Resources for weekly Data Science Lunch & Learns
Online at lunch time on Crowdcast
Many of the events use a Jupyter notebook to go through example code. We will mainly use Watson Studio to run these, but you can run them on any platform. To follow along in Watson Studio sign up for a free IBM Cloud account and create a Watson Studio service as described in these instructions.
https://raw.githubusercontent.com/mridulrb/Predict-loan-eligibility-using-IBM-Watson-Studio/master/loan-eligibility.ipynb
https://github.com/IBMDeveloperUK/Data-Science-Lunch-and-Learn/blob/master/notebooks/Classification_models.ipynb
https://github.com/IBMDeveloperUK/Data-Science-Lunch-and-Learn/blob/master/notebooks/20-10-12-getting-started-sklearn.ipynb
https://github.com/IBMDeveloperUK/Data-Science-Lunch-and-Learn/blob/master/notebooks/bias-in-crime-data-1-v0.ipynb
The ultimate goal of this challenge is to predict the area of wildfires in 7 regions in Australia for February 2021 with historical wildfire and both historical and forecast weather data, so you will be predicting fires before they happened! The final submissions were on 31 January 2021.