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Upload your data, pick an algorithm, and get results in seconds. No code required.
Group similar data points together without labels. Discover hidden patterns, segment customers, detect anomalies, and explore the natural structure in your data.
14
Algorithms
4
Categories
Algorithms
Train models to predict categorical labels from features. Build classifiers with confusion matrices, ROC curves, feature importance, and calibration diagnostics.
9
Algorithms
4
Categories
Algorithms
Predict continuous numeric values from features. From linear baselines to gradient boosting — with R², residual plots, and feature importance diagnostics.
11
Algorithms
4
Categories
Algorithms
Preprocessing
Data Preparation
Clean, transform, and encode datasets through a sequential Transformation Chain. Impute missing values, scale features, encode categoricals, and filter columns — then export to Pipeline or Python.
Dim. Reduction
Transformation & DR
Reduce high-dimensional data for visualization, noise removal, and feature extraction. From classic PCA to modern manifold techniques like UMAP and t-SNE.
Genetic Algos
Optimization
Evolutionary optimization algorithms inspired by natural selection. Solve complex search and optimization problems with population-based metaheuristics.
Time Series
Forecasting
Forecast future values from sequential data. ARIMA, Prophet, exponential smoothing, and deep learning approaches for temporal patterns.
Assoc. Rules
Market Basket
Discover item co-occurrence patterns in transactional data. Find which products are frequently bought together using Apriori and FP-Growth.
Pick from Clustering, Classification, Regression, Preprocessing, or Dimensionality Reduction — or build a Pipeline.
Upload a CSV or Excel file, pick an algorithm, tune parameters, and hit run — or chain steps in Pipeline mode.
Explore interactive charts, detailed metrics, and downloadable model files. All results are visual and exportable.
60+
Algorithms & Methods
6
Modules
N-D
Dimensional Support
CSV / XLSX
Data Upload