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labuda
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wuwunchik/README.md

Hi there 👋

. Education. - Secondary vocational, Incomplete higher education 2. Additional education. - Took courses at School21 from Sberbank, completed retraining at the Sechenov Central Committee 3. Work experience. - I have experience working in a service center as a developer of a module for an order system on the 1C programming language 4. About myself. - I am interested in areas of programming related to scientific data, with the study of any patterns and extracting benefits for a person from them

💫 About Me:

🔭 Now I am working on myself and my knowledge
👯 I am looking for cooperation on ML projects
🌱 Now I am studying at the Federal State Budgetary Educational Institution of Higher Education "Buryat State University named after Dorzhi Banzarov"

🌐 Socials:

wuwunchik wuwunchik

💻 Tech Stack:

Python Postgres JavaScript HTML5 CSS3 Vue.js Keras Matplotlib NumPy Pandas PyTorch TensorFlow mlflow

📊 GitHub Stats:



🏆 GitHub Trophies

🔝 Top Contributed Repo

PET Projects:

📌 Dogs Breed Classifier

Description: This project leverages deep learning to identify dog breeds from images. Using a convolutional neural network trained on the Stanford Dogs Dataset, the application can classify images of dogs into one of 120 different breeds. The user-friendly interface, built with Streamlit, allows users to upload images and receive breed predictions along with additional information sourced from Wikipedia. This tool is ideal for dog enthusiasts, veterinarians, or anyone interested in identifying dog breeds quickly and accurately.

Stack: Python 3, Streamlit

Project link

📌 Vegetable/Fruit Classifier

Description: This project is a web application for classifying images of fruits and vegetables. It allows you to upload images and get predictions about what class the object in the photo belongs to.

Stack: Python 3, Streamlit, MakeFile

Project link

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