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| [TGx]Downloaded from torrentgalaxy.to .txt |
585б |
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| 1. Introduction to Exploratory Data Analysis.mp4 |
95.10Мб |
| 1. Introduction to Inferential Statistics.mp4 |
80.58Мб |
| 1. Introduction to Logistic Regression.mp4 |
42.38Мб |
| 1. Introduction to Probability.mp4 |
92.41Мб |
| 1. Introduction to Regression , What , Why and Types of Problem we can solve.mp4 |
90.99Мб |
| 1. Introduction to Statistics.mp4 |
174.52Мб |
| 1. Resampling Technique.mp4 |
59.97Мб |
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503.85Кб |
| 10. 1 Sample t-test.mp4 |
39.54Мб |
| 10. Bayes Theorem in Data Science.mp4 |
30.20Мб |
| 10. Gradient Descent Hands On Part 2.mp4 |
75.82Мб |
| 10. Hands On - Exercise with Python.mp4 |
67.22Мб |
| 10. Project 21 - Solution.mp4 |
54.10Мб |
| 10. Project 5 - Crimes in Boston City.mp4 |
41.25Мб |
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| 11. 1 sample t-test Hands On.mp4 |
27.22Мб |
| 11. Descriptive Statistics - Measures of Shape.mp4 |
166.92Мб |
| 11. Hands On Bayes Algorithm in Python.mp4 |
91.42Мб |
| 11. Project 14 - Hands On - Implementation of Linear Regression using StatsModels.mp4 |
20.76Мб |
| 11. Project 22 - Nursery Student Dataset.mp4 |
20.81Мб |
| 11. Project 5 - Solution.mp4 |
91.07Мб |
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165.64Кб |
| 12. 2 Sample t-test.mp4 |
32.65Мб |
| 12. Descriptive Statistics - Measures of Position.mp4 |
73.31Мб |
| 12. Project 14 - Solution.mp4 |
103.33Мб |
| 12. Project 22 - Solution.mp4 |
33.19Мб |
| 12. Project 6 - PUBG Game Analysis.mp4 |
39.03Мб |
| 12. Random Variables.mp4 |
94.97Мб |
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1003.91Кб |
| 13. 2 sample t-test Hands On.mp4 |
31.68Мб |
| 13. Descriptive Statistics - Standard Scores.mp4 |
94.37Мб |
| 13. Project 15 - Salary Prediction Problem Statement.mp4 |
20.30Мб |
| 13. Project 6 - PUBG Game Analysis - Solution.mp4 |
233.62Мб |
| 13. Various Distribution functions.mp4 |
130.84Мб |
| 14 |
151.63Кб |
| 14. Descriptive Statistics - Hands On.mp4 |
68.31Мб |
| 14. Hands ON Generate the Discrete & Continuous Random numbers.mp4 |
48.79Мб |
| 14. Paired Sample t-test.mp4 |
24.67Мб |
| 14. Project 15 - Solution.mp4 |
51.73Мб |
| 14. Project 7 - FIFA Game Analysis.mp4 |
27.28Мб |
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185.38Кб |
| 15. Central Limit Theorem and Hands On.mp4 |
47.43Мб |
| 15. Hands On - Paired Sample t-test.mp4 |
34.61Мб |
| 15. Problem Statement - Wine Reviews Data Set Analysis.mp4 |
26.36Мб |
| 15. Project 16 - House Price Prediction Dataset.mp4 |
25.94Мб |
| 15. Project 7 - Solution.mp4 |
70.50Мб |
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464.25Кб |
| 16. Applications of Probability Distributions.mp4 |
37.26Мб |
| 16. Chi-Square Goodness of Fit.mp4 |
37.99Мб |
| 16. Project 16 - Solution.mp4 |
40.95Мб |
| 16. Project 8 - Covid19 Data Analysis.mp4 |
22.70Мб |
| 16. Solution for Project 1.mp4 |
93.07Мб |
| 17 |
3.97Кб |
| 17. Hands On - Chi Square test.mp4 |
21.63Мб |
| 17. Hands On Transform the data to get Normal Distribution curve.mp4 |
121.55Мб |
| 17. Project 17 - Medical Cost Prediction.mp4 |
23.19Мб |
| 17. Project 2 - Customer Income Data Analysis.mp4 |
31.06Мб |
| 17. Project 8 Solution.mp4 |
91.29Мб |
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374.63Кб |
| 18. Anova.mp4 |
19.11Мб |
| 18. Example Problems for Probability.mp4 |
61.10Мб |
| 18. Project 17 Solution.mp4 |
59.11Мб |
| 18. Solution for Project 2.mp4 |
56.62Мб |
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541.99Кб |
| 19. Hands On - Anova.mp4 |
25.50Мб |
| 19. Project 18 - Company Profit prediction.mp4 |
29.61Мб |
| 19. Project 3 - US Arrests Dataset.mp4 |
23.69Мб |
| 19. Project 9 - Cars Dataset & Solution.mp4 |
52.04Мб |
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| 2. Assumptions of Linear Regression.mp4 |
26.48Мб |
| 2. Cross validation Techniques Hands On.mp4 |
124.85Мб |
| 2. Hands On - Logistic Regression Plot.mp4 |
54.34Мб |
| 2. Key Terminology of Inferential Statistics.mp4 |
32.83Мб |
| 2. Key Terminology of Probability.mp4 |
83.91Мб |
| 2. Types of Data Analysis.mp4 |
45.98Мб |
