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-quick_title.py (or ipynb)

• difficulty(k0, k1, ... k9): 0: easy, 5: normal, 9: very difficult
• k0-XX: 00 serial number
• quick_title: quick title for the Kaggle data

Please see k0-00-template.ipynb

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

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