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| [TGx]Downloaded from torrentgalaxy.to .txt |
585B |
| 0 |
50B |
| 1 |
34B |
| 1.1 Machine1.csv |
803B |
| 1.1 Piece_Dim.csv |
1.60KB |
| 1.1 Section 2.ipynb |
11.70KB |
| 1.1 Section 3.ipynb |
198.87KB |
| 1.1 Section 5.ipynb |
870.36KB |
| 1.1 Section 6.ipynb |
71.28KB |
| 1.1 Two Machines.csv |
3.51KB |
| 1.2 Piece_Dim.csv |
1.60KB |
| 1.2 Section 4.ipynb |
104.71KB |
| 1.2 Section 8.ipynb |
124.04KB |
| 1.2 Smokers.csv |
1.39KB |
| 1.3 Section 7.ipynb |
66.26KB |
| 1. Download Section 2 Resources.html |
71B |
| 1. Download Section 3 Resources.html |
71B |
| 1. Download Section 4 Resources.html |
71B |
| 1. Download Section 5 Resources.html |
71B |
| 1. Download Section 6 Resources.html |
71B |
| 1. Download Section 7 Resources.html |
71B |
| 1. Download Section 8 Resources.html |
71B |
| 1. Installing Anaconda.mp4 |
59.61MB |
| 1. Installing Anaconda.srt |
9.18KB |
| 10 |
95.15KB |
| 10. [Theory] Types of Errors - Type I and Type II Errors.mp4 |
75.33MB |
| 10. [Theory] Types of Errors - Type I and Type II Errors.srt |
15.28KB |
| 10.1 Smokers.csv |
1.39KB |
| 10. DataFrame - Dealing with Rows.mp4 |
154.78MB |
| 10. DataFrame - Dealing with Rows.srt |
34.78KB |
| 10. One Proportion Test Using Python.mp4 |
81.59MB |
| 10. One Proportion Test Using Python.srt |
14.82KB |
| 10. Select a subsection of an Array.html |
133B |
| 10. Solution Find the Inter Quartile Range.html |
130B |
| 10. Solution Select an element from the list.html |
61B |
| 10. Two Sample t Test Using Python.mp4 |
48.29MB |
| 10. Two Sample t Test Using Python.srt |
7.69KB |
| 10. Visualizing the Titanic dataset.mp4 |
100.54MB |
| 10. Visualizing the Titanic dataset.srt |
22.98KB |
| 100 |
673.03KB |
| 101 |
109.97KB |
| 11 |
996.27KB |
| 11. [Theory] One Variance Test - Introduction.mp4 |
27.86MB |
| 11. [Theory] One Variance Test - Introduction.srt |
4.93KB |
| 11. [Theory] Paired t Test.mp4 |
89.01MB |
| 11. [Theory] Paired t Test.srt |
13.67KB |
| 11. [Theory] Types of Errors - Summary.mp4 |
89.60MB |
| 11. [Theory] Types of Errors - Summary.srt |
15.66KB |
| 11. Solution Select a subsection of an Array.html |
65B |
| 11. What is the Temperature on Monday.html |
133B |
| 11. Working with a List - Part 2.mp4 |
34.78MB |
| 11. Working with a List - Part 2.srt |
8.16KB |
| 12 |
573.70KB |
| 12. [Theory] Hypothesis Testing - An Overview.mp4 |
84.68MB |
| 12. [Theory] Hypothesis Testing - An Overview.srt |
15.41KB |
| 12. [Theory] One Variance Test - Example 1.mp4 |
53.29MB |
| 12. [Theory] One Variance Test - Example 1.srt |
9.18KB |
| 12. A review of lists.html |
133B |
| 12. NumPy - Part 3.mp4 |
73.15MB |
| 12. NumPy - Part 3.srt |
12.85KB |
| 12. Paired t Test Using Python.mp4 |
34.29MB |
| 12. Paired t Test Using Python.srt |
5.92KB |
| 12. Solution What is the Temperature on Monday.html |
449B |
| 13 |
447.28KB |
| 13. [Theory] One Variance Test - Example 2.mp4 |
