🚨 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

🎉 Big Update from EdueraSkills (EdueraSkills.com)! – Up to 50% OFF 🚀

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Because our true goal has always been to enlighten as many students and people as possible, we’ve decided to take the risk and make our courses even more accessible!

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🔰Machine Learning – from 1000 birr to 550 birr
🔰 Python Libraries (NumPy, Pandas, Matplotlib, Seaborn) – from 800 birr to 400 birr
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#EdueraSkills #SkillUp #Python #MachineLearning #DataScience #Technology #Ethiopia #OnlineLearning