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| [TGx]Downloaded from torrentgalaxy.to .txt |
585б |
| 0 |
50б |
| 1 |
34б |
| 1.1 Machine1.csv |
803б |
| 1.1 Piece_Dim.csv |
1.60Кб |
| 1.1 Section 2.ipynb |
11.70Кб |
| 1.1 Section 3.ipynb |
198.87Кб |
| 1.1 Section 5.ipynb |
870.36Кб |
| 1.1 Section 6.ipynb |
71.28Кб |
| 1.1 Two Machines.csv |
3.51Кб |
| 1.2 Piece_Dim.csv |
1.60Кб |
| 1.2 Section 4.ipynb |
104.71Кб |
| 1.2 Section 8.ipynb |
124.04Кб |
| 1.2 Smokers.csv |
1.39Кб |
| 1.3 Section 7.ipynb |
66.26Кб |
| 1. Download Section 2 Resources.html |
71б |
| 1. Download Section 3 Resources.html |
71б |
| 1. Download Section 4 Resources.html |
71б |
| 1. Download Section 5 Resources.html |
71б |
| 1. Download Section 6 Resources.html |
71б |
| 1. Download Section 7 Resources.html |
71б |
| 1. Download Section 8 Resources.html |
71б |
| 1. Installing Anaconda.mp4 |
59.61Мб |
| 1. Installing Anaconda.srt |
9.18Кб |
| 10 |
95.15Кб |
| 10. [Theory] Types of Errors - Type I and Type II Errors.mp4 |
75.33Мб |
| 10. [Theory] Types of Errors - Type I and Type II Errors.srt |
15.28Кб |
| 10.1 Smokers.csv |
1.39Кб |
| 10. DataFrame - Dealing with Rows.mp4 |
154.78Мб |
| 10. DataFrame - Dealing with Rows.srt |
34.78Кб |
| 10. One Proportion Test Using Python.mp4 |
81.59Мб |
| 10. One Proportion Test Using Python.srt |
14.82Кб |
| 10. Select a subsection of an Array.html |
133б |
| 10. Solution Find the Inter Quartile Range.html |
130б |
| 10. Solution Select an element from the list.html |
61б |
| 10. Two Sample t Test Using Python.mp4 |
48.29Мб |
| 10. Two Sample t Test Using Python.srt |
7.69Кб |
| 10. Visualizing the Titanic dataset.mp4 |
100.54Мб |
| 10. Visualizing the Titanic dataset.srt |
22.98Кб |
| 100 |
673.03Кб |
| 101 |
109.97Кб |
| 11 |
996.27Кб |
| 11. [Theory] One Variance Test - Introduction.mp4 |
27.86Мб |
| 11. [Theory] One Variance Test - Introduction.srt |
4.93Кб |
| 11. [Theory] Paired t Test.mp4 |
89.01Мб |
| 11. [Theory] Paired t Test.srt |
13.67Кб |
| 11. [Theory] Types of Errors - Summary.mp4 |
89.60Мб |
| 11. [Theory] Types of Errors - Summary.srt |
15.66Кб |
| 11. Solution Select a subsection of an Array.html |
65б |
| 11. What is the Temperature on Monday.html |
133б |
| 11. Working with a List - Part 2.mp4 |
34.78Мб |
| 11. Working with a List - Part 2.srt |
8.16Кб |
| 12 |
573.70Кб |
| 12. [Theory] Hypothesis Testing - An Overview.mp4 |
84.68Мб |
| 12. [Theory] Hypothesis Testing - An Overview.srt |
15.41Кб |
| 12. [Theory] One Variance Test - Example 1.mp4 |
53.29Мб |
| 12. [Theory] One Variance Test - Example 1.srt |
9.18Кб |
| 12. A review of lists.html |
133б |
| 12. NumPy - Part 3.mp4 |
73.15Мб |
| 12. NumPy - Part 3.srt |
12.85Кб |
| 12. Paired t Test Using Python.mp4 |
34.29Мб |
| 12. Paired t Test Using Python.srt |
5.92Кб |
| 12. Solution What is the Temperature on Monday.html |
449б |
| 13 |
447.28Кб |
| 13. [Theory] One Variance Test - Example 2.mp4 |
62.73Мб |
| 13. [Theory] One Variance Test - Example 2.srt |
7.20Кб |
| 13. [Theory] Two Proportions Test - Introduction.mp4 |
52.67Мб |
| 13. [Theory] Two Proportions Test - Introduction.srt |