62.73MB |
| 13. [Theory] One Variance Test - Example 2.srt |
7.20KB |
| 13. [Theory] Two Proportions Test - Introduction.mp4 |
52.67MB |
| 13. [Theory] Two Proportions Test - Introduction.srt |
7.57KB |
| 13. [Theory] Z Tables - Finding the Critical Values.mp4 |
100.09MB |
| 13. [Theory] Z Tables - Finding the Critical Values.srt |
10.92KB |
| 13. Divide the Array elements by 10.html |
133B |
| 13. Solution A review of lists.html |
72B |
| 14 |
731.21KB |
| 14. [Theory] The p-Value.mp4 |
51.89MB |
| 14. [Theory] The p-Value.srt |
5.34KB |
| 14. [Theory] Two Proportions Test - Pooled vs Unpooled Method.mp4 |
46.59MB |
| 14. [Theory] Two Proportions Test - Pooled vs Unpooled Method.srt |
5.22KB |
| 14. One Variance Test Using Python.mp4 |
69.46MB |
| 14. One Variance Test Using Python.srt |
12.08KB |
| 14. Solution Divide the array elements by 10.html |
63B |
| 14. Working with a Dictionary.mp4 |
42.92MB |
| 14. Working with a Dictionary.srt |
9.18KB |
| 15 |
406.15KB |
| 15. [Theory] Basics of Probability - Part 1.mp4 |
51.52MB |
| 15. [Theory] Basics of Probability - Part 1.srt |
10.30KB |
| 15. [Theory] Two Proportions Test - An Example of Pooled Method.mp4 |
59.70MB |
| 15. [Theory] Two Proportions Test - An Example of Pooled Method.srt |
10.63KB |
| 15. Quiz Hypothesis Testing Basics.html |
133B |
| 15. Quiz Hypothesis Testing Part 1.html |
133B |
| 15. Working with a Tuple.mp4 |
25.55MB |
| 15. Working with a Tuple.srt |
4.49KB |
| 16 |
1015.60KB |
| 16. [Theory] Basics of Probability - Part 2.mp4 |
88.90MB |
| 16. [Theory] Basics of Probability - Part 2.srt |
14.95KB |
| 16. Hypothesis Testing Using Python.mp4 |
102.52MB |
| 16. Hypothesis Testing Using Python.srt |
14.84KB |
| 16. Two Proportions Test Using Python.mp4 |
54.42MB |
| 16. Two Proportions Test Using Python.srt |
9.41KB |
| 16. Working with a Set.mp4 |
15.89MB |
| 16. Working with a Set.srt |
3.91KB |
| 17 |
103.45KB |
| 17. [Theory] Basics of Probability - Part 3.mp4 |
69.39MB |
| 17. [Theory] Basics of Probability - Part 3.srt |
11.64KB |
| 17. [Theory] Two Variances Test.mp4 |
95.03MB |
| 17. [Theory] Two Variances Test.srt |
16.30KB |
| 17. Logical Operators.mp4 |
28.14MB |
| 17. Logical Operators.srt |
5.13KB |
| 18 |
694.32KB |
| 18. Quiz Basics of Probability.html |
133B |
| 18. Two Variances Test Using Python.mp4 |
69.02MB |
| 18. Two Variances Test Using Python.srt |
15.11KB |
| 19 |
439.54KB |
| 19. [Theory] ANOVA - Introduction.mp4 |
40.01MB |
| 19. [Theory] ANOVA - Introduction.srt |
7.57KB |
| 19. Generating Random Numbers to Simulate the Probability.mp4 |
87.57MB |
| 19. Generating Random Numbers to Simulate the Probability.srt |
18.90KB |
| 2 |
897.71KB |
| 2. [Theory] Measurement of Central Tendency.mp4 |
80.00MB |
| 2. [Theory] Measurement of Central Tendency.srt |
10.75KB |
| 2. [Theory] Population vs Samples.mp4 |
60.31MB |
| 2. [Theory] Population vs Samples.srt |
10.08KB |
