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2727``` mermaid
2828timeline
2929 title Machine Learning Learning Path
30- A.General Data Science : 1.Introduction to Data Science and Machine Learning
31- : 2.Python for Data Science
32- B.Statistics : 3.Statistical Learning and Regression Models
33- C.Classical Machine Learning :
34- : 4.Classification Algorithms
35- : 5.Ensemble Methods
36- : 6.Unsupervised Learning
37- D.Deep Learning : 7.Introduction to Deep Learning
38- : 8.Recurrent Neural Networks and Sequence Models
39- : 9.Generative Models
40- : 10.Transfer Learning and Fine-tuning
41- E.CDCI : 11.Model Deployment and Productionization
42- F.Ethics : 12.Ethical Considerations in Data Science
30+ "A.General Data Science" : "1.Introduction to Data Science and Machine Learning"
31+ : "2.Python for Data Science"
32+ B.Statistics : "3.Statistical Learning and Regression Models"
33+ "C.Classical Machine Learning" : "4.Classification Algorithms"
34+ : "5.Ensemble Methods"
35+ : "6.Unsupervised Learning"
36+ "D.Deep Learning" : "7.Introduction to Deep Learning"
37+ : "8.Recurrent Neural Networks and Sequence Models"
38+ : "9.Generative Models"
39+ : "10.Transfer Learning and Fine-tuning"
40+ E.CDCI : "11.Model Deployment and Productionization"
41+ F.Ethics : "12.Ethical Considerations in Data Science"
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