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Interactive movie recommendation system based on rating scores
Jupyter Notebook 94.46%
Python 5.54%
movie-recommendation's Introduction
Hi there, I'm Thakorn Swaengkit (Eyp)
- ๐จ๐ปโ๐ป An AI/ML Engineer with experience in software development, machine learning, computer vision, and reinforcement learning.
- ๐ A BSc graduate in Robotics & AI Engineering from Chulalongkorn University.
- ๐ An awarded developer from Super AI Engineer Season 1 (2020).
- ๐ซ An exchange student at Indiana, USA (OEG21: 2014-2015).
- ๐ฑ Passionate about Climate Tech and solutions that tackle Climate Change.
You can contact me on
- Programming Languages:
Python
Java
Javascript
Typescript
- Frontend Development:
ReactJS
NextJS
- Backend Development:
Django
Flask
- IoT Development:
Volttron
Matlab
Arduino
- Machine Learning:
Pytorch
Scikit-learn
Stable-baselines3
- Data Science:
Dash
Plotly
Pandas
Numpy
OpenCV
- Tools and Deployment:
Git
DVC
Weights & Biases
Docker
SystemD
AzureStack
NvidiaStack
Machine Learning Projects
Software Development and IoT Projects
ย ย
movie-recommendation's People
Contributors
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movie-recommendation's Issues
Interactive movie recommendation pipeline feature
- User can interact with the software and rate more movies
- The software will recommend more movies based on the model prediction values and user's rating scores on each specific movie