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| [TGx]Downloaded from torrentgalaxy.to .txt |
585B |
| 0 |
577.04KB |
| 1 |
391.12KB |
| 1. Introduction to Exploratory Data Analysis.mp4 |
95.10MB |
| 1. Introduction to Inferential Statistics.mp4 |
80.58MB |
| 1. Introduction to Logistic Regression.mp4 |
42.38MB |
| 1. Introduction to Probability.mp4 |
92.41MB |
| 1. Introduction to Regression , What , Why and Types of Problem we can solve.mp4 |
90.99MB |
| 1. Introduction to Statistics.mp4 |
174.52MB |
| 1. Resampling Technique.mp4 |
59.97MB |
| 10 |
503.85KB |
| 10. 1 Sample t-test.mp4 |
39.54MB |
| 10. Bayes Theorem in Data Science.mp4 |
30.20MB |
| 10. Gradient Descent Hands On Part 2.mp4 |
75.82MB |
| 10. Hands On - Exercise with Python.mp4 |
67.22MB |
| 10. Project 21 - Solution.mp4 |
54.10MB |
| 10. Project 5 - Crimes in Boston City.mp4 |
41.25MB |
| 100 |
732.31KB |
| 101 |
800.21KB |
| 102 |
535.16KB |
| 103 |
656.14KB |
| 104 |
60.14KB |
| 105 |
514.52KB |
| 106 |
336.87KB |
| 107 |
317.53KB |
| 108 |
567.57KB |
| 109 |
832.80KB |
| 11 |
783.28KB |
| 11. 1 sample t-test Hands On.mp4 |
27.22MB |
| 11. Descriptive Statistics - Measures of Shape.mp4 |
166.92MB |
| 11. Hands On Bayes Algorithm in Python.mp4 |
91.42MB |
| 11. Project 14 - Hands On - Implementation of Linear Regression using StatsModels.mp4 |
20.76MB |
| 11. Project 22 - Nursery Student Dataset.mp4 |
20.81MB |
| 11. Project 5 - Solution.mp4 |
91.07MB |
| 110 |
42.04KB |
| 111 |
307.34KB |
| 112 |
390.71KB |
| 113 |
379.87KB |
| 114 |
663.66KB |
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1007.18KB |
| 116 |
192.12KB |
| 117 |
244.37KB |
| 118 |
719.49KB |
| 119 |
159.67KB |
| 12 |
165.64KB |
| 12. 2 Sample t-test.mp4 |
32.65MB |
| 12. Descriptive Statistics - Measures of Position.mp4 |
73.31MB |
| 12. Project 14 - Solution.mp4 |
103.33MB |
| 12. Project 22 - Solution.mp4 |
33.19MB |
| 12. Project 6 - PUBG Game Analysis.mp4 |
39.03MB |
| 12. Random Variables.mp4 |
94.97MB |
| 120 |
437.80KB |
| 121 |
830.68KB |
| 122 |
910.19KB |
| 123 |
324.39KB |
| 13 |
1003.91KB |
| 13. 2 sample t-test Hands On.mp4 |
31.68MB |
| 13. Descriptive Statistics - Standard Scores.mp4 |
94.37MB |
| 13. Project 15 - Salary Prediction Problem Statement.mp4 |
20.30MB |
| 13. Project 6 - PUBG Game Analysis - Solution.mp4 |
233.62MB |
| 13. Various Distribution functions.mp4 |
130.84MB |
| 14 |
151.63KB |
| 14. Descriptive Statistics - Hands On.mp4 |
68.31MB |
| 14. Hands ON Generate the Discrete & Continuous Random numbers.mp4 |
48.79MB |
| 14. Paired Sample t-test.mp4 |
24.67MB |
| 14. Project 15 - Solution.mp4 |
51.73MB |
| 14. Project 7 - FIFA Game Analysis.mp4 |
27.28MB |
| 15 |
185.38KB |
| 15. Central Limit Theorem and Hands On.mp4 |
47.43MB |
| 15. Hands On - Paired Sample t-test.mp4 |
34.61MB |
| 15. Problem Statement - Wine Reviews Data Set Analysis.mp4 |
26.36MB |
| 15. Project 16 - House Price Prediction Dataset.mp4 |
25.94MB |
| 15. Project 7 - Solution.mp4 |
70.50MB |
| 16 |
464.25KB |
| 16. Applications of Probability Distributions.mp4 |
37.26MB |
| 16. Chi-Square Goodness of Fit.mp4 |
37.99MB |
| 16. Project 16 - Solution.mp4 |
40.95MB |
| 16. Project 8 - Covid19 Data Analysis.mp4 |
22.70MB |
| 16. Solution for Project 1.mp4 |
93.07MB |
| 17 |
