python-projects

NYC Taxi project - Analysis of trip data of NYC taxi for prediction of tip. This is a common data scienct project in the net. In my solution, I have tried to look at the statistical distribution of tip data
K-sparse autoencoder - Image classification using Imagenet data (http://image-net.org/). This is an implementation of the algorith from the paper - http://arxiv.org/pdf/1312.5663v2.pdf
tensorflow autoencoder - Autoencoder implemented on the imagenet dataset using TensorFlow

Name		Name	Last commit message	Last commit date
Latest commit History 16 Commits
1. NYCTaxiTip.ipynb		1. NYCTaxiTip.ipynb
2. k-sparse-autoencoder.ipynb		2. k-sparse-autoencoder.ipynb
Autoencoder.ipynb		Autoencoder.ipynb
Ensemble_Test.ipynb		Ensemble_Test.ipynb
Forecasting using DL and GDBT.ipynb		Forecasting using DL and GDBT.ipynb
LICENSE		LICENSE
README.md		README.md

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