🚀 **ML Zoomcamp 2026 – Midterm Project: Stroke Prediction System**
github.com/IBRHASHEM/ML...
#MLZoomcamp #MachineLearning #Python #XGBoost #Flask #Docker #LearningInPublic
*Disclaimer: This is an educational project and is not intended for clinical diagnosis or medical decision-making.*
github.com/IBRHASHEM/ML...
#MLZoomcamp #MachineLearning #Python #XGBoost #Flask #Docker #LearningInPublic
*Disclaimer: This is an educational project and is not intended for clinical diagnosis or medical decision-making.*
November 9, 2026 at 10:10 PM
🚀 **ML Zoomcamp 2026 – Midterm Project: Stroke Prediction System**
github.com/IBRHASHEM/ML...
#MLZoomcamp #MachineLearning #Python #XGBoost #Flask #Docker #LearningInPublic
*Disclaimer: This is an educational project and is not intended for clinical diagnosis or medical decision-making.*
github.com/IBRHASHEM/ML...
#MLZoomcamp #MachineLearning #Python #XGBoost #Flask #Docker #LearningInPublic
*Disclaimer: This is an educational project and is not intended for clinical diagnosis or medical decision-making.*
Starting my React journey!
Exploring components, props, state, hooks, and everything that makes React tick.
Time to turn concepts into actual projects.
#ReactJS #LearningInPublic
Exploring components, props, state, hooks, and everything that makes React tick.
Time to turn concepts into actual projects.
#ReactJS #LearningInPublic
November 6, 2026 at 6:02 PM
Starting my React journey!
Exploring components, props, state, hooks, and everything that makes React tick.
Time to turn concepts into actual projects.
#ReactJS #LearningInPublic
Exploring components, props, state, hooks, and everything that makes React tick.
Time to turn concepts into actual projects.
#ReactJS #LearningInPublic
I’ve come up with some mcp discoveries while studying it and as a result you get an mcp chatbot to interact with.
you can find it here: github.com/vulgofoobar/...
additionally, I'm still available for hire. let's talk!
#ai #mcp #devlife #learninginpublic
you can find it here: github.com/vulgofoobar/...
additionally, I'm still available for hire. let's talk!
#ai #mcp #devlife #learninginpublic
GitHub - vulgofoobar/mcp-chatbot
Contribute to vulgofoobar/mcp-chatbot development by creating an account on GitHub.
github.com
November 5, 2026 at 11:14 PM
I’ve come up with some mcp discoveries while studying it and as a result you get an mcp chatbot to interact with.
you can find it here: github.com/vulgofoobar/...
additionally, I'm still available for hire. let's talk!
#ai #mcp #devlife #learninginpublic
you can find it here: github.com/vulgofoobar/...
additionally, I'm still available for hire. let's talk!
#ai #mcp #devlife #learninginpublic
So we're pausing it and leaving the hoodie plain for now. We'd rather wait than add something that doesn't fit.
Have you ever put a logo on a character's clothes and made it feel natural? What worked for you?
#WorkSmarterClub #LearningInPublic #BuildInPublic
Have you ever put a logo on a character's clothes and made it feel natural? What worked for you?
#WorkSmarterClub #LearningInPublic #BuildInPublic
November 5, 2026 at 9:48 PM
So we're pausing it and leaving the hoodie plain for now. We'd rather wait than add something that doesn't fit.
Have you ever put a logo on a character's clothes and made it feel natural? What worked for you?
#WorkSmarterClub #LearningInPublic #BuildInPublic
Have you ever put a logo on a character's clothes and made it feel natural? What worked for you?
#WorkSmarterClub #LearningInPublic #BuildInPublic
I created my first XGBoost DMatrix for training and validation data. It provides XGBoost with an optimized data structure for model training and evaluation.
#MLZoomcamp #XGBoost #LearningInPublic
#MLZoomcamp #XGBoost #LearningInPublic
November 2, 2026 at 8:24 PM
I created my first XGBoost DMatrix for training and validation data. It provides XGBoost with an optimized data structure for model training and evaluation.
