https://github.com/dataprofessor/ml-opt-app
Machine Learning Hyperparameter Optimizer App (Streamlit + Scikit-learn + Python)
https://github.com/dataprofessor/ml-opt-app
Last synced: about 1 year ago
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Machine Learning Hyperparameter Optimizer App (Streamlit + Scikit-learn + Python)
- Host: GitHub
- URL: https://github.com/dataprofessor/ml-opt-app
- Owner: dataprofessor
- Created: 2021-01-03T11:56:48.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2021-11-29T09:42:31.000Z (over 4 years ago)
- Last Synced: 2025-04-05T07:41:34.635Z (over 1 year ago)
- Language: Python
- Size: 15.6 KB
- Stars: 20
- Watchers: 2
- Forks: 13
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# ml-opt-app
# Watch the tutorial video
[How to Build a Machine Learning Hyperparameter Optimization App | Streamlit #14](https://youtu.be/HT2WHLgYpxY)
# Demo
Launch the web app:
[](https://share.streamlit.io/dataprofessor/ml-opt-app/main/ml-opt-app.py)
# Reproducing this web app
To recreate this web app on your own computer, do the following.
### Create conda environment
Firstly, we will create a conda environment called *mlopt*
```
conda create -n mlopt python=3.7.9
```
Secondly, we will login to the *mlopt* environement
```
conda activate mlopt
```
### Install prerequisite libraries
Download requirements.txt file
```
wget https://raw.githubusercontent.com/dataprofessor/ml-opt-app/main/requirements.txt
```
Pip install libraries
```
pip install -r requirements.txt
```
### Download and unzip contents from GitHub repo
Download and unzip contents from https://github.com/dataprofessor/ml-opt-app/archive/main.zip
### Launch the app
```
streamlit run app.py
```