| 2. [Theory] Tests for means, variances and proportions - Introduction.mp4 |
96.48MB |
| 2. [Theory] Tests for means, variances and proportions - Introduction.srt |
11.08KB |
| 2. [Theory] Two Sample z Test - Introduction.mp4 |
32.21MB |
| 2. [Theory] Two Sample z Test - Introduction.srt |
7.14KB |
| 2.1 Section 3.ipynb |
198.52KB |
| 2.1 Section 4.ipynb |
104.71KB |
| 2.1 Section 6.ipynb |
71.28KB |
| 2.1 Section 7.ipynb |
66.26KB |
| 2.1 Section 8.ipynb |
124.04KB |
| 2. Getting started with Jupyter Notebook.mp4 |
51.84MB |
| 2. Getting started with Jupyter Notebook.srt |
11.82KB |
| 2. Histogram using matplotlib.pyplot.mp4 |
59.20MB |
| 2. Histogram using matplotlib.pyplot.srt |
12.88KB |
| 2. NumPy - Part 1.mp4 |
75.00MB |
| 2. NumPy - Part 1.srt |
20.80KB |
| 2. Pandas Series.mp4 |
86.99MB |
| 2. Pandas Series.srt |
14.31KB |
| 20 |
9.13KB |
| 20. [Theory] Why ANOVA.mp4 |
48.18MB |
| 20. [Theory] Why ANOVA.srt |
7.29KB |
| 20. A Sample Probability Question.mp4 |
57.65MB |
| 20. A Sample Probability Question.srt |
11.40KB |
| 21 |
826.28KB |
| 21. [Theory] ANOVA - Conceptual Understanding.mp4 |
39.11MB |
| 21. [Theory] ANOVA - Conceptual Understanding.srt |
10.23KB |
| 21. Generate Five Random Numbers.html |
133B |
| 22 |
329.18KB |
| 22. [Theory] Statistics behind ANOVA.mp4 |
36.83MB |
| 22. [Theory] Statistics behind ANOVA.srt |
9.18KB |
| 22. Solution Generate Five Random Numbers.html |
76B |
| 23 |
595.35KB |
| 23. [Theory] Performing ANOVA by Manual Calculations.mp4 |
75.03MB |
| 23. [Theory] Performing ANOVA by Manual Calculations.srt |
17.91KB |
| 23. [Theory] Probability Distributions - Introduction.mp4 |
41.87MB |
| 23. [Theory] Probability Distributions - Introduction.srt |
9.61KB |
| 24 |
629.70KB |
| 24. [Theory] Binomial Distribution.mp4 |
127.19MB |
| 24. [Theory] Binomial Distribution.srt |
18.73KB |
| 24. Conducting ANOVA Using Python.mp4 |
54.84MB |
| 24. Conducting ANOVA Using Python.srt |
8.77KB |
| 25 |
6.81KB |
| 25. Conducting ANOVA Using Python - mpg Dataset.mp4 |
77.87MB |
| 25. Conducting ANOVA Using Python - mpg Dataset.srt |
15.86KB |
| 25. Quiz Binomial Distribution.html |
133B |
| 26 |
686.93KB |
| 26. [Theory] Goodness of Fit.mp4 |
70.76MB |
| 26. [Theory] Goodness of Fit.srt |
15.06KB |
| 26. Binomial Distribution Using NumPy.mp4 |
73.61MB |
| 26. Binomial Distribution Using NumPy.srt |
16.93KB |
| 27 |
422.37KB |
| 27. Goodness of Fit Test Using Python.mp4 |
67.43MB |
| 27. Goodness of Fit Test Using Python.srt |
11.81KB |
| 27. Introducing SciPy Package for Binomial Distributions.mp4 |
108.05MB |
| 27. Introducing SciPy Package for Binomial Distributions.srt |
22.45KB |
| 28 |
783.38KB |
| 28. [Theory] Contingency Tables.mp4 |
57.63MB |
| 28. [Theory] Contingency Tables.srt |
13.73KB |
| 28. Flipping a Coin.html |
133B |
| 29 |
3.91KB |
| 29. Quiz Hypothesis Testing Part 2.html |
133B |
| 29. Solution Flipping a Coin.html |
72B |
| 3 |
