Build ML Models Without Code
Upload your data, select a model, and unbox it in minutes.
No coding required.
Powerful Features
Everything you need to build production-ready machine learning models
Easy Data Upload
Drag and drop your CSV files to upload your dataset or choose from one of our curated datasets
Data Explorer
Exploratory data analysis to understand your dataset
Visual Analytics
Dynamic Correlation heatmaps, Histograms and Pie Plots
Model Gallery
13 powerful ML algorithms to choose from
AutoPreprocessing
Automated data cleaning, feature selection and scaling
Real-time Evaluation
Dynamic dashboard with metrics and visualizations, Automated overfitting detection
How It Works
Build your machine learning model in minutes using our AutoML Pipeline
Upload Your Data
Drag and drop your CSV file into the upload zone
Explore & Preprocess
Analyze your data and apply automated preprocessing techniques
Select & Train Models
Choose a model from our model gallery and tune model parameters
Evaluate & Deploy
Review performance metrics and deploy your model
Model Gallery
Choose from 13 powerful machine learning algorithms
Linear/Logistic Regression
Simple, interpretable models for regression and classification
Decision Tree
Tree-based model with easy-to-understand decision rules
Random Forest
Ensemble of decision trees for improved accuracy
Gradient Boosting
Powerful boosting algorithm for complex relationships
K-Nearest Neighbors
Instance-based learning for local patterns
Support Vector Machine
Powerful algorithm for linear and non-linear boundaries
XGBoost
High-performance implementation of gradient boosting
Naive Bayes
Probabilistic classifier based on Bayes theorem
Ridge Regression
Linear regression with L2 regularization
Lasso Regression
Linear regression with L1 regularization for feature selection
ElasticNet
Linear regression with combined L1 and L2 regularization
Neural Network
Powerful algorithms inspired by how the human brain works
Zero Code Pipeline
Powerful tools for your machine learning workflow
Upload Zone
Dataset Overview
Feature Analysis
Correlation Heatmap
Feature Selection
Outlier Detection
Model Training
Hyperparameter Tuning
Performance Metrics
Deployment Options
Streamlit Web App
Flask API Script
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