7.57Кб |
| 13. [Theory] Z Tables - Finding the Critical Values.mp4 |
100.09Мб |
| 13. [Theory] Z Tables - Finding the Critical Values.srt |
10.92Кб |
| 13. Divide the Array elements by 10.html |
133б |
| 13. Solution A review of lists.html |
72б |
| 14 |
731.21Кб |
| 14. [Theory] The p-Value.mp4 |
51.89Мб |
| 14. [Theory] The p-Value.srt |
5.34Кб |
| 14. [Theory] Two Proportions Test - Pooled vs Unpooled Method.mp4 |
46.59Мб |
| 14. [Theory] Two Proportions Test - Pooled vs Unpooled Method.srt |
5.22Кб |
| 14. One Variance Test Using Python.mp4 |
69.46Мб |
| 14. One Variance Test Using Python.srt |
12.08Кб |
| 14. Solution Divide the array elements by 10.html |
63б |
| 14. Working with a Dictionary.mp4 |
42.92Мб |
| 14. Working with a Dictionary.srt |
9.18Кб |
| 15 |
406.15Кб |
| 15. [Theory] Basics of Probability - Part 1.mp4 |
51.52Мб |
| 15. [Theory] Basics of Probability - Part 1.srt |
10.30Кб |
| 15. [Theory] Two Proportions Test - An Example of Pooled Method.mp4 |
59.70Мб |
| 15. [Theory] Two Proportions Test - An Example of Pooled Method.srt |
10.63Кб |
| 15. Quiz Hypothesis Testing Basics.html |
133б |
| 15. Quiz Hypothesis Testing Part 1.html |
133б |
| 15. Working with a Tuple.mp4 |
25.55Мб |
| 15. Working with a Tuple.srt |
4.49Кб |
| 16 |
1015.60Кб |
| 16. [Theory] Basics of Probability - Part 2.mp4 |
88.90Мб |
| 16. [Theory] Basics of Probability - Part 2.srt |
14.95Кб |
| 16. Hypothesis Testing Using Python.mp4 |
102.52Мб |
| 16. Hypothesis Testing Using Python.srt |
14.84Кб |
| 16. Two Proportions Test Using Python.mp4 |
54.42Мб |
| 16. Two Proportions Test Using Python.srt |
9.41Кб |
| 16. Working with a Set.mp4 |
15.89Мб |
| 16. Working with a Set.srt |
3.91Кб |
| 17 |
103.45Кб |
| 17. [Theory] Basics of Probability - Part 3.mp4 |
69.39Мб |
| 17. [Theory] Basics of Probability - Part 3.srt |
11.64Кб |
| 17. [Theory] Two Variances Test.mp4 |
95.03Мб |
| 17. [Theory] Two Variances Test.srt |
16.30Кб |
| 17. Logical Operators.mp4 |
28.14Мб |
| 17. Logical Operators.srt |
5.13Кб |
| 18 |
694.32Кб |
| 18. Quiz Basics of Probability.html |
133б |
| 18. Two Variances Test Using Python.mp4 |
69.02Мб |
| 18. Two Variances Test Using Python.srt |
15.11Кб |
| 19 |
439.54Кб |
| 19. [Theory] ANOVA - Introduction.mp4 |
40.01Мб |
| 19. [Theory] ANOVA - Introduction.srt |
7.57Кб |
| 19. Generating Random Numbers to Simulate the Probability.mp4 |
87.57Мб |
| 19. Generating Random Numbers to Simulate the Probability.srt |
18.90Кб |
| 2 |
897.71Кб |
| 2. [Theory] Measurement of Central Tendency.mp4 |
80.00Мб |
| 2. [Theory] Measurement of Central Tendency.srt |
10.75Кб |
| 2. [Theory] Population vs Samples.mp4 |
60.31Мб |
| 2. [Theory] Population vs Samples.srt |
10.08Кб |
| 2. [Theory] Tests for means, variances and proportions - Introduction.mp4 |
96.48Мб |
| 2. [Theory] Tests for means, variances and proportions - Introduction.srt |
11.08Кб |
| 2. [Theory] Two Sample z Test - Introduction.mp4 |
32.21Мб |
| 2. [Theory] Two Sample z Test - Introduction.srt |
7.14Кб |
| 2.1 Section 3.ipynb |
198.52Кб |
| 2.1 Section 4.ipynb |
104.71Кб |
| 2.1 Section 6.ipynb |
71.28Кб |
