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1

Profile Your Data

Drop a CSV and instantly see row counts, types, distributions, nulls, and duplicates.

Try it

  1. Click "Download Sample Data" below
  2. Open Data Profiler
  3. Drop the file
  4. See instant stats for all 5 columns

Sample: Iris dataset — 150 rows, 5 columns (sepal/petal measurements + species).

Open Tool
2

Clean Messy Data

Remove duplicates, fix nulls, trim whitespace — then export the cleaned version.

Try it

  1. Open Data Cleaner
  2. Drop iris.csv
  3. Click "Drop Duplicate Rows"
  4. Try "Trim Whitespace"
  5. Export as CSV
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3

Auto-ML

Upload a CSV, pick a target column, and Auto-ML trains 5 different algorithms — Logistic Regression, Random Forest, Gradient Boosting, KNN, and SVM — then tells you which one wins.

Try it

  1. Open Auto-ML
  2. Drop iris.csv
  3. Set target to "species"
  4. Click "Run Auto-ML"
  5. See 5 models compared — best one highlighted green
  6. Enter 5.1, 3.5, 1.4, 0.2 → predicts "setosa"
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4

Build a Neural Network

Design your own neural net — add layers, pick activations, watch the loss curve drop in real-time.

Try it

  1. Open Neural Net Trainer
  2. Drop iris.csv
  3. Check all 4 features, target = "species"
  4. Task = Classification
  5. Add Dense layers: 16 relu → 8 relu
  6. Click Train — watch live loss chart
  7. Export the model when done
Open Tool
5

Train an Image Classifier

No code needed. Drag photos into classes, train with MobileNet transfer learning, test with your webcam.

Try it

  1. Open Image Classifier
  2. Create 2 classes (e.g. "pen" vs "phone")
  3. Add 5+ photos per class
  4. Click Train (~30 seconds)
  5. Test with a new photo or webcam

Use any images from your computer — screenshots, photos, downloaded images.

Open Tool
6

Explore Clusters

Run KMeans on your data and see clusters visualized as a 2D scatter plot.

Try it

  1. Open Clustering Explorer
  2. Drop iris.csv
  3. Select all 4 numeric features
  4. KMeans, k=3
  5. See 3 clusters matching the 3 iris species
  6. Check the silhouette score
Open Tool

You just trained ML models in your browser

No Python. No server. No sign-up. All 11 tools are free forever.

📊Data Profiler 🧹Data Cleaner ✅Schema Validator 🔄Format Converter 📈Dataset Explorer ⚡Auto-ML 🧠Neural Net Trainer 🖼️Image Classifier 🔮Clustering Explorer 📉Time Series Forecaster 🎮Model Playground
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