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Data Scince Engineering

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by rawmsh7
Course level: All Levels
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Categories Audio Book Courses
Duration 43h
Total Enrolled 10
Last Update December 15, 2024

What Will I Learn?

Learn Machine learning and Data science from beginner

Topics for this course

36 Lessons43h

2. Machine Learning 02

5. Learn Data science01:26:40

6. Exercise Machine Learning Playground00:00:00

7. AI/Machine Learning/Data Science00:00:00

8. chapter 8,9,10,11 Ztm resource , playground00:00:00

12. Types of Machine Learning00:00:00

14. What Is Machine Learning? Round 200:00:00

15-16. chapter Monthly Coding Challenges, Free Resources and Guides00:00:00

Section 3 : Machine Learning and Data science framework

Stop 17. Section Overview00:00:00

18. Introducing Our Framework00:00:00

19. 6 Step Machine Learning Framework00:00:00

20. Types of Machine Learning Problems00:00:00

21. Types of Data00:00:00

22. Types of Evaluation00:00:00

23. Features In Data00:00:00

24. Modelling – Splitting Data00:00:00

25. Modelling – Picking the Model00:00:00

26. Modelling – Tuning00:00:00

Modelling _ Comparision00:00:00

28. Overfitting and Underfitting Definitions00:00:00

29. Experimentation00:00:00

30. Tools We Will Use00:00:00

31. Optional: Elements of AI00:00:00

Section ;4 the 2 paths?

Anaconda Environment setup and uses

Section 5; Data science Environment setup

35. Section Overview00:00:00

36. Introducing Our Tools00:00:00

37. What is Conda?00:00:00

38. Conda Environments00:00:00

39. Mac Environment Setup00:00:00

40. Mac Environment Setup 200:00:00

41. Windows Environment Setup00:00:00

42. Windows Environment Setup 200:00:00

43. Linux Environment Setup00:00:00

44. Sharing your Conda Environment00:00:00

45. Jupyter Notebook Walkthrough00:00:00

Free

Tags

Data science Engineering

Target Audience

Beginer

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