The Legend of Data - Ep.9 - Logistic Regression

Sorry for the video quality, lot’s of frames were dropped… I am still investigating why

Today we continue to explore how we can fit a model to predict the outcome given the data. In some cases, the outcome is either this or that, it’s a binary prediction and in this case, it cannot be fit with a straight line like we did last week. Therefore, we need logistic regression.

If you have any questions or any suggestions about which Python or Data Science topics to cover, please leave your comment at my Twitch channel

You can get the slide deck here. The notebook that I used can be found here.

See more of my talks on YouTube.

After having a career in data science, Cheuk now brings her knowledge in data and passion for the tech community as the developer advocate for Anaconda. Cheuk constantly contributes to the open-source community by giving free talks and tutorials and organize sprints to encourage diversity contributions.