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Transform raw data into machine learning-ready datasets with our intelligent data processing pipeline.
Import data from multiple sources or upload files directly
Automatic data profiling and quality assessment
Apply automated cleaning and transformation pipelines
Export clean data or use directly with our ML models
import mlplatform as ml
# Initialize data processor
processor = ml.DataProcessor()
# Load and process data
data = processor.load_data("data.csv")
processed_data = processor.clean(data)
# Apply transformations
transformed_data = processor.transform(
processed_data,
normalize=True,
handle_missing=True,
encode_categorical=True
)
# Export or use with ML models
transformed_data.export("clean_data.csv")
"ML Platform's data processing capabilities reduced our data preparation time by 80% and improved our model accuracy by 25%."
- Data Science Team Lead, Fortune 500 Company
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