#MLZoomcamp #XGBoost #LearningInPublic
#MLZoomcamp #XGBoost #LearningInPublic
I tested Random Forests with 10, 50, 100 and 150 trees today. More trees improved validation performance, but the gains eventually became very small.
#MLZoomcamp #RandomForest #LearningInPublic
#MLZoomcamp #RandomForest #LearningInPublic
November 2, 2026 at 8:23 PM
I tested Random Forests with 10, 50, 100 and 150 trees today. More trees improved validation performance, but the gains eventually became very small.
#MLZoomcamp #RandomForest #LearningInPublic
#MLZoomcamp #RandomForest #LearningInPublic
♻️ Repost for someone trying to break into AI without a degree.
🔖 Save this as your switching roadmap.
#CareerSwitch #AINews #DataScience #Upskilling #TechCareers #LearningInPublic #ByteBuilders
🔖 Save this as your switching roadmap.
#CareerSwitch #AINews #DataScience #Upskilling #TechCareers #LearningInPublic #ByteBuilders
November 2, 2026 at 2:07 AM
♻️ Repost for someone trying to break into AI without a degree.
🔖 Save this as your switching roadmap.
#CareerSwitch #AINews #DataScience #Upskilling #TechCareers #LearningInPublic #ByteBuilders
🔖 Save this as your switching roadmap.
#CareerSwitch #AINews #DataScience #Upskilling #TechCareers #LearningInPublic #ByteBuilders
I explored `feature_importances_` in Random Forest. It helped me see which features contributed most to the model's tree splits instead of treating the model as a complete black box.
#MLZoomcamp #RandomForest #LearningInPublic
#MLZoomcamp #RandomForest #LearningInPublic
November 2, 2026 at 12:59 PM
I explored `feature_importances_` in Random Forest. It helped me see which features contributed most to the model's tree splits instead of treating the model as a complete black box.
#MLZoomcamp #RandomForest #LearningInPublic
#MLZoomcamp #RandomForest #LearningInPublic
I learned how a Decision Tree chooses a feature and threshold to split the data. Even a tree with max_depth=1 can show which feature creates the most useful first split.
#MLZoomcamp #MachineLearning #LearningInPublic
#MLZoomcamp #MachineLearning #LearningInPublic
November 2, 2026 at 12:58 PM
I learned how a Decision Tree chooses a feature and threshold to split the data. Even a tree with max_depth=1 can show which feature creates the most useful first split.
#MLZoomcamp #MachineLearning #LearningInPublic
#MLZoomcamp #MachineLearning #LearningInPublic
I learned how uv helps create a reproducible Python environment. Using uv sync --locked ensures the project uses the exact dependency versions defined in the lockfile.
#MLZoomcamp #Python #LearningInPublic
#MLZoomcamp #Python #LearningInPublic
October 26, 2026 at 12:53 PM
I learned how uv helps create a reproducible Python environment. Using uv sync --locked ensures the project uses the exact dependency versions defined in the lockfile.
#MLZoomcamp #Python #LearningInPublic
#MLZoomcamp #Python #LearningInPublic
I learned why an ML API can have a /health endpoint. It lets us verify that the service is running and can also confirm which model artifact is being served.
#MLOps #MLZoomcamp #LearningInPublic
#MLOps #MLZoomcamp #LearningInPublic
October 26, 2026 at 12:55 PM
I learned why an ML API can have a /health endpoint. It lets us verify that the service is running and can also confirm which model artifact is being served.
#MLOps #MLZoomcamp #LearningInPublic
#MLOps #MLZoomcamp #LearningInPublic
A working note from Bluewater Bound: Aye, Aye: We Are Not Sorry Sailors. A reflection on what aye and aye, aye mean aboard a vessel—and why sailors…
Join the journey before the boat, the refit, and the offshore miles.
#LearningInPublic #SailingEducation
https://bluewaterbound.org/s/8cc4ccba
Join the journey before the boat, the refit, and the offshore miles.
