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About Me

const Wine = {
  firstName: "Phanthakarn",
  lastName: "Kiatphaisansophon",
  nickname: "Wine",
  age: 22,
  education: {
             highschool: "PCSHSNST-22",
             college: "Software and Knowledge-16, Kasetsart University-78",
             },
  currently: "Studying about Docker, Kubernetes, FastAPI, and Locust",
  internship: "SCG Chemicals: Rayong Province",
  work: {
        company: "AppMan co. ltd",
        position: "Machine Learning Engineer",
        workPlace: "Bangkok, Thailand"
        }
}

Languages and Tools

My Status

wodwine's github stats

1

What I am doing now

  • šŸ”­ Iā€™m currently working on the online course: "Complete SQL and Databases Bootcamp: Zero to Mastery [2021]"
  • šŸŒ± Iā€™m currently learning: Database Management
  • šŸ“« How to reach me: IG-wineptk, FB-Panthakarn Kiatpaisansophon
  • āš” Fun fact: I like to study about what I like

Phanthakan Kiatpaisansophon's Projects

apparel-classification icon apparel-classification

This model is built with CNN. This model can be able to classify the image to T-shirt, Dress, Shirt, Skirt, Pants, Shorts

apparel-classification-mnist icon apparel-classification-mnist

This model is built with CNN. This model can be able to classify the image to T-shirt/top, Trouser, Pullover, Dress, Coat, Sandal, Shirt, Sneaker, Bag, Ankle boot.

dog-breed-classification icon dog-breed-classification

This is a model for users to be able to use to classify which breed his/her dog is. This model is built with Keras in Tensorflow and trained with 20000 dog images.

exceed icon exceed

My project of Exceed Camp in Computer Engineering at Kasetsart University

hamburgq icon hamburgq

My final project of ISP(Individual Software Process)

kaggle-projects icon kaggle-projects

This repo is about Machine Learning model. The dataset is from Kaggle.com

pokemon-classification icon pokemon-classification

This is a model for classifying which pokemon it is. This model is built with Keras in Tensorflow and trained with 10000+ pokemon images. See more details in README

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