| 2.1 Section 7.ipynb |
66.26Кб |
| 2.1 Section 8.ipynb |
124.04Кб |
| 2. Getting started with Jupyter Notebook.mp4 |
51.84Мб |
| 2. Getting started with Jupyter Notebook.srt |
11.82Кб |
| 2. Histogram using matplotlib.pyplot.mp4 |
59.20Мб |
| 2. Histogram using matplotlib.pyplot.srt |
12.88Кб |
| 2. NumPy - Part 1.mp4 |
75.00Мб |
| 2. NumPy - Part 1.srt |
20.80Кб |
| 2. Pandas Series.mp4 |
86.99Мб |
| 2. Pandas Series.srt |
14.31Кб |
| 20 |
9.13Кб |
| 20. [Theory] Why ANOVA.mp4 |
48.18Мб |
| 20. [Theory] Why ANOVA.srt |
7.29Кб |
| 20. A Sample Probability Question.mp4 |
57.65Мб |
| 20. A Sample Probability Question.srt |
11.40Кб |
| 21 |
826.28Кб |
| 21. [Theory] ANOVA - Conceptual Understanding.mp4 |
39.11Мб |
| 21. [Theory] ANOVA - Conceptual Understanding.srt |
10.23Кб |
| 21. Generate Five Random Numbers.html |
133б |
| 22 |
329.18Кб |
| 22. [Theory] Statistics behind ANOVA.mp4 |
36.83Мб |
| 22. [Theory] Statistics behind ANOVA.srt |
9.18Кб |
| 22. Solution Generate Five Random Numbers.html |
76б |
| 23 |
595.35Кб |
| 23. [Theory] Performing ANOVA by Manual Calculations.mp4 |
75.03Мб |
| 23. [Theory] Performing ANOVA by Manual Calculations.srt |
17.91Кб |
| 23. [Theory] Probability Distributions - Introduction.mp4 |
41.87Мб |
| 23. [Theory] Probability Distributions - Introduction.srt |
9.61Кб |
| 24 |
629.70Кб |
| 24. [Theory] Binomial Distribution.mp4 |
127.19Мб |
| 24. [Theory] Binomial Distribution.srt |
18.73Кб |
| 24. Conducting ANOVA Using Python.mp4 |
54.84Мб |
| 24. Conducting ANOVA Using Python.srt |
8.77Кб |
| 25 |
6.81Кб |
| 25. Conducting ANOVA Using Python - mpg Dataset.mp4 |
77.87Мб |
| 25. Conducting ANOVA Using Python - mpg Dataset.srt |
15.86Кб |
| 25. Quiz Binomial Distribution.html |
133б |
| 26 |
686.93Кб |
| 26. [Theory] Goodness of Fit.mp4 |
70.76Мб |
| 26. [Theory] Goodness of Fit.srt |
15.06Кб |
| 26. Binomial Distribution Using NumPy.mp4 |
73.61Мб |
| 26. Binomial Distribution Using NumPy.srt |
16.93Кб |
| 27 |
422.37Кб |
| 27. Goodness of Fit Test Using Python.mp4 |
67.43Мб |
| 27. Goodness of Fit Test Using Python.srt |
11.81Кб |
| 27. Introducing SciPy Package for Binomial Distributions.mp4 |
108.05Мб |
| 27. Introducing SciPy Package for Binomial Distributions.srt |
22.45Кб |
| 28 |
783.38Кб |
| 28. [Theory] Contingency Tables.mp4 |
57.63Мб |
| 28. [Theory] Contingency Tables.srt |
13.73Кб |
| 28. Flipping a Coin.html |
133б |
| 29 |
3.91Кб |
| 29. Quiz Hypothesis Testing Part 2.html |
133б |
| 29. Solution Flipping a Coin.html |
72б |
| 3 |
749.72Кб |
| 3. [Theory] Central Limit Theorem.mp4 |
68.29Мб |
| 3. [Theory] Central Limit Theorem.srt |
12.87Кб |
| 3. [Theory] Measurement of Dispersion - Part 1.mp4 |
62.52Мб |
| 3. [Theory] Measurement of Dispersion - Part 1.srt |
8.79Кб |
| 3. [Theory] One Sample Z Test - Conditions.mp4 |
50.06Мб |
| 3. [Theory] One Sample Z Test - Conditions.srt |
9.62Кб |
| 3. [Theory] Two Sample z Test - Example.mp4 |
40.46Мб |
| 3. [Theory] Two Sample z Test - Example.srt |
7.31Кб |
| 3.1 Section 1.ipynb |
36.00Кб |
| 3.2 Python Statistics Slides.pdf |
2.85Мб |
| 3. Box Plot using matplotlib.pyplot.mp4 |