3.97KB |
| 17. Hands On - Chi Square test.mp4 |
21.63MB |
| 17. Hands On Transform the data to get Normal Distribution curve.mp4 |
121.55MB |
| 17. Project 17 - Medical Cost Prediction.mp4 |
23.19MB |
| 17. Project 2 - Customer Income Data Analysis.mp4 |
31.06MB |
| 17. Project 8 Solution.mp4 |
91.29MB |
| 18 |
374.63KB |
| 18. Anova.mp4 |
19.11MB |
| 18. Example Problems for Probability.mp4 |
61.10MB |
| 18. Project 17 Solution.mp4 |
59.11MB |
| 18. Solution for Project 2.mp4 |
56.62MB |
| 19 |
541.99KB |
| 19. Hands On - Anova.mp4 |
25.50MB |
| 19. Project 18 - Company Profit prediction.mp4 |
29.61MB |
| 19. Project 3 - US Arrests Dataset.mp4 |
23.69MB |
| 19. Project 9 - Cars Dataset & Solution.mp4 |
52.04MB |
| 2 |
977.92KB |
| 2. Assumptions of Linear Regression.mp4 |
26.48MB |
| 2. Cross validation Techniques Hands On.mp4 |
124.85MB |
| 2. Hands On - Logistic Regression Plot.mp4 |
54.34MB |
| 2. Key Terminology of Inferential Statistics.mp4 |
32.83MB |
| 2. Key Terminology of Probability.mp4 |
83.91MB |
| 2. Types of Data Analysis.mp4 |
45.98MB |
| 2. Types of Statistical Analysis - Descriptive Statistics.mp4 |
116.00MB |
| 20 |
860.41KB |
| 20. Hands On - Bayes Theorem.mp4 |
44.89MB |
| 20. Project 11 - Inferential Statistics - cars.mp4 |
23.45MB |
| 20. Project 18 - Solution.mp4 |
47.44MB |
| 20. Solution for Project 3 - US Arrests Dataset.mp4 |
72.06MB |
| 21 |
573.30KB |
| 21. Project 10 - Hands On - Normal Distribution & CDF.mp4 |
50.47MB |
| 21. Project 11 - Solution.mp4 |
42.39MB |
| 21. Project 4 - BigMart Sales data analysis.mp4 |
32.70MB |
| 22 |
689.66KB |
| 22. Project 12 - Blood Pressure health dataset.mp4 |
19.19MB |
| 22. Solution for Big Mart Data Analysis.mp4 |
80.48MB |
| 23 |
320.67KB |
| 23. Project 12 - Solution.mp4 |
22.96MB |
| 24 |
924.98KB |
| 24. Project 13 - Students admissions dataset.mp4 |
19.84MB |
| 25 |
33.04KB |
| 25. Project 13 - Solution.mp4 |
21.35MB |
| 26 |
649.83KB |
| 27 |
955.10KB |
| 28 |
71.34KB |
| 29 |
603.78KB |
| 3 |
487.95KB |
| 3. Assumptions of Logistic Regression.mp4 |
22.62MB |
| 3. Hands On - Population & Sample.mp4 |
42.27MB |
| 3. Intuition of Linear Regression.mp4 |
68.25MB |
| 3. Project 23 - Flight Price Prediction.mp4 |
27.39MB |
| 3. Rules of Probability.mp4 |
40.01MB |
| 3. Types of Statistical Analysis - Inferential Statistics.mp4 |
172.19MB |
| 3. Univariate Non Graphical EDA & Outlier Analysis.mp4 |
109.63MB |
| 30 |
593.69KB |
| 31 |
724.87KB |
| 32 |
949.69KB |
| 33 |
7.29KB |
| 34 |
27.76KB |
| 35 |
489.08KB |
| 36 |
93.74KB |
| 37 |
433.98KB |
| 38 |
531.36KB |
| 39 |
724.90KB |
| 4 |
832.89KB |
| 4. How Statistics and Machine Learning are Related.mp4 |
104.44MB |
| 4. Linear Regression with Normal Equation.mp4 |
58.44MB |
| 4. Logistic Regression from Scratch.mp4 |
78.81MB |
| 4. Marginal Probability , Joint Probability.mp4 |
139.51MB |
| 4. Project 23 Solution.mp4 |
138.24MB |
| 4. Types of Statistical Inference.mp4 |
79.29MB |
| 4. Univariate Graphical EDA & Hands On.mp4 |
167.41MB |
| 40 |
806.87KB |
| 41 |
189.77KB |
| 42 |
494.61KB |
| 43 |
185.83KB |
| 44 |
710.58KB |
| 45 |
762.92KB |
| 46 |
967.30KB |
| 47 |
507.49KB |
| 48 |
702.93KB |
| 49 |
767.92KB |
| 5 |
604.51KB |
| 5. Apply Linear Regression using Sklearn - Hands On.mp4 |
57.76MB |
