ML Playground

Simulate training machine learning models on sample datasets

Dataset

Classic flower classification - 150 samples, 3 classes

4 features150 rows

Algorithm

Linear Regression

Gradient descent on a linear model - fast, interpretable baseline.

Regression

Sample Data - Iris Dataset

Showing 5 of 150
#sepal_lengthsepal_widthpetal_lengthpetal_widthspecies
15.13.51.40.2setosa
24.931.40.2setosa
373.24.71.4versicolor
46.33.362.5virginica
55.82.75.11.9virginica

What is ML Playground?

ML Playground is a free online tool for students and developers learning AI — handy for training and comparing ML models with instant visual feedback. It runs fully in your browser: fast, private and free forever, with no account needed.

How to use ML Playground?

Step 1: Use the live controls in the tool above — it runs on this page. Step 2: Add your data or settings as the screen prompts. Step 3: Run the tool, then copy or download the result. Everything happens locally in your browser, so large inputs stay private.

Frequently Asked Questions — ML Playground

Is ML Playground free to use?

Yes — ML Playground is a free online tool by DSWallah. No signup, no install, no limits for normal use. It runs entirely in your browser.

Do I need to install anything for ML Playground?

No. ML Playground works online in Chrome, Edge, Firefox or Safari on mobile and desktop. Your data never leaves your device.

Who should use ML Playground?

ML Playground is built for students and developers learning AI — useful for training and comparing ML models with instant visual feedback. DSWallah students use it daily in our AI Course and Gen AI Course batches.

Learn the skill behind the tool: AI Course in Lucknow · Gen AI Course

Related free tools: Ai Chat · Ai Code Explainer · Ai Python Quiz · Backpropagation Visualizer

About ML Playground

Dataset lo, model train karo, accuracy dekho — bina ek line likhe ML ka feel pao. DSWallah ML Playground beginners ke liye machine learning ka pehla kadam hai. Free.

How to use (3 steps)

  1. Dataset chuno.
  2. Algorithm aur parameters set karo.
  3. Train dabao — accuracy aur boundary dekho.

FAQs

Coding aani chahiye?

Nahi iske liye. Baad me Python track se code seekho.

Ye free hai?

Haan, fully free.

Interview me kaam aayega?

Haan — overfitting, train-test split samjhane me.

Popular courses: Data Science Course in Lucknow · AI Course in Lucknow · Python Course in Lucknow · Power BI Course · Data Analytics Course