Digit Recognizer

Who this competition fits

Advanced practitioners with experience in general machine learning. Requires strong technical foundations and comfort with complex ML pipelines.

What this competition gives you

Taken from the competition's official page.

• DataHandwritten-digit image data in train.csv and test.csv
• TutorialKeras deep neural network tutorial
• TutorialKeras MLP implementation tutorial
• TutorialDimensionality reduction tutorial
• TutorialRandom forest benchmark tutorial in R
• TutorialNeural network tutorial in R
• TutorialMinimum distance classifier tutorial

From registration to a first submission

1. 01

   Python

2. 02

   scikit-learn or similar ML library

3. 03

   data analysis with pandas

Before you commit: Requires solid machine learning fundamentals and good experimental methodology. The competitive landscape is strong, with many experienced teams.