
Bibek Karki
@kbibek448
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Joined July 2022
Using LLaMA 3.3, Phidata, and yFinance, Iβve built a finance agent that analyzes Tesla and Google stock data, providing insightful analysis and predictions. #AI #MachineLearning #Finance #StockAnalysis #LLaMA #yFinance #Phidata #GenerativeAI #TechInnovation
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Day 100: Starting a Generative AI tutorial video series! π₯ It's been an incredible journey of learning and growing through these challenges. While I might not continue daily challenges for now, I'll keep learning, exploring, and sharing updates here. πβ¨ #GenerativeAI
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Day 99: Took my first steps into Docker! π³ Learned the basics and explored its importance in AI/ML projects. Docker makes it super easy to create consistent environments, share reproducible experiments, and deploy models seamlessly across platforms. π #Docker #MachineLearning
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Day 98: Did a quick revision on Postman for API testing. π οΈ Itβs such a handy tool for testing and debugging APIs. #Postman #APITesting.
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Day 97: Spent the day revisiting Flask to brush up on my basics. π It's always good to reinforce the foundation, especially for building web applications. #Flask #WebDevelopment
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Day 96: Explored GitHub Actions for the first time! π It felt a bit challenging since many things were new, but it's exciting to dive into automation. Looking forward to learning more and mastering it! #GitHubActions #DevOps #MLOPS #ElonMusk
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Day 94: Explored MLflow for experiment tracking and model management. Itβs a game-changer for organizing ML projects and tracking results efficiently. ππ #MachineLearning #MLflow #Anthropic
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Day 93: Revisited types of ML based on learning styles: supervised, unsupervised, semi-supervised, and reinforcement learning along with offline/online learning and instance/model-based methods. ππ‘ Gaining deeper clarity on various approaches! #MachineLearning #MLBasics
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Day 91: Focused on EDA by revising single-variable, multi-variable analysis, and simplifying the process with Pandas Profiler. π οΈ Getting those insights faster and easier! #EDA #DataScience #Python
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Day 90: Continued with ML fundamentals by revisiting data visualization using Matplotlib and Seaborn. ππ¨ Clear visuals make data insights pop! #DataViz #DataScience #LearningJourney
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Day 89: Planned to dive into tools like Docker and MLflow but decided to strengthen my ML fundamentals instead. Focused on revising data manipulation with Pandas and NumPy today. ππΌ #BackToBasics #DataScience #Python
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Day 88: Created a medical image analysis app using Streamlit and Gemini API! π©ΊπΈ Upload an image, and itβll analyze for potential issues and suggest solutions. Empowering healthcare with AI! π. #AI #MedicalAI #Streamlit #GeminiAPI
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Day 87: Built a calorie counter app using Streamlit and Gemini API! ππΈ Now, just upload a food image, and itβll estimate the calorie count. Making healthy choices easier with AI! π. #AI #CalorieCounter #Streamlit #GeminiAPI
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Day 86: Deployed my image caption generator on Hugging Face Spaces! π Now it's live and ready for everyone to try. Upload an image, pick a mood, and get instant AI-generated captions! π.#AI #HuggingFace #ImageCaptioning #Anthropic #Apple #JavaScript
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