And if you think this repo could help you out, use it. Don't forget to Star it 😁

Tomorrow, I will post about linear regression and I will try my best to explain as simple as possible.

For Today lemme leave you with Naval's quote
‎
‎"Desire is a contract with yourself to be happy until you get what you want"

As you all know, it's quite difficult to write mathematical formulas on Telegram. So, I used Google Docs to explain everything in detail. I did my best to cover most of the essential concepts in linear regression.

For today’s post, I’ve focused mainly on the core concepts and mathematical foundation. In the next update, I’ll dive into visualizations, code implementations, and some real-world use cases to make it even more intuitive.

If you don't see the final page GIF. Here's it 👇

If you're going through hell, keep going!

Winston Churchill

New Drop: 25+ Data Science Projects!
‎📊⚡
‎
‎Over the past few months, I’ve been diving deep into both Machine Learning and Data Science.
‎Alongside the 30+ ML projects I shared earlier, I’ve just released 25+ clean, practical Data Science projects — from EDA to real-world case studies.
‎
‎GitHub: https://github.com/benasphy/Data_Science_Projects
‎Live Demo: https://datascienceprojects-lists.streamlit.app
‎
‎✨Don't forget to Star and fork it!!
‎
‎If you want to connect, collab, or just nerd out over ML, Data Science and stuff:
‎TG: @benasphy 💬

Why not whip the teacher when the pupil misbehaves?

Diogenes

Interesting

Congrats Liverpool fans 🏆🏆🏆🔥🔥🔥😎😎

I've been busy with sth lately, gonna post serious stuff from now on. Brace yourself

🚨 Last time we explored Linear Regression — but we skipped the code part. Not anymore!
Here are 3 fun and practical implementations you can try right now 👇

1️⃣ Linear Regression from Scratch (no libraries magic)
📎 https://github.com/benasphy/Linear-Regression/blob/main/Linear_regression_from_scratch.ipynb

2️⃣ Messi's Goal Prediction (yes, I’m a Messi fan 😎 — but feel free to switch to Ronaldo)
📎 https://github.com/benasphy/Linear-Regression/blob/main/Messi's_Goal_Prediction.ipynb

3️⃣ Study Hours vs Exam Score — classic but essential
📎 https://github.com/benasphy/ML_projects/blob/main/Linear_Regression/Linear_regression_projects/study_hours_exam_prediction.py

Check them out and feel free to play with the data! 🔥
#MachineLearning #Python #LinearRegression #MLCode #DataScience

Guys help us by sharing this channel to your friend, so they will see the world of ML and AI💪

🧠💬 Meet ELIZA – The OG AI Therapist from the 60s!

Before ChatGPT, Claude, or Gemini…
Before even Windows or iPhones existed...
There was ELIZA 👵💻

Developed in the 1960s by MIT’s Joseph Weizenbaum, ELIZA was the first chatbot that shocked people by mimicking a psychotherapist. You’d say “I feel sad” and she’d go:

“Why do you feel sad?”

🧠 Mind-blowing at the time. People really thought she understood them.

Sure, she might sound like your grandma playing therapist after 2 cups of tea ☕, but back then this was sci-fi level genius.

Sure, compared to today's LLMs that can write code, explain black holes, or beat you in trivia — ELIZA seems basic...
But she was the spark that started it all.

👉 Try chatting with her here:
🌐 https://www.masswerk.at/eliza/

Ask her questions.
Test her logic.
Mess with her responses.

She’ll still reply like it’s 1966.

You’ll gain a new appreciation for how far we’ve come in AI — and maybe even a good laugh 😂

#AIHistory #ELIZA #ChatbotClassic #ThrowbackTech #LLMroots

This is what I got 😂😂kinda Delulu, but still appreciable

Go on Tell me funniest file name on your PC..