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Machine Learning Capstone Project - Udacity MLND(State Farm Distracted Driver Detection)

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Machine-Learning-Capstone-Project

Machine Learning Capstone Project - Udacity MLND(State Farm Distracted Driver Detection)

1.Following are the file descriptions and URL’s from which the data can be obtained :

• imgs.zip - zipped folder of all (train/test) images
• sample_submission.csv - a sample submission file in the correct format
• driver_imgs_list.csv - a list of training images, their subject (driver) id, and class id

https://www.kaggle.com/c/state-farm-distracted-driver-detection/download/driver_imgs_list.csv.zip
https://www.kaggle.com/c/state-farm-distracted-driver-detection/download/imgs.zip
https://www.kaggle.com/c/state-farm-distracted-driver-detection/download/sample_submission.csv.zip

2.Following are the details of Software environments with version details :

• Python 3.6.0 :: Anaconda 4.3.1 (64-bit)
• Tensorflow 1.1.0
• Keras 2.0.4

3.Submitted outputs for Test dataset are available in Capstone Outputs1.zip and Capstone Outputs2.zip files.