After knowing basics of machine learning, deep learning, and TensorFlow/Keras, what's the next?

Kaggle provides many interesting problems for machine learning experts. This repository hosts interesting Kaggle problems and show how to solve these problems using decent deep learning models.

k0-00-short-title

• Difficulty (k0, k1, ... k9):
  • 0: easy
  • 5: normal
  • 9: very difficult
• k0-XX: 00 serial number
• short-title: title for the Kaggle data
• put .py, .ipynb, and data files in the directory
  • If data files are large, you can create a script. Please check this

Please see k0-00-template.ipynb

• Kaggle name
• dataset/problem description
• loading data
• model to solve the problem
• results
• future work and exercises

requests==2.13.0
beautifulsoup4==4.6.0

or

pip install -r requirements.txt

• kaggle_download.py: Kaggle download script

  1. Create kaggle.ini
     • Copy kaggle.ini.sample and name it kaggle.ini
     • Fill out your username and password in kaggle.ini
  2. Accept the agreement term in Kaggle website
     • Click the download button on the competition main site
  3. Find a competition name
     • Competition name can be found in the URL
     • For example, if the url is https://www.kaggle.com/c/digit-recognizer,
       then the competition name is digit-recognizer
  4. In terminal,

  # python kaggle_download.py competition-name --destination path/to/save/dataset
  # Example:
  $ python kaggle_download.py digit-recognizer --destination k0-01-mnist/input

• kaggle_submit.py: Kaggle submission script

  1. You can also submit your submission
  2. In terminal,

  # python kaggle_submit.py competition-name /path/to/submission.csv -m "Submission message"
  # Example:
  python kaggle_submit.py digit-recognizer k0-01-mnist/submission.csv -m "First Submission"

py.test

We welcome any contributions including writing issues and sending pull requests.

• https://www.quora.com/What-Kaggle-competitions-should-a-beginner-start-with-1
• http://ndres.me/kaggle-past-solutions/
• http://www.chioka.in/kaggle-competition-solutions/
• http://analyticscosm.com/learning-predictive-analytics-kaggle-competition-solutions/