PythonFlaskScikit-learnStreamlitAI / ML
EasyML — No-Code Machine Learning Platform
A no-code ML platform that democratises machine learning — upload a dataset, get model recommendations, run predictions, and download trained models. No coding required.
Jun 2026
## Overview
EasyML makes machine learning accessible to anyone — business analysts, researchers, and domain experts — without requiring a single line of Python. Upload your data, choose your goal, and let the platform handle the rest.
## How It Works
1. **Upload your dataset** — CSV, Excel, or JSON
2. **Auto-preprocessing** — EasyML handles missing values, encoding, and normalisation automatically
3. **Model recommendation** — the platform evaluates multiple algorithms and recommends the best fit
4. **Train & evaluate** — see accuracy metrics, feature importance, and model diagnostics
5. **Make predictions** — input new data and get instant predictions
6. **Download your model** — export the trained model for integration into other systems
## Supported Tasks
- **Classification** — spam detection, customer churn, disease diagnosis, sentiment analysis
- **Regression** — price prediction, demand forecasting, performance estimation
## Tech Stack
- **Python** — core ML processing
- **Scikit-learn** — model training, evaluation, AutoML pipeline
- **Streamlit** — interactive web interface (no frontend framework needed)
- **Pandas / NumPy** — data preprocessing and analysis
- **Pickle / Joblib** — model serialisation and download