mlcourse.ai – Open Machine Learning Course

Author: Name as in the rating, ODS Slack nickname

Individual data analysis project

Research plan

 - Dataset and features description
 - Exploratory data analysis
 - Visual analysis of the features
 - Patterns, insights, pecularities of data
 - Data preprocessing
 - Feature engineering and description
 - Cross-validation, hyperparameter tuning
 - Validation and learning curves
 - Prediction for hold-out and test samples
 - Model evaluation with metrics description
 - Conclusions

Part 1. Dataset and features description

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Part 2. Exploratory data analysis

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Part 3. Visual analysis of the features

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Part 4. Patterns, insights, pecularities of data

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Part 5. Data preprocessing

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Part 6. Feature engineering and description

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Part 7. Cross-validation, hyperparameter tuning

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Part 8. Validation and learning curves

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Part 9. Prediction for hold-out and test samples

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Part 10. Model evaluation with metrics description

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Part 11. Conclusions

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