749.72KB |
| 3. [Theory] Central Limit Theorem.mp4 |
68.29MB |
| 3. [Theory] Central Limit Theorem.srt |
12.87KB |
| 3. [Theory] Measurement of Dispersion - Part 1.mp4 |
62.52MB |
| 3. [Theory] Measurement of Dispersion - Part 1.srt |
8.79KB |
| 3. [Theory] One Sample Z Test - Conditions.mp4 |
50.06MB |
| 3. [Theory] One Sample Z Test - Conditions.srt |
9.62KB |
| 3. [Theory] Two Sample z Test - Example.mp4 |
40.46MB |
| 3. [Theory] Two Sample z Test - Example.srt |
7.31KB |
| 3.1 Section 1.ipynb |
36.00KB |
| 3.2 Python Statistics Slides.pdf |
2.85MB |
| 3. Box Plot using matplotlib.pyplot.mp4 |
74.61MB |
| 3. Box Plot using matplotlib.pyplot.srt |
13.63KB |
| 3. Download Section 1 Resources and the Course Slides.html |
168B |
| 3. Pandas DataFrame.mp4 |
52.90MB |
| 3. Pandas DataFrame.srt |
9.91KB |
| 3. Two Dimensional Array.html |
133B |
| 30 |
715.23KB |
| 30. Contingency Tables Using Python.mp4 |
95.91MB |
| 30. Contingency Tables Using Python.srt |
18.50KB |
| 30. Let's Flip Again.html |
133B |
| 31 |
129.21KB |
| 31. Solution Let's Flip Again.html |
104B |
| 32 |
219.80KB |
| 32. Number of defectives in a selection.html |
133B |
| 33 |
559.94KB |
| 33. Solution Number of defectives in a selection.html |
75B |
| 34 |
687.65KB |
| 34. [Theory] Poisson Distribution.mp4 |
69.78MB |
| 34. [Theory] Poisson Distribution.srt |
7.55KB |
| 35 |
877.78KB |
| 35. [Theory] Poisson Distributions - An Example.mp4 |
60.45MB |
| 35. [Theory] Poisson Distributions - An Example.srt |
7.21KB |
| 36 |
994.51KB |
| 36. Poisson Distribution Using NumPy.mp4 |
46.47MB |
| 36. Poisson Distribution Using NumPy.srt |
10.05KB |
| 37 |
1021.57KB |
| 37. Poisson Distribution Using SciPy.mp4 |
76.45MB |
| 37. Poisson Distribution Using SciPy.srt |
15.56KB |
| 38 |
398.84KB |
| 38. Receiving Phone Calls.html |
133B |
| 39 |
818.06KB |
| 39. Solution Receiving Phone Calls.html |
64B |
| 4 |
493.06KB |
| 4. [Theory] Measurement of Dispersion - Part 2.mp4 |
48.94MB |
| 4. [Theory] Measurement of Dispersion - Part 2.srt |
7.73KB |
| 4. [Theory] One Sample Z Test.mp4 |
83.39MB |
| 4. [Theory] One Sample Z Test.srt |
8.57KB |
| 4. Create a DataFrame.html |
133B |
| 4. Getting started with Python.mp4 |
69.41MB |
| 4. Getting started with Python.srt |
17.86KB |
| 4. Line and Scatter Plots using matplotlib.pyplot.mp4 |
54.07MB |
| 4. Line and Scatter Plots using matplotlib.pyplot.srt |
11.49KB |
| 4. Quiz Population vs Samples + Central Limit Theorem.html |
133B |
| 4. Solution Two Dimensional Array.html |
79B |
| 4. Two Sample z Test Using Python.mp4 |
66.82MB |
| 4. Two Sample z Test Using Python.srt |
15.09KB |
| 40 |
395.02KB |
| 40. Probability of more than 6 calls.html |
133B |
| 41 |
872.60KB |
| 41. Solution Probability of more than 6 calls.html |
67B |
| 42 |
246.29KB |
| 42. [Theory] Normal Distribution - Part 1.mp4 |
90.29MB |
| 42. [Theory] Normal Distribution - Part 1.srt |
14.27KB |
| 43 |
