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amimmad/README.md

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🌌 Mathematics of Optimization

در دنیای یادگیری ماشین، بهینه‌سازی پارامترها از طریق توابع جریمه (Penalty Functions) برای جلوگیری از Overfitting حیاتی است:

$$ \min_{\beta} \left( \frac{1}{2n} \sum_{i=1}^{n} (y_i - X_i \beta)^2 + \lambda_1 \sum_{j=1}^{p} |\beta_j| + \lambda_2 \sum_{j=1}^{p} \beta_j^2 \right) $$

"Beyond the code, lies the elegance of mathematical convergence."


🛠 Comprehensive Tech Stack

Machine Learning & AI Backend & MLOps Frontend & Visualization

🚀 Featured Projects

Project Name Objective Tech Stack Status Access
Churn-Guard Pro Customer Churn Classification FastAPI Streamlit Scikit-Learn Docker Production Repo
Market-Segmentor AI Unsupervised Customer Clustering K-Means PCA Plotly Seaborn Deployed Link
Sentimetra API Real-time NLP Sentiment Analysis NLTK FastAPI TF-IDF Pickle Stable Repo
RealEstate-Pricer Advanced Regression for Housing ElasticNet Feature Engineering XGBoost Beta Repo

🐍 GitHub Contribution Snake

github contribution grid snake animation


📊 GitHub Analytics

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Building scalable intelligence, one model at a time.
© 2024 Amir Mohammad (amimmad)

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