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Deploying an end-to-end ml/dl model (for predicting maintaince for aircrafts by using dataset provided by NASA) into cloud server using Flask and Docker with CI/CD pipeline

License: GNU General Public License v3.0

Dockerfile 0.24% Python 10.01% Jupyter Notebook 28.03% CSS 56.94% JavaScript 0.33% HTML 4.45%
api deep-learning flask machine-learning mlops mlops-workflow python docker dvc mlflow

maintenance-prediction-via-mlops's Introduction

💫 About Me:

👋 Hi, I’m @Chaitanyarai899
- 👀 I’m interested in Backend Development, DSA, Web Development, Machine Learning, Deep Learning and Data Science.
- 💞️ I’m looking to collaborate on open source projects that will boost my skills and help me contribute to the open source ecosystem.
- 📫 Reach me at [email protected]

🌐 Socials:

LinkedIn X YouTube

💻 Tech Stack:

Python Shell Script PHP TypeScript Markdown JavaScript HTML5 CSS3 PowerShell Ruby Java AWS Azure Google Cloud Vercel GithubPages Render PythonAnywhere Apache Spark Apache Kafka Django Flask FastAPI JWT Laravel Nodemon NodeJS Next JS NPM OpenCV PNPM Poetry React Rails React Query React Router Socket.io SASS Stylus TailwindCSS Vite Vue.js Yarn Nginx Gunicorn Firebase Postgres Supabase SQLite MongoDB MySQL Keras Matplotlib NumPy Pandas PyTorch scikit-learn TensorFlow GitHub Actions Git

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