| 5. Confidence Interval - Margin of Error - Confidence Interval Estimation.mp4 |
76.52MB |
| 5. Disjoint Events and Non Disjoint events.mp4 |
63.53MB |
| 5. Multivariate Non Graphical EDA.mp4 |
161.67MB |
| 5. Project 19 - Diabetes Prediction.mp4 |
18.68MB |
| 5. Project 24 - Concrete Compressive Strength.mp4 |
29.58MB |
| 5. Understanding the Types of Data.mp4 |
151.48MB |
| 50 |
186.20KB |
| 51 |
801.34KB |
| 52 |
454.31KB |
| 53 |
486.15KB |
| 54 |
979.41KB |
| 55 |
924.25KB |
| 56 |
32.77KB |
| 57 |
916.03KB |
| 58 |
578.11KB |
| 59 |
241.13KB |
| 6 |
80.71KB |
| 6. Checking Assumption of Linear Regression - Hands On.mp4 |
97.69MB |
| 6. Demo - Margin of Error and Confidence Interval.mp4 |
40.42MB |
| 6. Independent and Dependent events.mp4 |
64.56MB |
| 6. Multi variate Graphical EDA.mp4 |
106.47MB |
| 6. Project 19 - Solution.mp4 |
56.74MB |
| 6. Project 24 - Solution.mp4 |
92.93MB |
| 6. Sampling Techniques.mp4 |
198.04MB |
| 60 |
271.36KB |
| 61 |
391.93KB |
| 62 |
673.77KB |
| 63 |
916.87KB |
| 64 |
113.34KB |
| 65 |
986.98KB |
| 66 |
105.19KB |
| 67 |
275.02KB |
| 68 |
544.78KB |
| 69 |
779.07KB |
| 7 |
160.54KB |
| 7. Descriptive Statistics - Measure of Central Tendency.mp4 |
130.02MB |
| 7. How Good is your fit .mp4 |
33.95MB |
| 7. Hypothesis Testing & Steps of Hypothesis testing.mp4 |
63.04MB |
| 7. Product Rule of Dependent & Independent Events.mp4 |
106.16MB |
| 7. Project 20 - Heart Disease Prediction.mp4 |
21.02MB |
| 7. Project 25 - US Baseball Salary prediction.mp4 |
15.55MB |
| 7. Steps in EDA.mp4 |
67.82MB |
| 70 |
215.62KB |
| 71 |
575.25KB |
| 72 |
584.09KB |
| 73 |
18.03KB |
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107.77KB |
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625.80KB |
| 76 |
634.83KB |
| 77 |
745.17KB |
| 78 |
769.11KB |
| 79 |
55.15KB |
| 8 |
338.01KB |
| 8. Descriptive Statistics - Measures of Dispersion - Range & Interquartile Range.mp4 |
121.82MB |
| 8. How Minimisation of Error is performed - Gradient Descent.mp4 |
85.52MB |
| 8. Project 20 - Solution.mp4 |
51.90MB |
| 8. Project 25 - Solution.mp4 |
79.21MB |
| 8. Summary of Graphical EDA Techniques.mp4 |
33.30MB |
| 8. Task with Manifold Bank and compute probability.mp4 |
161.84MB |
| 8. ZTest and Example Problem.mp4 |
53.89MB |
| 80 |
591.32KB |
| 81 |
1017.70KB |
| 82 |
466.54KB |
| 83 |
990.88KB |
| 84 |
8.60KB |
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757.96KB |
| 86 |
401.94KB |
| 87 |
55.61KB |
| 88 |
712.01KB |
| 89 |
834.47KB |
| 9 |
534.14KB |
| 9. Bayes Theorem.mp4 |
49.24MB |
| 9. Descriptive Statistics - Measures of Dispersion - Variance & Standard Deviation.mp4 |
73.25MB |
| 9. Gradient Descent Hands On Part 1.mp4 |
88.97MB |
| 9. Hands On EDA on Titanic Data Set.mp4 |
340.44MB |
| 9. Project 21 - Titanic Survival Dataset.mp4 |
19.57MB |
| 9. ZTest Solution Hands On.mp4 |
30.72MB |
| 90 |
169.65KB |
| 91 |
307.75KB |
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359.27KB |
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325.29KB |
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287.77KB |
| 96 |
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401.86KB |
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430.08KB |
| 99 |
627.96KB |
| TutsNode.net.txt |
63B |