skappal7 / PyCaret-Gradio-Prediction-App
This app is created using PyCaret low code machine learning library and Gradio an open source and easy-to-use UI for your ML model, function, or API with only a few lines of code. Integrate directly into your Python notebook, or share a link with anyone.
☆12Updated 3 years ago
Related projects: ⓘ
- Implementation of language model papers along with several examples [NOT ALL WRITTEN FROM SCRATCH].☆12Updated 8 months ago
- Tensorflow object detection api in single line☆12Updated 2 years ago
- Computer Vision Papers of the week☆17Updated last year
- Creating a Gradio user interface to predict the sentiment of a tweet☆12Updated 2 years ago
- Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related☆56Updated 3 years ago
- ☆20Updated 8 months ago
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.☆63Updated 7 months ago
- Kubeflow installation on windows 10/11☆16Updated last year
- Iowa House Prices Kaggle (top 5%)☆13Updated 3 months ago
- This repository is to host template for calculating ROI on Artificial Intelligence projects☆43Updated 5 years ago
- This workshop was done as a part of the 1729 conference organized by Fractal Analytics and Analytics Vidhya. Key content covered was hand…☆21Updated 2 years ago
- Create a local dashboard to visualize and filter your GitHub feed☆29Updated 2 years ago
- Use Multiple Linear Regression, Python, Pandas, and Matplotlib to analyze the lifetime value and the key factors of the ‘Telco Customer C…☆10Updated 4 years ago
- This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded …☆25Updated 2 years ago
- Deploying Models to Production with Mlflow and AWS Sagemaker☆23Updated 3 years ago
- Collection of python scripts to demonstrate asynchronous programming in python☆11Updated 2 years ago
- Demo on how to use Prefect with Docker☆26Updated 2 years ago
- ☆12Updated 3 years ago
- ☆21Updated last year
- ☆16Updated this week
- Dash web app showing when an engine is expected to fail powered by vaex and tf/keras.☆15Updated 3 years ago
- An end-to-end project on customer segmentation☆80Updated last year
- Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…☆59Updated last year
- ☆33Updated 2 years ago
- Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking☆54Updated 2 years ago
- Projects completed under LinuxWorld Informatics Ltd. - MLOps Training.☆12Updated 4 years ago
- Building simple ML apps with Streamlit☆24Updated 3 years ago
- A repository containing data and files for my stories on Medium.com.☆53Updated this week
- Analysis for Customer Segmentation☆64Updated 4 years ago
- Python library to run streamlit, flask, fastapi, etc on google colab.☆30Updated last year