ML Clever – No-Code Machine Learning Platform is a no-code AI platform that enables users to build, evaluate, and deploy machine learning models without writing code. It combines automated machine learning (AutoML), interactive dashboards for visualizing model results, and flexible prediction tools into one integrated solution. Users can upload data, run one-click models, compare algorithms, explore what-if scenarios, and publish AI-powered dashboards and predictions to inform business decisions.
How ML Clever Works
- Upload or connect data: Import your dataset (e.g., CSV) or connect to databases.
- Choose target variable: Specify the outcome you want to predict.
- One-Click AutoML: Start automated model training; the system tests multiple algorithms to find the best fit for your data.
- Evaluate and compare: Review model performance metrics and select the best model.
- Make predictions: Use no-code predictions via the UI or API.
- Create AI dashboards: Build interactive dashboards to visualize data, model insights, and prediction results without writing code.
- Publish and deploy: Deploy models and dashboards as needed for business use.
Core Capabilities
- AutoML: One-Click AutoML automatically trains and tests algorithms to find the best fit for your data.
- No-Code Predictions: Generate predictions through an intuitive interface or API without coding.
- AI Dashboards: Create interactive, drag-and-drop dashboards to visualize data and model insights.
- Preprocessing: Clean and transform data for machine learning without writing code.
- ML Pipelines: Build tailored machine learning workflows that integrate with existing systems.
- Model Training and Evaluation: Compare multiple algorithms and monitor performance metrics.
- Predictions View: Access prediction results and scenarios from model runs.
- Deployment: Deploy models and dashboards within the platform for ongoing use.
Use Cases
- Predicting sales revenue, customer churn, or risk scores with no coding required.
- Rapid experimentation with what-if scenarios by adjusting input variables and observing outcomes in real time.
- Building executive-friendly dashboards that explain model results and business impact.
How to Use ML Clever (Typical Flow)
- Upload data file or connect to your database.
- Select the target variable you want to predict.
- Click start to let One-Click AutoML handle the rest; you’ll be notified when the model is ready for predictions.
- Compare models, review metrics, and choose the best model for deployment.
- Create AI dashboards to visualize insights and share results with stakeholders.
Safety and Compliance Considerations
- Ensure data privacy and security when uploading sensitive data.
- Validate model outputs and use responsible AI practices in decision-making.
Core Features
- No-code AutoML: One-Click AutoML to automatically test and select the best model.
- No-Code Predictions: Generate predictions via UI or API without writing code.
- AI Dashboards: Drag-and-drop dashboards to visualize data, model insights, and predictions.
- Data Preprocessing: Clean and transform data without coding.
- ML Pipelines: Build end-to-end ML workflows that integrate with existing systems.
- Model Training & Evaluation: Compare multiple algorithms with performance metrics.
- Deployment & Sharing: Deploy models and dashboards for business use and collaboration.
- User-Friendly Interface: Designed for business users with minimal technical expertise.