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ml-digit-recognizer's Introduction

Digit Recognizer

Kaggle challenge.

Overview

We tackled the Kaggle challenge 'Digit Recognizer'. It consists of predicting with Machine Learning Regression models numbers that are shown in images.

Dataset

The dataset was provided by Kaggle and was consisted in 42000 pixelated (28,28) images of hand drawn numbers.

Main Steps

  • Dataset exploration
  • Normalizing
  • Modeling
  • Final testing
  • Submiting

How to run the code

  1. Either clone the repository or download the files
  2. Install requirements (requirements.txt.txt)
  3. Download the dataset from Kaggle
  4. Open the notebook: ML-Digit-Recognizer/main.ipynb
  5. Run the notebook

Techniques and tools

  • Pandas: Dataset manipulation
  • Numpy: Array manipulation
  • Scipy, Scikitlearn: Train and test set
  • Tensorflow, Keras: Modeling

Model

image

Final score

image

ml-digit-recognizer's People

Contributors

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