Perform data wrangling and exploratory data analysis on a subset of loan listings from Prosper, an online peer-to-peer lending business. From the subset of 6,123 listings between 1 July 2008 and 31 December 2009, examine selective attributes on borrower and loans, time series events to see their effects on loan listing distributions. Create a storyboard to showcase the findings in univariate, bivariate and multivariate visualizations.
Gather data from a variety of sources and in a variety of formats, assess its quality and tidiness, then clean it. Showcase data wrangling results through analyses and visualizations.
Use a pre-trained deep learning model to train an image classifier to recognize different species of flowers, which can be exported for use in applications like a smart phone app.