#LearningInPublic #SailingEducation
https://bluewaterbound.org/s/8cc4ccba
Aye, Aye: We Are Not Sorry Sailors
Aye, Aye: We Are Not Sorry Sailors
bluewaterbound.org
October 23, 2026 at 4:35 PM
A working note from Bluewater Bound: Aye, Aye: We Are Not Sorry Sailors. A reflection on what aye and aye, aye mean aboard a vessel—and why sailors…
Join the journey before the boat, the refit, and the offshore miles.
#LearningInPublic #SailingEducation
https://bluewaterbound.org/s/8cc4ccba
Join the journey before the boat, the refit, and the offshore miles.
#LearningInPublic #SailingEducation
https://bluewaterbound.org/s/8cc4ccba
#CreativePractice #MakeEveryday #LearningInPublic #ShowUpAnyway
October 20, 2026 at 9:52 PM
#CreativePractice #MakeEveryday #LearningInPublic #ShowUpAnyway
The road so far: Phases 1–11 of MT24 Learning, 35 of 90 sprints, drawn as a transit map. Each stop carries one checked result and shows which earlier phases it builds on. Ten phases have DOIs; Phase 11's is coming soon. #MT24Learning #LearningInPublic #OpenScience
October 20, 2026 at 1:22 PM
The road so far: Phases 1–11 of MT24 Learning, 35 of 90 sprints, drawn as a transit map. Each stop carries one checked result and shows which earlier phases it builds on. Ten phases have DOIs; Phase 11's is coming soon. #MT24Learning #LearningInPublic #OpenScience
Day 100/100 of #100DaysWithAI 🏁
Day 1 was a decade of agents. Day 100 goes back to the prompt: be clear, let it think out loud, give it an out.
🔗 https://github.com/aurimas13/100-Days-With-AI
#LearningInPublic #PromptEngineering
🤝 Claude Code-assisted, reviewed by me.
Day 1 was a decade of agents. Day 100 goes back to the prompt: be clear, let it think out loud, give it an out.
🔗 https://github.com/aurimas13/100-Days-With-AI
#LearningInPublic #PromptEngineering
🤝 Claude Code-assisted, reviewed by me.
October 19, 2026 at 3:50 AM
Day 100/100 of #100DaysWithAI 🏁
Day 1 was a decade of agents. Day 100 goes back to the prompt: be clear, let it think out loud, give it an out.
🔗 https://github.com/aurimas13/100-Days-With-AI
#LearningInPublic #PromptEngineering
🤝 Claude Code-assisted, reviewed by me.
Day 1 was a decade of agents. Day 100 goes back to the prompt: be clear, let it think out loud, give it an out.
🔗 https://github.com/aurimas13/100-Days-With-AI
#LearningInPublic #PromptEngineering
🤝 Claude Code-assisted, reviewed by me.
Day 99/100 of #100DaysWithAI 🧩
Next-Concept Modeling writes text like a sketch: gist first, then detail, each level in parallel. 21× faster than diffusion on LM1B.
🔗 https://github.com/aurimas13/100-Days-With-AI
#LearningInPublic #DeepLearning
🤝 Claude Code-assisted, reviewed by me.
Next-Concept Modeling writes text like a sketch: gist first, then detail, each level in parallel. 21× faster than diffusion on LM1B.
🔗 https://github.com/aurimas13/100-Days-With-AI
#LearningInPublic #DeepLearning
🤝 Claude Code-assisted, reviewed by me.
October 18, 2026 at 3:50 AM
Day 99/100 of #100DaysWithAI 🧩
Next-Concept Modeling writes text like a sketch: gist first, then detail, each level in parallel. 21× faster than diffusion on LM1B.
🔗 https://github.com/aurimas13/100-Days-With-AI
#LearningInPublic #DeepLearning
🤝 Claude Code-assisted, reviewed by me.
Next-Concept Modeling writes text like a sketch: gist first, then detail, each level in parallel. 21× faster than diffusion on LM1B.