| 2. Types of Statistical Analysis - Descriptive Statistics.mp4 |
116.00Мб |
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860.41Кб |
| 20. Hands On - Bayes Theorem.mp4 |
44.89Мб |
| 20. Project 11 - Inferential Statistics - cars.mp4 |
23.45Мб |
| 20. Project 18 - Solution.mp4 |
47.44Мб |
| 20. Solution for Project 3 - US Arrests Dataset.mp4 |
72.06Мб |
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573.30Кб |
| 21. Project 10 - Hands On - Normal Distribution & CDF.mp4 |
50.47Мб |
| 21. Project 11 - Solution.mp4 |
42.39Мб |
| 21. Project 4 - BigMart Sales data analysis.mp4 |
32.70Мб |
| 22 |
689.66Кб |
| 22. Project 12 - Blood Pressure health dataset.mp4 |
19.19Мб |
| 22. Solution for Big Mart Data Analysis.mp4 |
80.48Мб |
| 23 |
320.67Кб |
| 23. Project 12 - Solution.mp4 |
22.96Мб |
| 24 |
924.98Кб |
| 24. Project 13 - Students admissions dataset.mp4 |
19.84Мб |
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33.04Кб |
| 25. Project 13 - Solution.mp4 |
21.35Мб |
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| 3. Assumptions of Logistic Regression.mp4 |
22.62Мб |
| 3. Hands On - Population & Sample.mp4 |
42.27Мб |
| 3. Intuition of Linear Regression.mp4 |
68.25Мб |
| 3. Project 23 - Flight Price Prediction.mp4 |
27.39Мб |
| 3. Rules of Probability.mp4 |
40.01Мб |
| 3. Types of Statistical Analysis - Inferential Statistics.mp4 |
172.19Мб |
| 3. Univariate Non Graphical EDA & Outlier Analysis.mp4 |
109.63Мб |
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832.89Кб |
| 4. How Statistics and Machine Learning are Related.mp4 |
104.44Мб |
| 4. Linear Regression with Normal Equation.mp4 |
58.44Мб |
| 4. Logistic Regression from Scratch.mp4 |
78.81Мб |
| 4. Marginal Probability , Joint Probability.mp4 |
139.51Мб |
| 4. Project 23 Solution.mp4 |
138.24Мб |
| 4. Types of Statistical Inference.mp4 |
79.29Мб |
| 4. Univariate Graphical EDA & Hands On.mp4 |
167.41Мб |
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604.51Кб |
| 5. Apply Linear Regression using Sklearn - Hands On.mp4 |
57.76Мб |
| 5. Confidence Interval - Margin of Error - Confidence Interval Estimation.mp4 |
76.52Мб |
| 5. Disjoint Events and Non Disjoint events.mp4 |
63.53Мб |
| 5. Multivariate Non Graphical EDA.mp4 |
161.67Мб |
| 5. Project 19 - Diabetes Prediction.mp4 |
18.68Мб |
| 5. Project 24 - Concrete Compressive Strength.mp4 |
29.58Мб |
| 5. Understanding the Types of Data.mp4 |
151.48Мб |
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| 6. Checking Assumption of Linear Regression - Hands On.mp4 |
97.69Мб |
| 6. Demo - Margin of Error and Confidence Interval.mp4 |
40.42Мб |
| 6. Independent and Dependent events.mp4 |
64.56Мб |
| 6. Multi variate Graphical EDA.mp4 |
106.47Мб |
| 6. Project 19 - Solution.mp4 |
56.74Мб |
| 6. Project 24 - Solution.mp4 |
92.93Мб |
| 6. Sampling Techniques.mp4 |
198.04Мб |
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| 7. Descriptive Statistics - Measure of Central Tendency.mp4 |
130.02Мб |
| 7. How Good is your fit .mp4 |
33.95Мб |
| 7. Hypothesis Testing & Steps of Hypothesis testing.mp4 |
63.04Мб |
| 7. Product Rule of Dependent & Independent Events.mp4 |
106.16Мб |
| 7. Project 20 - Heart Disease Prediction.mp4 |
21.02Мб |
| 7. Project 25 - US Baseball Salary prediction.mp4 |
15.55Мб |
| 7. Steps in EDA.mp4 |
67.82Мб |
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| 8. Descriptive Statistics - Measures of Dispersion - Range & Interquartile Range.mp4 |
121.82Мб |
| 8. How Minimisation of Error is performed - Gradient Descent.mp4 |
85.52Мб |
| 8. Project 20 - Solution.mp4 |
51.90Мб |
| 8. Project 25 - Solution.mp4 |
79.21Мб |
| 8. Summary of Graphical EDA Techniques.mp4 |
33.30Мб |
| 8. Task with Manifold Bank and compute probability.mp4 |
161.84Мб |
| 8. ZTest and Example Problem.mp4 |
53.89Мб |
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534.14Кб |
| 9. Bayes Theorem.mp4 |
49.24Мб |
| 9. Descriptive Statistics - Measures of Dispersion - Variance & Standard Deviation.mp4 |
73.25Мб |
| 9. Gradient Descent Hands On Part 1.mp4 |
88.97Мб |
| 9. Hands On EDA on Titanic Data Set.mp4 |
340.44Мб |
| 9. Project 21 - Titanic Survival Dataset.mp4 |
19.57Мб |
| 9. ZTest Solution Hands On.mp4 |
30.72Мб |
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| TutsNode.net.txt |
63б |