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```mermaid
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timeline
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title Machine Learning Learning Path
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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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B.Statistics : 3.Statistical Learning and Regression Models
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C.Classical Machine Learning :
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: 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
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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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E.CDCI : 11.Model Deployment and Productionization
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F.Ethics : 12.Ethical Considerations in Data Science
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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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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"
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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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E.CDCI : "11.Model Deployment and Productionization"
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F.Ethics : "12.Ethical Considerations in Data Science"
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```
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