225.63KB |
| 43. [Theory] Normal Distribution - Part 2.mp4 |
82.99MB |
| 43. [Theory] Normal Distribution - Part 2.srt |
13.84KB |
| 44 |
555.15KB |
| 44. Quiz Normal Distrubution.html |
133B |
| 45 |
599.61KB |
| 45. Normal Distribution Using NumPy.mp4 |
74.20MB |
| 45. Normal Distribution Using NumPy.srt |
14.20KB |
| 46 |
627.84KB |
| 46. Normal Distribution Using SciPy.mp4 |
102.24MB |
| 46. Normal Distribution Using SciPy.srt |
15.61KB |
| 47 |
1007.52KB |
| 47. Area of curve between two values of z.html |
133B |
| 48 |
729.60KB |
| 48. Solution Area of curve between two values of z.html |
326B |
| 49 |
96.12KB |
| 49. Descriptive Statistics Using NumPy.mp4 |
62.66MB |
| 49. Descriptive Statistics Using NumPy.srt |
13.38KB |
| 5 |
781.65KB |
| 5. Bar Plot using matplotlib.pyplot.mp4 |
47.00MB |
| 5. Bar Plot using matplotlib.pyplot.srt |
11.04KB |
| 5. Central Limit Theorem - Using Python.mp4 |
127.85MB |
| 5. Central Limit Theorem - Using Python.srt |
22.82KB |
| 5. Creating a Numpy array.html |
133B |
| 5. One Sample Z Test - Examples.mp4 |
49.54MB |
| 5. One Sample Z Test - Examples.srt |
6.64KB |
| 5. Quiz Descriptive Statistics.html |
133B |
| 5. Solution Create a DataFrame.html |
447B |
| 5. Two Sample z Test Using Python - tips Dataset.mp4 |
55.76MB |
| 5. Two Sample z Test Using Python - tips Dataset.srt |
10.58KB |
| 5. Variables and Data Types.mp4 |
38.37MB |
| 5. Variables and Data Types.srt |
8.03KB |
| 50 |
584.82KB |
| 50. Mean of Rows.html |
133B |
| 51 |
187.19KB |
| 51. Solution Mean of Rows.html |
601B |
| 52 |
275.41KB |
| 53 |
348.41KB |
| 54 |
487.98KB |
| 55 |
488.07KB |
| 56 |
559.38KB |
| 57 |
705.52KB |
| 58 |
305.52KB |
| 59 |
401.12KB |
| 6 |
467.63KB |
| 6. [Theory] Basics of Hypothesis Testing.mp4 |
16.34MB |
| 6. [Theory] Basics of Hypothesis Testing.srt |
4.10KB |
| 6. [Theory] Two Sample t Test - Conditions and Calculations.mp4 |
59.12MB |
| 6. [Theory] Two Sample t Test - Conditions and Calculations.srt |
12.30KB |
| 6.1 Machine1.csv |
803B |
| 6.1 Piece_Dim.csv |
1.60KB |
| 6. Descriptive Statistics Using Python.mp4 |
85.19MB |
| 6. Descriptive Statistics Using Python.srt |
17.81KB |
| 6. Introduction to coding exercises.html |
133B |
| 6. One Sample Z Test Using Python.mp4 |
90.56MB |
| 6. One Sample Z Test Using Python.srt |
19.31KB |
| 6. Reading a .csv File (Importing External Data).mp4 |
79.30MB |
| 6. Reading a .csv File (Importing External Data).srt |
16.66KB |
| 6. Saving the plot as .png or .jpg.mp4 |
34.42MB |
| 6. Saving the plot as .png or .jpg.srt |
5.45KB |
| 6. Solution Creating a Numpy array.html |
93B |
| 60 |
823.03KB |
| 61 |
905.34KB |
| 62 |
356.32KB |
| 63 |
383.81KB |
| 64 |
245.85KB |
| 65 |
163.31KB |
| 66 |
595.53KB |
| 67 |
951.40KB |
| 68 |
723.02KB |
| 69 |
101.99KB |
| 7 |
936.39KB |
| 7. [Theory] Statistical and Practical Significance.mp4 |
38.26MB |
| 7. [Theory] Statistical and Practical Significance.srt |