74.61Мб |
| 3. Box Plot using matplotlib.pyplot.srt |
13.63Кб |
| 3. Download Section 1 Resources and the Course Slides.html |
168б |
| 3. Pandas DataFrame.mp4 |
52.90Мб |
| 3. Pandas DataFrame.srt |
9.91Кб |
| 3. Two Dimensional Array.html |
133б |
| 30 |
715.23Кб |
| 30. Contingency Tables Using Python.mp4 |
95.91Мб |
| 30. Contingency Tables Using Python.srt |
18.50Кб |
| 30. Let's Flip Again.html |
133б |
| 31 |
129.21Кб |
| 31. Solution Let's Flip Again.html |
104б |
| 32 |
219.80Кб |
| 32. Number of defectives in a selection.html |
133б |
| 33 |
559.94Кб |
| 33. Solution Number of defectives in a selection.html |
75б |
| 34 |
687.65Кб |
| 34. [Theory] Poisson Distribution.mp4 |
69.78Мб |
| 34. [Theory] Poisson Distribution.srt |
7.55Кб |
| 35 |
877.78Кб |
| 35. [Theory] Poisson Distributions - An Example.mp4 |
60.45Мб |
| 35. [Theory] Poisson Distributions - An Example.srt |
7.21Кб |
| 36 |
994.51Кб |
| 36. Poisson Distribution Using NumPy.mp4 |
46.47Мб |
| 36. Poisson Distribution Using NumPy.srt |
10.05Кб |
| 37 |
1021.57Кб |
| 37. Poisson Distribution Using SciPy.mp4 |
76.45Мб |
| 37. Poisson Distribution Using SciPy.srt |
15.56Кб |
| 38 |
398.84Кб |
| 38. Receiving Phone Calls.html |
133б |
| 39 |
818.06Кб |
| 39. Solution Receiving Phone Calls.html |
64б |
| 4 |
493.06Кб |
| 4. [Theory] Measurement of Dispersion - Part 2.mp4 |
48.94Мб |
| 4. [Theory] Measurement of Dispersion - Part 2.srt |
7.73Кб |
| 4. [Theory] One Sample Z Test.mp4 |
83.39Мб |
| 4. [Theory] One Sample Z Test.srt |
8.57Кб |
| 4. Create a DataFrame.html |
133б |
| 4. Getting started with Python.mp4 |
69.41Мб |
| 4. Getting started with Python.srt |
17.86Кб |
| 4. Line and Scatter Plots using matplotlib.pyplot.mp4 |
54.07Мб |
| 4. Line and Scatter Plots using matplotlib.pyplot.srt |
11.49Кб |
| 4. Quiz Population vs Samples + Central Limit Theorem.html |
133б |
| 4. Solution Two Dimensional Array.html |
79б |
| 4. Two Sample z Test Using Python.mp4 |
66.82Мб |
| 4. Two Sample z Test Using Python.srt |
15.09Кб |
| 40 |
395.02Кб |
| 40. Probability of more than 6 calls.html |
133б |
| 41 |
872.60Кб |
| 41. Solution Probability of more than 6 calls.html |
67б |
| 42 |
246.29Кб |
| 42. [Theory] Normal Distribution - Part 1.mp4 |
90.29Мб |
| 42. [Theory] Normal Distribution - Part 1.srt |
14.27Кб |
| 43 |
225.63Кб |
| 43. [Theory] Normal Distribution - Part 2.mp4 |
82.99Мб |
| 43. [Theory] Normal Distribution - Part 2.srt |
13.84Кб |
| 44 |
555.15Кб |
| 44. Quiz Normal Distrubution.html |
133б |
| 45 |
599.61Кб |
| 45. Normal Distribution Using NumPy.mp4 |
74.20Мб |
| 45. Normal Distribution Using NumPy.srt |
14.20Кб |
| 46 |
627.84Кб |
| 46. Normal Distribution Using SciPy.mp4 |
102.24Мб |
| 46. Normal Distribution Using SciPy.srt |
15.61Кб |
| 47 |
1007.52Кб |
| 47. Area of curve between two values of z.html |
133б |
| 48 |
729.60Кб |
| 48. Solution Area of curve between two values of z.html |
326б |
| 49 |
96.12Кб |
| 49. Descriptive Statistics Using NumPy.mp4 |
62.66Мб |
| 49. Descriptive Statistics Using NumPy.srt |
13.38Кб |
| 5 |
781.65Кб |
| 5. Bar Plot using matplotlib.pyplot.mp4 |
47.00Мб |
