Mike's ML Forge – Telegram
Mike's ML Forge
253 subscribers
130 photos
10 videos
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58 links
Welcome to this channel,in this channel, we're diving deep into the world of Data Science and ML Also a bit of my personal journey, becoming a person who says " I designed the board, collected the data, trained the model, and deployed it"
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How do you thank a God like that? I can’t. no tears, no words are enough. His love didn’t just carry me it completely overwhelmed me. Broke me. Remade me. And I wouldn’t have it any other way. I love Him more than I know how to say.
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"አቤቱ አምላኬ ሆይ፥ በልቤ ሁሉ አመሰግንሃለሁ፥ ለዘላለምም ስምህን አከብራለሁ"

መዝሙረ ዳዊት 86:12
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Hey Everyone
Escaped finals and back home, back on the track so lets roll!🙂
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Reporting live from my mom’s kitchen😁
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Just tried Streamlit and wow, it’s fire! In just a few lines of Python, I turned my noscript into a clean, interactive web app.
you gotta check it out.
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Yo, do we have any UFC fans in here or is it just me
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Don’t let anyone tell you who you are. No one, human or AI
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This with friends
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Hey Everyone

It’s been a while since I posted about my journey and stuffs here.

Truth is, I’ve been on and off.
Sometimes I go deep into learning, and other times I just… get stuck.
I try again and again to understand certain ML concepts, but they don’t always click.
It’s frustrating and honestly, it made me doubt myself more than once.

Most people think(so do i) machine learning is just about using libraries or copying code. But here’s the truth a lot of that confusion comes from not really understanding the math behind machine learning
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Most of the stuff we “tune” like learning rate, regularization, or depth are actually based on mathematical principles.
And if you get the math, even at a basic level, things start to make sense.
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That’s where this book comes in:

📘“An Introduction to Statistical Learning with Python” (ISLP)

It literally explains key ML models in a simple, clear way
Shows you the math behind them  but in a way that makes sense
Comes with hands-on Python code
And best of all it’s free

📎 Link: https://www.statlearning.com

I just started using it, and already I feel like I’m finally moving forward again.
If you’ve also been stuck or feeling like you’re not progressing, maybe this can help you too.
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We can learn together, no shame in going slow
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