🔗 https://github.com/aurimas13/100-Days-With-AI
#LearningInPublic #DeepLearning
🤝 Claude Code-assisted, reviewed by me.
Day 98/100 of #100DaysWithAI 🌿
Anthropic went from 2,500 to 30,000 merges a day and outgrew git. Its answer, Scion: always-online clients, commits on the server.
🔗 https://github.com/aurimas13/100-Days-With-AI
#LearningInPublic #DevOps
🤝 Claude Code-assisted, reviewed by me.
Anthropic went from 2,500 to 30,000 merges a day and outgrew git. Its answer, Scion: always-online clients, commits on the server.
🔗 https://github.com/aurimas13/100-Days-With-AI
#LearningInPublic #DevOps
🤝 Claude Code-assisted, reviewed by me.
October 17, 2026 at 6:23 AM
Day 98/100 of #100DaysWithAI 🌿
Anthropic went from 2,500 to 30,000 merges a day and outgrew git. Its answer, Scion: always-online clients, commits on the server.
🔗 https://github.com/aurimas13/100-Days-With-AI
#LearningInPublic #DevOps
🤝 Claude Code-assisted, reviewed by me.
Anthropic went from 2,500 to 30,000 merges a day and outgrew git. Its answer, Scion: always-online clients, commits on the server.
🔗 https://github.com/aurimas13/100-Days-With-AI
#LearningInPublic #DevOps
🤝 Claude Code-assisted, reviewed by me.
Ergebnis Creative Composing: Platz 207 (79 von 115 Punkten). Alle Bilder angenommen, aber meine Favoriten landeten bei der Jury ganz unten. 📉
Die Analyse dazu und alle Bilder im Blog:
#Fotografie #Wettbewerb #LearningInPublic
Die Analyse dazu und alle Bilder im Blog:
#Fotografie #Wettbewerb #LearningInPublic
October 16, 2026 at 5:14 PM
Ergebnis Creative Composing: Platz 207 (79 von 115 Punkten). Alle Bilder angenommen, aber meine Favoriten landeten bei der Jury ganz unten. 📉
Die Analyse dazu und alle Bilder im Blog:
#Fotografie #Wettbewerb #LearningInPublic
Die Analyse dazu und alle Bilder im Blog:
#Fotografie #Wettbewerb #LearningInPublic
Day 97/100 of #100DaysWithAI 🖥️
Claude Code without a terminal: the desktop Code tab runs a session locally, in the cloud or over SSH, and shows each change as a diff.
🔗 https://github.com/aurimas13/100-Days-With-AI
#LearningInPublic #AgenticAI
🤝 Claude Code-assisted, reviewed by me.
Claude Code without a terminal: the desktop Code tab runs a session locally, in the cloud or over SSH, and shows each change as a diff.
🔗 https://github.com/aurimas13/100-Days-With-AI
#LearningInPublic #AgenticAI
🤝 Claude Code-assisted, reviewed by me.
October 16, 2026 at 5:15 AM
Day 97/100 of #100DaysWithAI 🖥️
Claude Code without a terminal: the desktop Code tab runs a session locally, in the cloud or over SSH, and shows each change as a diff.
🔗 https://github.com/aurimas13/100-Days-With-AI
#LearningInPublic #AgenticAI
🤝 Claude Code-assisted, reviewed by me.
Claude Code without a terminal: the desktop Code tab runs a session locally, in the cloud or over SSH, and shows each change as a diff.
🔗 https://github.com/aurimas13/100-Days-With-AI
#LearningInPublic #AgenticAI
🤝 Claude Code-assisted, reviewed by me.
Day 96/100 of #100DaysWithAI 🧰
Yesterday: agent = model + harness. Today, Anthropic's quickstart that hosts the harness: agent, environment, session, events.
🔗 https://github.com/aurimas13/100-Days-With-AI
#LearningInPublic #AgenticAI
🤝 Claude Code-assisted, reviewed by me.
Yesterday: agent = model + harness. Today, Anthropic's quickstart that hosts the harness: agent, environment, session, events.
