This notebook covers the basic Machine Learning process in Python step-by-step. Go from raw data to at least 78% accuracy on the Titanic Survivors dataset.
1. Importing a DataFrame
2. Visualize the Data
3. Cleanup and Transform the Data
4. Encode the Data
5. Split Training and Test Sets
6. Fine Tune Algorithms
7. Cross Validate with KFold
8. Upload to Kaggle
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An Open Source Machine Learning Framework for Everyone
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