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docs/mlpaths.md
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A. General Data Science : 1. Introduction to Data Science and Machine Learning
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: 2. Python for Data Science
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: 12. Ethical Considerations in Data Science
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- B. Statistics : fa:fa-calculator 3.Statistical Learning and Regression Models
+ B. Statistics : 3. Statistical Learning and Regression Models
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C. Classical Machine Learning : 4. Classification Algorithms
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: 5. Ensemble Methods
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: 6. Unsupervised Learning
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- D. Deep Learning : 7.Introduction to Deep Learning
+ D. Deep Learning : 7. Introduction to Deep Learning
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: 8. Recurrent Neural Networks and Sequence Models
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: 9. Generative Models
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: 10. Transfer Learning and Fine-tuning
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