| 5. Bar Plot using matplotlib.pyplot.srt |
11.04Кб |
| 5. Central Limit Theorem - Using Python.mp4 |
127.85Мб |
| 5. Central Limit Theorem - Using Python.srt |
22.82Кб |
| 5. Creating a Numpy array.html |
133б |
| 5. One Sample Z Test - Examples.mp4 |
49.54Мб |
| 5. One Sample Z Test - Examples.srt |
6.64Кб |
| 5. Quiz Descriptive Statistics.html |
133б |
| 5. Solution Create a DataFrame.html |
447б |
| 5. Two Sample z Test Using Python - tips Dataset.mp4 |
55.76Мб |
| 5. Two Sample z Test Using Python - tips Dataset.srt |
10.58Кб |
| 5. Variables and Data Types.mp4 |
38.37Мб |
| 5. Variables and Data Types.srt |
8.03Кб |
| 50 |
584.82Кб |
| 50. Mean of Rows.html |
133б |
| 51 |
187.19Кб |
| 51. Solution Mean of Rows.html |
601б |
| 52 |
275.41Кб |
| 53 |
348.41Кб |
| 54 |
487.98Кб |
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488.07Кб |
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559.38Кб |
| 57 |
705.52Кб |
| 58 |
305.52Кб |
| 59 |
401.12Кб |
| 6 |
467.63Кб |
| 6. [Theory] Basics of Hypothesis Testing.mp4 |
16.34Мб |
| 6. [Theory] Basics of Hypothesis Testing.srt |
4.10Кб |
| 6. [Theory] Two Sample t Test - Conditions and Calculations.mp4 |
59.12Мб |
| 6. [Theory] Two Sample t Test - Conditions and Calculations.srt |
12.30Кб |
| 6.1 Machine1.csv |
803б |
| 6.1 Piece_Dim.csv |
1.60Кб |
| 6. Descriptive Statistics Using Python.mp4 |
85.19Мб |
| 6. Descriptive Statistics Using Python.srt |
17.81Кб |
| 6. Introduction to coding exercises.html |
133б |
| 6. One Sample Z Test Using Python.mp4 |
90.56Мб |
| 6. One Sample Z Test Using Python.srt |
19.31Кб |
| 6. Reading a .csv File (Importing External Data).mp4 |
79.30Мб |
| 6. Reading a .csv File (Importing External Data).srt |
16.66Кб |
| 6. Saving the plot as .png or .jpg.mp4 |
34.42Мб |
| 6. Saving the plot as .png or .jpg.srt |
5.45Кб |
| 6. Solution Creating a Numpy array.html |
93б |
| 60 |
823.03Кб |
| 61 |
905.34Кб |
| 62 |
356.32Кб |
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383.81Кб |
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245.85Кб |
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163.31Кб |
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595.53Кб |
| 67 |
951.40Кб |
| 68 |
723.02Кб |
| 69 |
101.99Кб |
| 7 |
936.39Кб |
| 7. [Theory] Statistical and Practical Significance.mp4 |
38.26Мб |
| 7. [Theory] Statistical and Practical Significance.srt |
7.99Кб |
| 7. [Theory] Two Sample t Test - Equal Variance.mp4 |
88.32Мб |
| 7. [Theory] Two Sample t Test - Equal Variance.srt |
11.28Кб |
| 7. Find the mean, mode, median and standard deviation.html |
133б |
| 7. Importing a CSV file.html |
133б |
| 7. NumPy - Part 2.mp4 |
75.14Мб |
| 7. NumPy - Part 2.srt |
15.80Кб |
| 7. One Sample t Test.mp4 |
82.33Мб |
| 7. One Sample t Test.srt |
11.75Кб |
| 7. Seaborn - Displot group of plots.mp4 |
76.79Мб |
| 7. Seaborn - Displot group of plots.srt |
18.82Кб |
| 7. Solution Introduction to coding exercises.html |
96б |
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342.87Кб |
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110.41Кб |
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160.23Кб |