🔗 https://github.com/aurimas13/100-Days-With-AI
#LearningInPublic #AgenticAI
🤝 Claude Code-assisted, reviewed by me.
October 15, 2026 at 5:07 AM
Day 96/100 of #100DaysWithAI 🧰
Yesterday: agent = model + harness. Today, Anthropic's quickstart that hosts the harness: agent, environment, session, events.
🔗 https://github.com/aurimas13/100-Days-With-AI
#LearningInPublic #AgenticAI
🤝 Claude Code-assisted, reviewed by me.
Yesterday: agent = model + harness. Today, Anthropic's quickstart that hosts the harness: agent, environment, session, events.
🔗 https://github.com/aurimas13/100-Days-With-AI
#LearningInPublic #AgenticAI
🤝 Claude Code-assisted, reviewed by me.
Day 95/100 of #100DaysWithAI 🐎
11 coding-agent harnesses, ~4M lines of source: none imports an agent framework, none retrieves code with embeddings. They grep.
🔗 https://github.com/aurimas13/100-Days-With-AI
#LearningInPublic #AgenticAI
🤝 Claude Code-assisted, reviewed by me.
11 coding-agent harnesses, ~4M lines of source: none imports an agent framework, none retrieves code with embeddings. They grep.
🔗 https://github.com/aurimas13/100-Days-With-AI
#LearningInPublic #AgenticAI
🤝 Claude Code-assisted, reviewed by me.
October 14, 2026 at 4:38 AM
Day 95/100 of #100DaysWithAI 🐎
11 coding-agent harnesses, ~4M lines of source: none imports an agent framework, none retrieves code with embeddings. They grep.
🔗 https://github.com/aurimas13/100-Days-With-AI
#LearningInPublic #AgenticAI
🤝 Claude Code-assisted, reviewed by me.
11 coding-agent harnesses, ~4M lines of source: none imports an agent framework, none retrieves code with embeddings. They grep.
🔗 https://github.com/aurimas13/100-Days-With-AI
#LearningInPublic #AgenticAI
🤝 Claude Code-assisted, reviewed by me.
Learned about Mutual Information today. It gives us another way to understand how useful a categorical variable may be for predicting a target.
#mlzoomcamp #LearningInPublic
#mlzoomcamp #LearningInPublic
October 12, 2026 at 9:21 PM
Learned about Mutual Information today. It gives us another way to understand how useful a categorical variable may be for predicting a target.
#mlzoomcamp #LearningInPublic
#mlzoomcamp #LearningInPublic
Today I learned about Mutual Information and used it to see which categorical feature contains the most information about the target variable.
#mlzoomcamp #LearningInPublic
#mlzoomcamp #LearningInPublic
October 12, 2026 at 7:35 PM
Today I learned about Mutual Information and used it to see which categorical feature contains the most information about the target variable.
#mlzoomcamp #LearningInPublic
#mlzoomcamp #LearningInPublic
Today I tested different regularization settings for Logistic Regression and compared their validation accuracy. Small parameter changes can lead to different model performance.
#mlzoomcamp #DataScience #LearningInPublic
#mlzoomcamp #DataScience #LearningInPublic
October 12, 2026 at 9:21 PM
Today I tested different regularization settings for Logistic Regression and compared their validation accuracy. Small parameter changes can lead to different model performance.
#mlzoomcamp #DataScience #LearningInPublic
#mlzoomcamp #DataScience #LearningInPublic
Finished another #mlzoomcamp homework! 🎉 This time I practiced correlation, mutual information, one-hot encoding, logistic regression, accuracy, feature elimination, and regularization.
#MachineLearning #LearningInPublic
#MachineLearning #LearningInPublic
October 12, 2026 at 7:36 PM
Finished another #mlzoomcamp homework! 🎉 This time I practiced correlation, mutual information, one-hot encoding, logistic regression, accuracy, feature elimination, and regularization.
#MachineLearning #LearningInPublic
#MachineLearning #LearningInPublic