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1. Upload
2. Target
3. Algorithm
4. Results
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Start with a dataset
Drop a CSV, or try one of ours to see the full loop in one click. Nothing you upload leaves this browser.
Titanic · 40 rows
Iris · 45 rows
Wine quality · 36 rows
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Rows
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Columns
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Duplicate rows
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Data health
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Scroll to browse columns
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Select a target column to predict
Continue to algorithm selection
Choose an algorithm to train on
Compare two algorithms
Train model
Accuracy
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Test rows
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Algorithm
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Feature importance
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Comparing algorithms on
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Data Insights
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Column by column
Correlation between numeric columns
Positive relationship
Negative relationship
What stands out
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