Kaggle

Can you assign accurate description labels to images of apparel products?

In this playground competition, Kagglers are challenged to develop algorithms to more accurately identify whether images of forests and foliage contain invasive hydrangea or not.

Distinguish images of dogs from cats

And only an accurate classification algorithm can thwart them. Use bone length measurements, severity of rot, extent of soullessness, and other characteristics to distinguish the intruders. Are you ghost-busters up for the challenge?

Predict sales prices and practice feature engineering, RFs, and gradient boosting

The objective of this playground competition is to use binary leaf images and extracted features, including shape, margin & texture, to accurately identify 99 species of plants. Leaves, due to their volume, prevalence, and unique characteristics, are an effective means of differentiating plant species.

This competition challenges you create a machine learning algorithm capable of guessing the next number in an integer sequence.

This competition is well suited for practicing classification basics, feature engineering, and time series analysis.

Use Julia to identify characters from Google Street View images

The objective of this task is to predict keypoint positions on face images. This can be used as a building block in several applications

In this competition, your goal is to correctly identify digits from a dataset of tens of thousands of handwritten images.