I'm looking for consulting work in data science/data analysis. I'm based in Christchurch, New Zealand, but I'm happy to work remote.
I have a background in media & communication, so I'm happy working with clients of any technical ability ^_^ I've worked on projects ranging from surveys of social workers to network analysis, so I'm happy to try anything!
Day 4. Are Your Students Learning? How to check for learning as we’re teaching
Here are 5 exercises you can use as formative assessments when teaching coding skills, that will allow you to support your student at the moment when the learning is happening.
Join #PyData#Pittsburgh for a casual gathering of the local, national, and international PyData community on the sidelines of #PyCon US 2024! Meet up with fellow #DataScience, #MachineLearning, and scientific computing enthusiasts when the world's largest Python conference comes to town.
I recently concluded 2 urban #datascience projects that I dreamt of doing since a long time, with 2 super talented MSc students who visited us @nerdsitu last year from Germany, Carlson @cbueth and Henrik @supergrobi.
(1/2) I have been following the work of @stevensanderson and David Kum for a few years now, and I am excited to see the release of their new book 🥳- Extending Excel with Python and R 🚀.
The book focuses on the common conjunction and collaboration between data scientists and Excel users. This includes scaling and automating #Excel tasks with #RStats and #Python and core data science applications such as data wrangling, working with APIs, data visualization, and modeling.
In the past few months, I created a bunch of Docker 🐳 tutorials covering random topics, from a fun setting for a Python 🐍 environment on the CLI to advanced topics such as multi-stage builds 🏗️. I organized all the tutorials under one folder, and I plan to keep updating this folder with future-related ones 😎.
Currently on my Docker tutorial TODO list:
➡️ Docker ENTRYPOINT vs CMD
➡️ Docker multi-architecture build
I've ended up with an inquiry from a #DataScience student interested in examples of #harm coming to people because of #data collection (especially in a war context, but open to anything). Do folks have any favorite pointers / examples I could pass along?
(1/2) Google released a new foundation model for time series forecasting 🚀
The TimeFM (Time Series Foundation Model) is a foundation model for time series forecasting applications. This pre-trained model was developed by the Google Research team. It joins the recent trend of leveraging foundation models for time series forecasting, which includes Salesforce's Moirai and Amazon's Chronos.
Join BetaNYC and the MTA Open Data team on June 5th at 9:30am to explore recently published MTA operating budget datasets. We’ll learn about the MTA’s open data program and conduct insightful analyses with their data.