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Stars and mentions · Last 30 days, Oct 12 – Nov 10
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Mentions
Compared tree ensembles in Module 6 of #mlzoomcamp. 🌳 Decision tree 🌲 Random forest ⚡ XGBoost 📉 Tuned the validation RMSE My repo: github.com/ashuzzz151/machine-learning-zoomcamp-h… t.co
Compared tree ensembles in Module 6 of #mlzoomcamp. 🌳 Decision tree 🌲 Random forest ⚡ XGBoost 📉 Tuned the validation RMSE
🚀 Completed Module 4 of Machine Learning Zoomcamp 2026! I evaluated a classifier with ROC AUC, precision, recall, and F1, then used cross-validation to measure score variation and tune a parameter. My repo: github.com/ashuzzz151/machine-learning-zoomcamp-h… #mlzoomcamp @Alexey Grigorev
🚀 Completed Module 5 of Machine Learning Zoomcamp 2026! I packaged a frozen ML model behind a FastAPI service, checked its response, and ran the same prediction through a reproducible Docker container. My repo: github.com/ashuzzz151/machine-learning-zoomcamp-h… #mlzoomcamp @Al_Grigor t.co
Deployed ML model Packaged an ML model as an API in Module 5 of #mlzoomcamp. ✅ Checked the pinned model artifact ✅ Served predictions with FastAPI ✅ Built and tested the Docker image My repo: github.com/ashuzzz151/machine-learning-zoomcamp-h…
🚀 Completed Module 3 of Machine Learning Zoomcamp 2026! I built a lead-scoring classifier and learned how mutual information, one-hot encoding, feature elimination, and regularization affect logistic regression. My repo: ashuzzz151/machine-learning-zoomcamp-homework #mlzoomcamp @Alexey Grigorev
Built a lead-scoring classifier in Module 3 of #mlzoomcamp. ✅ Compared categorical features with mutual information ✅ Trained logistic regression with one-hot encoding ✅ Tested feature removal and regularization My repo: ashuzzz151/machine-learning-zoomcamp-homework