Every Monday: Data Science Lunch & Learn

Online at lunch time on Crowdcast

Content

Upcoming events
Past events
More events and resources

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.

Upcoming events

You?

We are busy planning new events and creating new content and material. Suggestions on topics and speakers are always welcome! Let us know by creating an issue in this repo

Coming soon

Trusted AI - learn about fairness and explainability
Data exploration with Python - series using various datasets
Deep learning series

Past events

29th March 2021: Update on COVID data analysis

Presenter: Damiaan Zwietering - twitter
Find all notebooks in this repo
Replay

15th March 2021: Data Visualisation 101 with Python

Presenter: Yamini Rao
Replay
Slides and Jupyter notebook

1st Feb 2021: Teaching Computers to Read (part 2)

Presenter: Ed Shee
Replay
Slides and Jupyter notebook

18 Jan 2021: Staying Competitive with AutoAI

Presenter: Gregory Bramble (AutoAI Architecture)
Replay

14 Dec 2020: Teaching Computers to Read (part 1)

Presenter: Ed Shee
Replay
Slides, notebook and data

7 Dec 2020: Deep Reinforcement Learning in Finance / Trading using Ray and RLlib

Presenter: Romeo Kienzler
Replay
Repo with material used
Gym from OpenAI

30 Nov 2020: Predict Loan Eligibility using Machine Learning Models

Presenter: Mridul Bhandari - twitter / linkedIn
Replay
Notebook: https://raw.githubusercontent.com/mridulrb/Predict-loan-eligibility-using-IBM-Watson-Studio/master/loan-eligibility.ipynb
Repo and data
Blog and tutorial

23 Nov 2020: Learn clustering algorithms using Python and scikit-learn

Series on COVID data analysis

Presenter: Damiaan Zwietering - twitter
Find all notebooks in this repo
21 Sept 2020: Exploring COVID data with pandas (Replay)
5 Oct 2020: Modeling COVID data (Replay)
19 Oct 2020: Fitting the COVID curves (Replay)
2 Nov 2020: Mapping COVID projections (Replay)
16 Nov 2020: AMA with Damiaan (Replay)

9 Nov 2020: Automate your machine learning workflow tasks using Elyra and Kubeflow Pipelines

Presenter: Patrick Titzler - twitter / LinkedIn
Replay
Slides and resources
Elyra docs
Blog

26 Oct 2020: Classification Models using Python and Scikit-Learn

Presenter: Yamini Rao
Replay
Notebook: https://github.com/IBMDeveloperUK/Data-Science-Lunch-and-Learn/blob/master/notebooks/Classification_models.ipynb

12 Oct 2020: Getting started with scikit-learn

Presenter: Margriet Groenendijk
Replay
Notebook: https://github.com/IBMDeveloperUK/Data-Science-Lunch-and-Learn/blob/master/notebooks/20-10-12-getting-started-sklearn.ipynb

28 Sept 2020: Detecting bias in crime data - part 1

Presenter: Margriet Groenendijk
Replay
Notebook: https://github.com/IBMDeveloperUK/Data-Science-Lunch-and-Learn/blob/master/notebooks/bias-in-crime-data-1-v0.ipynb

More events and resources

Call for Code Spot Challenge for Wildfires

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.

Landing page - http://ibm.biz/cfcsc-wildfires
GitHub repo - https://github.com/Call-for-Code/Spot-Challenge-Wildfires
Leaderboard - http://ibm.biz/cfcsc-wildfires-lead
Slack workspace - http://callforcode.org/slack Channel #cfcsc-wildfires

IBMDeveloperUK/Data-Science-Lunch-and-Learn

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