pplonski86

8 ms·

91.
AutoML Example Projects: A Guide with 10 Popular Datasets(mljar.com)
2 points by pplonski86 2y ago|0 comments
92.
ChatGPT for Advanced Data Analysis in Python Notebook(mljar.com)
1 points by pplonski86 2y ago|0 comments
93.
AutoML Open Source Framework with Python API and GUI(mljar.com)
1 points by pplonski86 2y ago|0 comments
94.
Use ChatGPT Inside Jupyter Notebook with Mljar Studio(mljar.com)
1 points by pplonski86 2y ago|0 comments
95.
Show HN: JupyterLab desktop app with interactive code snippets and AI assistant(github.com)
1 points by pplonski86 2y ago|0 comments
96.
Show HN: New desktop app for Python notebooks, for beginners in data science(github.com)
3 points by pplonski86 2y ago|0 comments
97.
Show HN: Explore variables in Python notebook – JupyterLab extension(github.com)
1 points by pplonski86 2y ago|0 comments
98.
Show HN: Jupyter Variable Explorer for Python(github.com)
1 points by pplonski86 2y ago|0 comments
99.
Show HN: Jupyter Package Manager – Manage Python Packages Directly in JupyterLab(github.com)
1 points by pplonski86 2y ago|0 comments
100.
LightGBM Predict on Pandas DataFrame – Column Order Matters(mljar.com)
1 points by pplonski86 2y ago|1 comments
101.
Open-Source AutoML Frameworks: How to Choose the Right One(mljar.com)
1 points by pplonski86 2y ago|0 comments
102.
Open-Source AutoML Frameworks: How to Choose the Right One(mljar.com)
1 points by pplonski86 2y ago|0 comments
103.
by pplonski86 2y ago
Boring tech is boring because it is reliable. You don't need to fight constantly with it. You can forget about it, and focus on your work. Maybe reliable equals mature.
104.
by pplonski86 2y ago
Agree. The software should be good and reliable. Then we can think about small and simple improvements like that. I would say that software should be first smart, then it can be fun.
105.
by pplonski86 2y ago
It is about the tools that you are using. The better the tool, the faster the job is done. I always get the best machine I can afford and never regret it. I'm working with data; I have a desktop machine with 256 GB RAM and 36 CPUs; it
106.
by pplonski86 2y ago
> You write because you think, because you observe, because you need to put it somewhere. This resonates with me. Many things get more precise when I write down my thoughts or explain them to others. For my company, I use the blog to exp
107.
by pplonski86 2y ago
> Still, imagine it as a real-but-relatively-junior virtual coworker. Now imagine 1,000 of them. Or 1 million of them. Now imagine such agents in every field of knowledge work. I really don't want a future in which I had to supervis
108.
The future of no code data science, my no code extensions for Python notebooks(mljar.com)
2 points by pplonski86 2y ago|0 comments
109.
by pplonski86 2y ago
It takes some effort, but there’s a lot to gain. When I track what I eat and keep my daily calories in check, I feel much better. If I’m unsure of the exact calorie count, I’ll estimate a bit higher - around 1.2x.
110.
by pplonski86 2y ago
My dream is to create product that I don’t need to promote. I would like to have such market fit that people will search for product by them self.
111.
by pplonski86 2y ago
I'm working on AI assistant in Python notebook. It aims to help with data science tasks. I'm not using it to do a full analysis. It will fail. What I ask is to create a code snippet for my next step in the analysis. Many times I n
112.
by pplonski86 2y ago
Amazing results! Beating AutoML with single model is not easy :) Could you please explain like I'm five what is doing a trick? You have model pre-trained on large set of small datasets and you leverage it to boost performance? Training
113.
by pplonski86 2y ago
Congrats on launch. I watched the demo video, the UI looks nice. Is it possible to write raw Python or SQL to query data? Do you have automatic interval refresh of data? What databases do you support?
114.
by pplonski86 2y ago
Thank you for comment. Version control is crucial for software development. Data science has a lot of experimentation involved. In my opinion, not everything should be in version control system. My typical workflow is to experiment heavily
115.
How to become a Data Scientist? My journey, overview of skill set, practice tips(mljar.com)
12 points by pplonski86 2y ago|4 comments
116.
How to Become a Data Scientist?(mljar.com)
1 points by pplonski86 2y ago|0 comments
117.
by pplonski86 2y ago
I love it. Small data is beautiful :) Many times I heard about people running clusters to analyze datasets that can fit in single machine :)
118.
by pplonski86 2y ago
Congrats on V1. Could you please provide more details behind service? How does it work? What is the most unique feature comparing to other ai search engines?
119.
by pplonski86 2y ago
Congrats on launch. I see many people learning on YouTube, that might be useful tool. Probably you can easily integrate it with LLM and generate summary and quizzes based on videos
120.
by pplonski86 2y ago
I got similar experience. I really prefer switch CUDA version with whole PC machine. What is more, the speed and memory of hardware improves quickly in time as well.

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