AutoViML/Auto_ViML
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
This tool helps data professionals quickly build and compare multiple machine learning models. You provide a dataset, and it automatically cleans data, selects important features, and trains various models to predict outcomes. The output is a high-performing model and a submission file with predictions, ideal for data scientists, analysts, or anyone who needs to quickly extract insights from complex data without extensive manual setup.
545 stars. No commits in the last 6 months.
Use this if you need to rapidly develop, interpret, and deploy machine learning models from raw data, even with messy or imbalanced datasets, to get quick predictions or insights.
Not ideal if you require deep, manual control over every step of the model building process or need to implement highly customized, experimental algorithms.
Stars
545
Forks
104
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 30, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/AutoViML/Auto_ViML"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
process-intelligence-solutions/pm4py
Official public repository for PM4Py (Process Mining for Python) — an open-source library for...
autogluon/autogluon
Fast and Accurate ML in 3 Lines of Code
microsoft/FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
shankarpandala/lazypredict
Lazy Predict help build a lot of basic models without much code and helps understand which...
aimclub/FEDOT
Automated modeling and machine learning framework FEDOT