7.99KB |
| 7. [Theory] Two Sample t Test - Equal Variance.mp4 |
88.32MB |
| 7. [Theory] Two Sample t Test - Equal Variance.srt |
11.28KB |
| 7. Find the mean, mode, median and standard deviation.html |
133B |
| 7. Importing a CSV file.html |
133B |
| 7. NumPy - Part 2.mp4 |
75.14MB |
| 7. NumPy - Part 2.srt |
15.80KB |
| 7. One Sample t Test.mp4 |
82.33MB |
| 7. One Sample t Test.srt |
11.75KB |
| 7. Seaborn - Displot group of plots.mp4 |
76.79MB |
| 7. Seaborn - Displot group of plots.srt |
18.82KB |
| 7. Solution Introduction to coding exercises.html |
96B |
| 70 |
342.87KB |
| 71 |
110.41KB |
| 72 |
160.23KB |
| 73 |
489.80KB |
| 74 |
965.41KB |
| 75 |
475.60KB |
| 76 |
64.00KB |
| 77 |
731.28KB |
| 78 |
843.86KB |
| 79 |
4.85KB |
| 8 |
529.76KB |
| 8. [Theory] Null and Alternate Hypothesis.mp4 |
21.61MB |
| 8. [Theory] Null and Alternate Hypothesis.srt |
4.30KB |
| 8. [Theory] Two Sample t Test - Unequal Variance.mp4 |
104.27MB |
| 8. [Theory] Two Sample t Test - Unequal Variance.srt |
14.62KB |
| 8. Filtering from an Array.html |
133B |
| 8. One Sample t Test Using Python.mp4 |
29.89MB |
| 8. One Sample t Test Using Python.srt |
6.02KB |
| 8. Seaborn - Catplot group of plots.mp4 |
67.91MB |
| 8. Seaborn - Catplot group of plots.srt |
15.26KB |
| 8. Solution Find the mean, mode, median and standard deviation.html |
179B |
| 8. Solution Importing a CSV file.html |
98B |
| 8. Working with a List - Part 1.mp4 |
83.42MB |
| 8. Working with a List - Part 1.srt |
21.09KB |
| 80 |
419.64KB |
| 81 |
542.17KB |
| 82 |
79.84KB |
| 83 |
136.84KB |
| 84 |
551.10KB |
| 85 |
1016.87KB |
| 86 |
906.57KB |
| 87 |
650.05KB |
| 88 |
754.47KB |
| 89 |
378.91KB |
| 9 |
613.42KB |
| 9. [Theory] Hypothesis Testing - A Simple Introduction.mp4 |
96.40MB |
| 9. [Theory] Hypothesis Testing - A Simple Introduction.srt |
15.75KB |
| 9. [Theory] One Proportion Test.mp4 |
93.44MB |
| 9. [Theory] One Proportion Test.srt |
15.70KB |
| 9. [Theory] Two Sample t Test - Visual Interpretation.mp4 |
37.63MB |
| 9. [Theory] Two Sample t Test - Visual Interpretation.srt |
6.85KB |
| 9. DataFrame - Dealing with Columns.mp4 |
62.52MB |
| 9. DataFrame - Dealing with Columns.srt |
13.76KB |
| 9. Find the Inter Quartile Range.html |
133B |
| 9. Seaborn - Relplot group of plots.mp4 |
81.23MB |
| 9. Seaborn - Relplot group of plots.srt |
12.42KB |
| 9. Select an element from the list.html |
133B |
| 9. Solution Filtering from an Array.html |
82B |
| 90 |
172.97KB |
| 91 |
225.88KB |
| 92 |
596.75KB |
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729.35KB |
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805.33KB |
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112.94KB |
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877.39KB |
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139.15KB |
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463.92KB |
| 99 |
402.39KB |
| TutsNode.com.txt |
63B |