusable scikit-learn pipeline patterns for preprocessing, model selection, and evaluation.