The Data Science Process
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01. Video: Intro
02. Video: CRISP-DM
03. Video: The Data Science Process - Business & Data
04. Video: Business & Data Understanding - Example
05. Screencast: Using Workspaces
06. Quiz + Notebook: A Look at the Data
07. Screencast: A Look at the Data
08. What Should You Check?
09. Video: Business & Data Understanding
10. Video: Gathering & Wrangling
11. Screencast: How To Break Into the Field?
12. Notebook + Quiz: How To Break Into the Field
13. Screencast: How to Break Into the Field Solution
14. Screencast: Bootcamps
15. Quiz: Bootcamp Takeaways
16. Notebook + Quiz: Job Satisfaction
17. Screencast: Job Satisfaction
18. Video: It Is Not Always About ML
19. Video: The Data Science Process - Modeling
20. Video: Predicting Salary
21. Screencast: Predicting Salary
22. Notebook + Quiz: What Happened?
23. Screencast: What Happened Solution
24. Video: Working With Missing Values
25. Video: Removing Data - Why Not?
26. Video: Removing Data - When Is It OK?
27. Video: Removing Data - Other Considerations
28. Quiz: Removing Data
29. Notebook + Quiz: Removing Values
30. ScreenCast: Removing Data Solution
31. Notebook + Quiz: Removing Data Part II
32. Screencast: Removing Data Part II Solution
33. Video: Imputing Missing Values
34. Notebook + Quiz: Imputation Methods & Resources
35. Screencast: Imputation Methods & Resources Solution
36. Notebook + Quiz: Imputing Values
37. Screencast: Imputing Values Solution
38. Video: Working With Categorical Variables Refresher
39. Notebook + Quiz: Categorical Variables
40. Screencast: Categorical Variables Solution
41. Video: How to Fix This?
42. Notebook + Quiz: Putting It All Together
43. Screencast + Notebook: Putting It All Together Solution
44. Text + Quiz: Results
45. Video: The Data Science Process - Evaluate & Deploy
46. Text: Recap
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35. Screencast: Imputation Methods & Resources Solution
Imputation Methods
Code
If you need a code on the
https://github.com/udacity
.
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