This repository contains hands-on Jupyter notebooks for Applied Data Science concepts, experiments, and projects. The notebooks cover data cleaning, visualization, feature engineering, machine learning, and more, using Google Colab for execution.

Using the power of Python and Jupyter notebooks to automate analysis of scientific literature

Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.