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[FreeTutorials.Us] [UDEMY] Data Science with Python - Beginners [FTU]

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视频 2019-9-12 20:56 2024-12-16 17:33 90 1.28 GB 36
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文件列表
  1. 1. Introduction/1. Introduction to Data Visualization.mp420.32MB
  2. 2. What is Data Science/1. Understanding Data Science.mp423.29MB
  3. 2. What is Data Science/2. Python Environment Framework.mp431.48MB
  4. 2. What is Data Science/3. Various Python Scripts.mp428.7MB
  5. 3. Advanced Python/1. Concept of Advanced Python.mp426.5MB
  6. 3. Advanced Python/2. Creating Functions for Python.mp423.6MB
  7. 3. Advanced Python/3. Creating a New Library.mp422.83MB
  8. 3. Advanced Python/4. Creating Bar Charts.mp438.96MB
  9. 3. Advanced Python/5. Analysis on Line Chart.mp430.3MB
  10. 3. Advanced Python/6. Understanding Scattered Plots.mp435.11MB
  11. 4. Linear Algebra/1. Vector Spaces in Linear Algebra.mp435.45MB
  12. 4. Linear Algebra/2. Matrices in Linear Algebra.mp452.97MB
  13. 4. Linear Algebra/3. Analysing Statistical Data.mp429.11MB
  14. 4. Linear Algebra/4. Understanding Central Tendencies.mp462.96MB
  15. 4. Linear Algebra/5. Dispersion for Data.mp434.33MB
  16. 5. Probability/1. Probability in Discreet Mathematics.mp420.58MB
  17. 5. Probability/10. Line of Best Fit.mp430.57MB
  18. 5. Probability/11. Datascience with Gradient Descent.mp413.8MB
  19. 5. Probability/12. Example on Gradient Descent.mp431.69MB
  20. 5. Probability/2. Normal Distribution Curve.mp443.7MB
  21. 5. Probability/3. Example for Normal Distribution Curve.mp432.54MB
  22. 5. Probability/4. Central Limit Theorem.mp436.84MB
  23. 5. Probability/5. Concept of Hypothesis.mp426.19MB
  24. 5. Probability/6. Example on Hypothesis Testing.mp449.32MB
  25. 5. Probability/7. Defining the Next Value.mp459.61MB
  26. 5. Probability/8. Principle of P Hacking.mp427.36MB
  27. 5. Probability/9. Understanding Bayesian Inference.mp427.87MB
  28. 6. Gradient Descent/1. Value Import.mp458.83MB
  29. 6. Gradient Descent/2. Output Functions for Gradient.mp451.68MB
  30. 6. Gradient Descent/3. Working with Data Analysis.mp456.17MB
  31. 6. Gradient Descent/4. Creating Normal Histogram.mp464.94MB
  32. 6. Gradient Descent/5. Two Dimensional Graph.mp449.08MB
  33. 6. Gradient Descent/6. Multiple Scatter Plots.mp445.53MB
  34. 6. Gradient Descent/7. Analyzing Data Sets.mp434.6MB
  35. 6. Gradient Descent/8. Learnig Box Plots.mp439.85MB
  36. 7. Conclusion/1. Overview and Conclusion.mp415.38MB
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