It is deployed using github pages. You can check out the visualiser here .

It is a best Visualiser for implementing K-Nearest Neighbours Algorithm with 3 different classes i.e A,B,C.

It is implemented completely using JavaScript.

It is developed using ml5.js and p5.js.

1. Firstly for training click on start training.
2. Once step 3 is completed now select the class and mark on the canvas.
3. Once marking of classes is done then click on “Stop Training” button and then click on “Start Prediction” button.
4. Now click on canvas and predictions will be seen and you can visualise the KNN Algorithm.
5. Enjoy Learning!
6. Drop a ⭐ on the Github Repository.

If you find a bug (gave undesired results), kindly open an issue here by including your search query and the expected result.

If you'd like to request a new function, feel free to do so by opening an issue here. Please include sample queries and their corresponding results.

For any kind of suggesstions/ help in code Please mail me at [email protected].