onefact / datathinking.org

Data Thinking website deployed using GitHub Pages
https://datathinking.org
Apache License 2.0
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[homework: doing, reading, watching] Linear, logistic regressions and embedding visualizations of Zulip data #129

Closed GulnaraY closed 1 year ago

GulnaraY commented 1 year ago

Doing

Reviewing

Reading

Watching

(message Jaan if you need a VPN or these links don't work)

GulnaraY commented 1 year ago

image For 1.doing.

GulnaraY commented 1 year ago

datathinking_org_latex_report_template_Copy (3).pdf

aalksnk commented 1 year ago

From me: the report is really nice even though it's short (I'd like to call it minimalistic:)). However, there are all the data that was asked and I like 3D graphs (mine were only 2D). What can be improved is that the report could possibly contain more details.

From GPT4: The given report has several strong sides. It includes visualizations of linear regression, logistic regression, and embeddings in 3D, which can help readers understand these concepts better. The report also uses a self-improvised CSV file for data analysis, which shows the author's initiative and creativity. Additionally, ChatGPT was used to generate codes for the visualizations, which can be a useful tool for researchers who are not familiar with coding. The report also explains the concepts of linear regression and logistic regression in detail, which can be helpful for readers who are new to these topics. The given information does not provide any specific details about the visualization or the writing. Therefore, it is not possible to identify what could be improved or what does not make sense in them. The information only mentions that the report consists of visualizations of linear regression, logistic regression, and embeddings in 3D, and that ChatGPT helped generate codes for these visualizations based on the CSV data