LinkedIn - Data Science for Java Developers

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Data Science for Java Developers [TutsNode.com] - Data Science for Java Developers
  • 20. Loading tab-separated files.mp4 (27.0 MB)
  • 28. Multiple datasets on a scatterplot.mp4 (23.5 MB)
  • 26. Formatting data for a scatterplot.mp4 (21.9 MB)
  • 16. Reducing file size.mp4 (20.5 MB)
  • 37. Loading flower data.mp4 (20.5 MB)
  • 45. Splitting your dataset by label.mp4 (19.6 MB)
  • 47. Calculating datapoint probabilities.mp4 (18.8 MB)
  • 22. Converting CSVs to data objects.mp4 (18.4 MB)
  • 10. Mapping.mp4 (17.3 MB)
  • 11. Filtering.mp4 (17.3 MB)
  • 32. Solution- Displaying data on a bar chart.mp4 (15.6 MB)
  • 8. More data formatting.mp4 (15.5 MB)
  • 19. Converting strings to data objects.mp4 (15.0 MB)
  • 27. Displaying a scatterplot.mp4 (14.8 MB)
  • 46. Calculating mean and standard deviation.mp4 (14.7 MB)
  • 25. Setting up JavaFX.mp4 (14.6 MB)
  • 13. Sorting.mp4 (14.6 MB)
  • 21. Loading CSVs.mp4 (14.5 MB)
  • 7. Data formatting in Java.mp4 (14.3 MB)
  • 30. Displaying a bar chart.mp4 (14.2 MB)
  • 44. Calculating the possible labels.mp4 (13.3 MB)
  • 29. Calculating average MPG.mp4 (13.0 MB)
  • 36. K-nearest neighbor basics.mp4 (12.5 MB)
  • 6. Types of problems in data science.mp4 (12.5 MB)
  • 24. Solution- Manipulating data.mp4 (11.8 MB)
  • 41. Letting your data points vote.mp4 (11.7 MB)
  • 38. Creating a DataItem interface.mp4 (11.4 MB)
  • 35. Overfitting and how to avoid it.mp4 (11.2 MB)
  • 18. Creating a person data class.mp4 (11.1 MB)
  • 43. Naive Bayes basics.mp4 (10.9 MB)
  • 5. CRISP-DM- The data science cycle.mp4 (10.9 MB)
  • 39. Calculating the closest data points.mp4 (10.8 MB)
  • 42. Finishing your KNN classifier.mp4 (9.1 MB)
  • 12. Collecting.mp4 (9.0 MB)
  • 2. What is data science anyway-.mp4 (8.8 MB)
  • 17. Loading data from text files.mp4 (8.3 MB)
  • 9. Real-life data difficulties.mp4 (8.3 MB)
  • 33. Building machine learning models.mp4 (7.9 MB)
  • 1. Data science- Making sense out of chaos.mp4 (7.3 MB)
  • 23. Challenge- Manipulating data.mp4 (6.9 MB)
  • 3. Data science examples.mp4 (6.5 MB)
  • 15. Solution- Combining data operations.mp4 (6.3 MB)
  • 40. Implementing the DataItem interface.mp4 (6.3 MB)
  • 34. Supervised vs. unsupervised learning.mp4 (4.8 MB)
  • 4. Data as a business asset.mp4 (4.4 MB)
  • 31. Challenge- Displaying data on a bar chart.mp4 (3.3 MB)
  • Ex_Files_Data_Science_Java.zip (1.6 MB)
  • 14. Challenge- Combining data operations.mp4 (1,017.7 KB)
  • TutsNode.com.txt (0.1 KB)
  • [TGx]Downloaded from torrentgalaxy.to .txt (0.6 KB)
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Description


Description

Learning the basics of data science and how to apply them in Java opens up a world of possibilities for you, in terms of building software and job opportunities. In this course, instructor Shaun Wassell takes you through the skill sets required for data science, shows you how to visualize data in Java, and explores different methods of turning data into information. Shaun introduces some basic concepts and examples of data science, then walks you through the process of representing data in Java and some difficulties you may encounter. He discusses data manipulation techniques like mapping, filtering, collecting, and sorting. Shaun describes how to find, gather, clean, manipulate, and store data, so that you can start doing useful things with it. Next, he shows you the fun part: different methods you can use to turn data into information. Shaun covers Nearest-Neighbor, Bayes, linear regression, decision trees, clustering, and more.



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LinkedIn - Data Science for Java Developers

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Download torrent
600.7 MB
seeders:13
leechers:2
LinkedIn - Data Science for Java Developers

Torrent hash: B751DE192EEE2429EFE873C63E1D88D1C8F84DDB