- ✅ **Data import** from CSV, Excel, JSON, SQL, MongoDB, API
- 🧹 **Data cleaning & transformation** (mean, median, interpolation, log, Box-Cox)
- 🔄 **Missing data imputation** using:
- statistical methods
- KNN and regression
- neural networks (autoencoders)
- 📊 **Exploratory and statistical analysis**
- basic statistics
- correlation matrix
- ANOVA
- time series decomposition
- 🤖 **Machine Learning:**
- Classification & regression (decision tree, SVM, KNN, random forest)
- Clustering (KMeans, DBSCAN)
- Anomaly detection (Isolation Forest, LOF)
- 🔍 **AutoML support** via:
- AutoSklearn
- TPOT
- Optuna (hyperparameter tuning)
- 🎨 **Visualizations** including heatmaps, PCA, t-SNE, interactive plots
- 📄 **Report generation** in HTML via Jinja2 templates
- 🧠 **Model explanation** using SHAP & LIME (coming in next release)
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📦 Installation
bash
pip install AquaAgent
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🛠 CLI Example
bash
run-aquaagent odra_dataset.csv --target chlorophyll --mode interactive --model autosklearn --impute knn
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🧬 Use Cases
- Long-term Odra River water quality modeling
- Climate and environment-aware AI modeling
- Teaching and rapid prototyping for environmental data scientists
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🙌 Acknowledgments
Special thanks to the open-source community and to scientific contributors!