Kaggle Planet Satelite Machine Learning Competition

##Repo Structure

• train.csv (the labels for the image data)
• sample_submission_v2.csv (an example of what a submission should look like)
• submission.csv (my actual submission)
• submission_additionalepochs.csv (my actual submission part2)
• script_RGBstats.py (my image classifier using RGB statistics and random forest)
• script_RGBstats_Edge.py (my image classifier using RGB statistics, edge statistics, and random forest)
• scriptTensorflow.py (my image classifier using tensorflow)
• Keras_Submission_Final.ipynb (my final image classifier used to get my highest score using a fine-tuned image classifier and RGB statistics with keras)

##Run your own copy

1. Download or clone repo
2. Download and install Anaconda distribution, because it has most everything you need pre-packaged
3. Open a terminal and run command jupyter notebook
4. It will open a browser window with a file explorer, then open the desired ipynb file.
5. You may need to install additional python packages via pip install to run code