I just implemented my first Logistic Regression model.
I took the dataset from Kaggle, cleaned the data, and trained the model. It's getting more interesting day by day.
https://colab.research.google.com/drive/13kj_sMKNwepo6FgKa_5VcYFGJuOoK9Al?usp=sharing

@R0bstack

When Google can't explain the meme, it just joins in.
Google '67' 😂

@R0bstack

If you want to grow, start by
fixing one tiny friction today.
Your future self will thank you.

Happy Monday, let's crush this week💪🏻

@R0bstack

🚀 Introducing: Codecast App

Codecast is now a full app built for tech-focused podcasts from our community and beyond.

What you can do with Codecast:

🎙 Listen to tech podcasts in one place

👥 Browse podcasts by guest (since one guest may appear on multiple shows)

🎧 Filter episodes by host

🔍 Search episodes easily

⬇️ Download episodes for offline listening

▶️ Supports background play, so you can listen while doing other things

This app was built to solve a real community need, not hype, not noise, just value.

CodeCast app
V.1.1.0

By @software_guy

Why do they want the females 🤔

I've recently open-sourced some of the early models I've been experimenting with while building Addis AI - there are some models with exact training params and training details... along with our amharic tuned whisper models that can actually run on your phone (more on that in the coming weeks)
But feel free on experimenting, seeing how they work and shoot me your feedback.

Everything Is on hugging face https://huggingface.co/b1n1yam

You can use AI on your meta interview 😯

@R0bstack

Things Feel Hard Until You Actually Start

In tech, many things sound difficult long before we ever try them.

Before learning Docker, I already believed it would be complicated
not because I had worked with it, but because of how people talked about it.

Just hearing terms like image, container, and DevOps workflows made it feel heavy.

But once I started learning Docker and using it in a project, it was far more understandable than I expected.

Most of the confusion faded once I stopped listening and started doing.

This isn’t only about Docker.

The same thing happens for other terms.

From the outside, things look overwhelming.
Once you’re inside them, they turn into clear steps you can work through.

The real issue is that many juniors never reach that point.
They stop at the idea of difficulty.

We often hear experienced engineers talk in advanced terms,
and we forget that they also started by not understanding much.

Fear usually comes from: not starting, overthinking, and comparing yourself to people who are further along

So the solution is to start even if things are not clear yet.

If you’re a junior:

don’t let technical language scare you

don’t wait until everything feels clear

start small and learn as you go

You don’t need full clarity to begin.
You gain clarity by starting.

Most projects look difficult
until you sit down and actually work on them.

That’s where learning really happens.

@edemy251

We just released Wikipedia Amharic on Hugging Face – thousands of Wikipedia articles translated to Amharic using our Aleph (፩) model.

It's one of the largest Amharic knowledge bases out there (55k rows). Parallel corpus, full metadata, Apache 2.0 licensed.

Useful for anyone building Amharic NLP models, translation systems, or just needing quality Amharic training data.

https://huggingface.co/datasets/addisai/wikipedia-amharic

Free to use commercially. Attribution appreciated.
#opensource @addisassistantai

What game should I build using Java?

for my OOP project

@R0bstack

Had an amazing time at the Web3 Ethiopia event at AASTU today.
We spent almost 5 hours learning blockchain basics, Web3 career paths, and even created our first MetaMask wallets 🦊
there was fun games at the end, and of course pizza time 🍕 😄
Big shoutout to Web3 Ethiopia and GDG AASTU for making it happen.