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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" : "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"
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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