Using Using voting classifier as the final model to predict water potability.
-
Updated
Oct 17, 2022 - Jupyter Notebook
#
water-potability
Here are 5 public repositories matching this topic...
Prediction of water potability with parameters like ph, hardness, turbidity etc.
-
Updated
May 15, 2021 - Jupyter Notebook
Project ini bertujuan untuk membandingkan algoritma SVM sebelum dan sesudah dilakukan forward selection sebagai seleksi fitur untuk memprediksi kualitas air. Dataset yang digunakan berasal dari kaggle, Pada dataset tersebut terdapat 10 atribut yang terdiri dari 9 atribut ciri dan 1 atribut label, 9 atribut bebas diantaranya ph, hardness, solids,…
python
data-science
machine-learning
support-vector-machine
pyth
forward-selection
klasifikasi
water-potability
kualitas-air
-
Updated
Aug 17, 2022 - Jupyter Notebook
ML model deployment using docker, kubernetes; API deployment with FastAPI; and MLOps using MLFlow for water potability dataset
machine-learning
docker-deployment
water-quality
kubernetes-deployment
mlflow
scikit-learn-python
machine-learning-model
fastapi-docker
mlflow-sklearn
machine-learning-model-deployment
mlflow-model
machine-learning-model-management
water-potability
-
Updated
Mar 1, 2024 - Python
Spigot is a machine learning project to see whether a sample of water is potable or not, based on specific features
-
Updated
Feb 7, 2023 - Jupyter Notebook
Improve this page
Add a description, image, and links to the water-potability topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the water-potability topic, visit your repo's landing page and select "manage topics."