Adding LendingClub income distrubtion fitting notebook

Author: samuelleach

README.md

@@ -5,3 +5,4 @@ Python notebooks for demonstrating various ideas, APIs, libraries.
 - [prophet-uber](https://github.com/samuelleach/python-notebooks/blob/master/prophet-uber/1.0-sl-prophet-uber.ipynb) - Timeseries forecasting of Uber data using [Prophet](https://facebookincubator.github.io/prophet/), which includes a trend, a weekly component and the impact of holidays.
 - [simpy-broadcast](https://github.com/samuelleach/python-notebooks/blob/master/simpy-broadcast/1.0-sl-simpy-message.ipynb) - Demonstration of using [simpy](https://simpy.readthedocs.io/en/latest/) to simulate a stream of read receipts for messages broadcast to 10 recipients.
 - [stepwise-processor](https://github.com/samuelleach/python-notebooks/blob/master/stepwise-processor/1.0-sl-stepwise-processor.ipynb) - Stepwise processor pattern from Mahmoud Hashemi's Enterprise Software with Python course. Demonstrates topic summarization using Wikipedia.
+- [lendingclub-scipy](https://github.com/samuelleach/python-notebooks/blob/master/lendingclub-scipy/1.0-sl-lendingclub-scipy.ipynb) - Demonstrates fitting an alpha distribution with scipy to LendingClub loan data.

lendingclub-scipy/1.0-sl-lendingclub-scipy.ipynb

@@ -0,0 +1,3 @@
+#!/bin/bash
+wget https://resources.lendingclub.com/LoanStats_2017Q1.csv.zip
+unzip *zip