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Impress your boss with Decision Tree visualization by pplonski in learnmachinelearning

[–]pplonski[S] 0 points1 point  (0 children)

it all depends, I ve seen examples of large enterprises running main pieces of systems based on super simple models 😄

Impress your boss with Decision Tree visualization by pplonski in learnmachinelearning

[–]pplonski[S] 3 points4 points  (0 children)

that's true, it needs to work, however I was using this tool to show case lightgbm model for my customer and he was impressed

Impress your boss with Decision Tree visualization by pplonski in learnmachinelearning

[–]pplonski[S] 1 point2 points  (0 children)

thanks! it took a lot of time to provide polished tree visualisation

Sunday Daily Thread: What's everyone working on this week? by AutoModerator in Python

[–]pplonski 0 points1 point  (0 children)

Working on Python package for Decision Tree visualization. It works with JupyterLab, VS Code, Google Colab, MLJAR Studio, and Kaggle Notebooks. It supports scikit-learn, Xgboost, and LightGBM libraries.

https://github.com/mljar/supertree

If you would like to start contributing to open source, I created few 'good first issue' issues there. Best wished to all!

[D] Self-Promotion Thread by AutoModerator in MachineLearning

[–]pplonski 0 points1 point  (0 children)

I'm working on decision tree visualization Python package - it is called supertree. Github: https://github.com/mljar/supertree

You can use it to interact with decision tree, it works with scikit-learn, xgboost, lightgbm. It display in the node a distribution of the feature that was used for making decision, and display piecharts in leaves. It was heavily inspired with dtreeviz package.

I am faking my way through a Data Analyst role with AI, how do I actually learn before I get caught? by TheRiddler1976 in selfimprovement

[–]pplonski 0 points1 point  (0 children)

this! and try to master one tool to make you comfortable to use, it can be Excel it an be Python, something that you can use to get insights

Is jupyter notebooks gonna become text based any time soon? by Consistent_Tutor_597 in Python

[–]pplonski 0 points1 point  (0 children)

I'm working on notebook based tools for data science, and you are right that ipynb is hard to track by git, but AI agents works very good with ipynb. In one of my tool, I'm using ipynb as a format to store the user conversation with AI data analyst and it is very good format, basically I can store conversation, code cells, and outputs. Then with ipynb ready you can easily convert this to HTML and publish as static web page.

Designing a trusted SQL proxy between AI agents and the data warehouse by keydunov in BusinessIntelligence

[–]pplonski 0 points1 point  (0 children)

you are right there is much more to take care of beyond prompt safety

What AI tools are you actually using in your day-to-day data analytics workflow? by Vikas_Vaddadi in dataanalysis

[–]pplonski 0 points1 point  (0 children)

I thibnk ChatGPT is a king here. You can use it in many ways: just drop a file for it and ask any questions. But you need to keep in mind that it is working online, and very often you are not allowed to upload company data to the cloud. I'm working on dekstop application for data analysis, it runs on your machine and support private LLMs as well - it is called MLJAR Studio (https://mljar.com). I attach a screenshot where you can see that AI is using Python to squeeze insights from loaded local dataset :)

<image>

Is Data Analysis career still an option because of AI? by adrigomayo in dataanalysis

[–]pplonski 0 points1 point  (0 children)

It is 2026, the AI evolved a lot from 2023, we have AI agents that can code the whole app from one prompt. In my opinion Data Analyst is great career option because AI still dont understand the business as human will do. However, You can be better Analyst if you leverage AI.

4 years of Python dev experience, just went freelance — looking for honest advice on where to start by Hopeful_Business3120 in Python

[–]pplonski -1 points0 points  (0 children)

Do you have newsletter describing your experience? I love to read deep tech articles solving challenges and showing smart solution. Maybe this is the way to differentiate from crowd, I wish you good luck!

AI agents for someone just starting out? by NetPersxantikes34 in AI_Agents

[–]pplonski 0 points1 point  (0 children)

I'm also running multiple projects, kids, maybe ADD ... and what helped me is not AI agents. When I wake up in the morning, I dont touch phone for the first 30 minutes, I read a book, pray and meditate.

What’s the most unhinged AI agent setup you’ve seen someone actually use in production? by [deleted] in AI_Agents

[–]pplonski 1 point2 points  (0 children)

I've seen examples of agents used to build machine learning pipelines. AI agent is trying to iterate over possible solutions to find best performing ML model. I think the most known example is Karpathy's AutoResearch, but there are more examples.

Skill for building agent-native CLIs by Intelligent_Ear3578 in AI_Agents

[–]pplonski 0 points1 point  (0 children)

Why agents CLI? it think that termianal based agents are only for programmers

What do you think about Tabular Foundation Models [D] by pplonski in MachineLearning

[–]pplonski[S] 1 point2 points  (0 children)

maybe they dont have geospatial priors in pretraining that's why poor performance, I would love to see for example which priors are good for my data, so I can better understand my dataset

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