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FreeTutorials Us UDEMY Data Science with Python Beginners FTU

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

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Total Size

1.5 GB

Total Files

79

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4BC86FFBB8B43029A4849C2961669DDF17925AEE

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How you can help Team-FTU.txt

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/1. Introduction/

1. Introduction to Data Visualization.mp4

21.3 MB

1. Introduction to Data Visualization.vtt

4.9 KB

1.1 Data Science with Python.zip.zip

910.3 KB

/2. What is Data Science/

1. Understanding Data Science.mp4

24.4 MB

1. Understanding Data Science.vtt

5.9 KB

2. Python Environment Framework.mp4

33.0 MB

2. Python Environment Framework.vtt

5.0 KB

3. Various Python Scripts.mp4

30.1 MB

3. Various Python Scripts.vtt

6.6 KB

/3. Advanced Python/

1. Concept of Advanced Python.mp4

27.8 MB

1. Concept of Advanced Python.vtt

6.4 KB

2. Creating Functions for Python.mp4

24.7 MB

2. Creating Functions for Python.vtt

4.5 KB

3. Creating a New Library.mp4

23.9 MB

3. Creating a New Library.vtt

4.8 KB

4. Creating Bar Charts.mp4

40.8 MB

4. Creating Bar Charts.vtt

7.8 KB

5. Analysis on Line Chart.mp4

31.8 MB

5. Analysis on Line Chart.vtt

5.7 KB

6. Understanding Scattered Plots.mp4

36.8 MB

6. Understanding Scattered Plots.vtt

5.9 KB

/4. Linear Algebra/

1. Vector Spaces in Linear Algebra.mp4

37.2 MB

1. Vector Spaces in Linear Algebra.vtt

6.5 KB

2. Matrices in Linear Algebra.mp4

55.5 MB

2. Matrices in Linear Algebra.vtt

10.2 KB

3. Analysing Statistical Data.mp4

30.5 MB

3. Analysing Statistical Data.vtt

6.2 KB

4. Understanding Central Tendencies.mp4

66.0 MB

4. Understanding Central Tendencies.vtt

10.0 KB

5. Dispersion for Data.mp4

36.0 MB

5. Dispersion for Data.vtt

5.4 KB

/5. Probability/

1. Probability in Discreet Mathematics.mp4

21.6 MB

1. Probability in Discreet Mathematics.vtt

4.4 KB

10. Line of Best Fit.mp4

32.1 MB

10. Line of Best Fit.vtt

4.4 KB

11. Datascience with Gradient Descent.mp4

14.5 MB

11. Datascience with Gradient Descent.vtt

3.8 KB

12. Example on Gradient Descent.mp4

33.2 MB

12. Example on Gradient Descent.vtt

5.0 KB

2. Normal Distribution Curve.mp4

45.8 MB

2. Normal Distribution Curve.vtt

6.8 KB

3. Example for Normal Distribution Curve.mp4

34.1 MB

3. Example for Normal Distribution Curve.vtt

34.1 MB

4. Central Limit Theorem.mp4

38.6 MB

4. Central Limit Theorem.vtt

6.3 KB

5. Concept of Hypothesis.mp4

27.5 MB

5. Concept of Hypothesis.vtt

4.2 KB

6. Example on Hypothesis Testing.mp4

51.7 MB

6. Example on Hypothesis Testing.vtt

6.6 KB

7. Defining the Next Value.mp4

62.5 MB

7. Defining the Next Value.vtt

7.8 KB

8. Principle of P Hacking.mp4

28.7 MB

8. Principle of P Hacking.vtt

4.4 KB

9. Understanding Bayesian Inference.mp4

29.2 MB

9. Understanding Bayesian Inference.vtt

5.2 KB

/6. Gradient Descent/

1. Value Import.mp4

61.7 MB

1. Value Import.vtt

6.2 KB

2. Output Functions for Gradient.mp4

54.2 MB

2. Output Functions for Gradient.vtt

5.6 KB

3. Working with Data Analysis.mp4

58.9 MB

3. Working with Data Analysis.vtt

8.6 KB

4. Creating Normal Histogram.mp4

68.1 MB

4. Creating Normal Histogram.vtt

6.6 KB

5. Two Dimensional Graph.mp4

51.5 MB

5. Two Dimensional Graph.vtt

5.7 KB

6. Multiple Scatter Plots.mp4

47.7 MB

6. Multiple Scatter Plots.vtt

6.1 KB

7. Analyzing Data Sets.mp4

36.3 MB

7. Analyzing Data Sets.vtt

5.6 KB

8. Learnig Box Plots.mp4

41.8 MB

8. Learnig Box Plots.vtt

41.8 MB

/7. Conclusion/

1. Overview and Conclusion.mp4

16.1 MB

1. Overview and Conclusion.vtt

4.1 KB

 

Total files 79


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