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489.80Кб |
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475.60Кб |
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64.00Кб |
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731.28Кб |
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843.86Кб |
| 79 |
4.85Кб |
| 8 |
529.76Кб |
| 8. [Theory] Null and Alternate Hypothesis.mp4 |
21.61Мб |
| 8. [Theory] Null and Alternate Hypothesis.srt |
4.30Кб |
| 8. [Theory] Two Sample t Test - Unequal Variance.mp4 |
104.27Мб |
| 8. [Theory] Two Sample t Test - Unequal Variance.srt |
14.62Кб |
| 8. Filtering from an Array.html |
133б |
| 8. One Sample t Test Using Python.mp4 |
29.89Мб |
| 8. One Sample t Test Using Python.srt |
6.02Кб |
| 8. Seaborn - Catplot group of plots.mp4 |
67.91Мб |
| 8. Seaborn - Catplot group of plots.srt |
15.26Кб |
| 8. Solution Find the mean, mode, median and standard deviation.html |
179б |
| 8. Solution Importing a CSV file.html |
98б |
| 8. Working with a List - Part 1.mp4 |
83.42Мб |
| 8. Working with a List - Part 1.srt |
21.09Кб |
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419.64Кб |
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542.17Кб |
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79.84Кб |
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136.84Кб |
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551.10Кб |
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1016.87Кб |
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906.57Кб |
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650.05Кб |
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754.47Кб |
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378.91Кб |
| 9 |
613.42Кб |
| 9. [Theory] Hypothesis Testing - A Simple Introduction.mp4 |
96.40Мб |
| 9. [Theory] Hypothesis Testing - A Simple Introduction.srt |
15.75Кб |
| 9. [Theory] One Proportion Test.mp4 |
93.44Мб |
| 9. [Theory] One Proportion Test.srt |
15.70Кб |
| 9. [Theory] Two Sample t Test - Visual Interpretation.mp4 |
37.63Мб |
| 9. [Theory] Two Sample t Test - Visual Interpretation.srt |
6.85Кб |
| 9. DataFrame - Dealing with Columns.mp4 |
62.52Мб |
| 9. DataFrame - Dealing with Columns.srt |
13.76Кб |
| 9. Find the Inter Quartile Range.html |
133б |
| 9. Seaborn - Relplot group of plots.mp4 |
81.23Мб |
| 9. Seaborn - Relplot group of plots.srt |
12.42Кб |
| 9. Select an element from the list.html |
133б |
| 9. Solution Filtering from an Array.html |
82б |
| 90 |
172.97Кб |
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225.88Кб |
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596.75Кб |
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729.35Кб |
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805.33Кб |
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112.94Кб |
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877.39Кб |
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139.15Кб |
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463.92Кб |
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| TutsNode.com.txt |
63б |