1. Anthropic
2. Gemini
3. OpenAI
4. Grok https://t.co/pFKPlYoT2Y
>Today’s learning:
• Python operators, loops, and problem solving
• Practical coding in Colab
• Random Forest working & intuition
• Bias–Variance trade-off in ensembles
• How multiple trees improve prediction. https://t.co/JiBOdFdpTV
>Restarted with fresh mindset to build stronger foundation
• Bagging Regressor practical understanding
• Python fundamentals
• Random Forest
• Decision trees
• How multiple models improve stability
Sometimes going back to basics is the best way forward https://t.co/ho18hVkzg0
Today’s learning felt powerful.
✔ Bagging Regressor
✔ Random Forest – intuition finally clicked
✔ Python basics: functions, variables, datatypes, keywords
ML is not magic.
It’s just smart ideas + practice.
»One concept at a time
#MachineLearning #Python https://t.co/yrahf0dqDk
more context window with outstanding capabilities (Imo they gave a real fight to opus 4.5) and low price range which every user wants !!
what do you think?? https://t.co/4430EYnNPH
https://t.co/9cMhyRe543
>Today’s focus:
• Bagging
• Bootstrap sampling (with replacement)
• Bagging Classifier (implementation)
• Hyperparameter tuning in bagging
• How bagging helps reduce variance
Understanding how multiple weak models can come together to build a stronger one https://t.co/NiVFxSgkdq
>Continued learning after exams.
>Today’s focus:
• Voting Ensemble – core idea & intuition
• Hard Voting vs Soft Voting
• Voting Classifier (implementation)
• Voting Regressor (practical example)
• Comparing individual models vs ensemble performance. https://t.co/qsFudAGvee
Be honest 👀 https://t.co/u0dBnOIOvk
>Back to learning after exams.
>Today’s focus:
• Ensemble Learning – intuition & benefits
• Bias–Variance tradeoff
• Why combining models improves performance
• Robustness in predictions
>Slowly rebuilding momentum. https://t.co/DNqtQt8RtY
Interviewer: Explain the difference between prompt engineering and fine-tuning.
A thread 🧵
AI enthusiast: tracking global tech trends, dissecting AI thought, exploring transformative impacts, analyzing ethical shifts, innovation, and future visions.
Teen developer passionate about AI & Python 🐍 | Building AI agents & web solutions | DM to collaborate
Sr. Software Engineer · Technical Writer · Sharing stories on tech, life, and everything in between
19, Learning how machines learn by applying maths. ( https://t.co/j7Jd8IivHG )
Software Engineer | ML & AI | Building SUMMARA in public. https://t.co/7Vovgsxvc5
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