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💻 How to Use

  1. Select the mode: Classification, Regression, Clustering, or Dimensionality Reduction.
  2. Generate a dataset using the sidebar options or upload your own.
  3. Choose your algorithm and run training.
  4. View results as charts, accuracy/R² scores, or cluster visualizations.

🧭 User Workflow

AlgoLab provides flexibility for users to either upload their own dataset or generate synthetic data. Every algorithm module follows a consistent flow to ensure ease of use and visualization clarity.

✅ Steps Followed in Each Algorithm Section:

  1. Choose Dataset Source

    • 📂 Option 1: Upload a CSV file (with headers).
    • 🔧 Option 2: Generate a synthetic dataset using built-in sliders and options.

  2. Preview or Display the Data

    • View a snippet of the dataset (first few rows).
    • Option to display data statistics like shape, missing values, etc.

  3. Visualize Feature Relationships

    • Select any feature for X and Y axis.
    • View scatter plots or distribution plots for visual intuition.

  4. Select and Apply Algorithm

    • Choose from the list of supported ML algorithms based on the selected mode.
    • Train the model on the dataset.
    • Display relevant metrics (e.g., Accuracy, R², Confusion Matrix) and visualization results.