An all-in-one data science platform. Clean messy datasets, explore automated EDA visualizers, build AutoML models, scrape web data, and synthesize executive PDF reports in seconds.
| Algorithm | Accuracy | Precision | Recall | Status |
|---|---|---|---|---|
| Random Forest | 96.8% | 95.2% | 97.1% | Optimal |
| XGBoost Classifier | 95.4% | 94.6% | 96.2% | Trained |
| SVM Classifier | 92.4% | 91.0% | 93.5% | Trained |
Everything you need to transform raw datasets into trained machine learning models and executive reports.
Multi-format parser for CSV, Excel & JSON files with automatic schema validation, datatype detection, and data profiling.
Automated missing value imputation, outlier detection & removal, feature encoding, scaling, and 1-click dataset export.
Automated correlation heatmaps, distribution plots, feature relationships, skewness metrics, and statistical summaries.
Train Random Forest, SVM, kNN, Decision Trees, and more with live metric tracking and accuracy leaderboards.
Conversational AI context engine to chat with your datasets in natural language and generate instant analytical answers.
Generate executive PDF reports with automated summary insights, statistical charts, and key model findings in 1 click.
Click through the interactive tabs below to see simulated outputs from our platform core engines.
IntelliHub AI detects missing entries, handles skewed values, encodes categorical variables, and scales numerical columns automatically.
Train state-of-the-art ML algorithms simultaneously with cross-validation and hyperparameter optimization.
Ask questions about your data in plain English. Get instant statistical answers and trend explanations.