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[FreeCourseLab.com] Udemy - Statistics for Data Science using Python
- Date: 2022-10-28
- Size: 1.3 GB
- Files: 25
File Name
Size
1. Introduction/1. Introduction to Data Science.mp4
42 MB
2. Calculating Mode/1. Calculating Mode.mp4
52 MB
2. Calculating Mode/2. Calculating Dispersion Measures.mp4
43 MB
2. Calculating Mode/3. Histogram Calculation.mp4
62 MB
2. Calculating Mode/4. Correlation Function.mp4
55 MB
2. Calculating Mode/5. Basic Concept of Statistics.mp4
30 MB
2. Calculating Mode/6. Pandas Data Frame.mp4
37 MB
3. Basic Techniques/1. Basic Reveration Techniques.mp4
59 MB
3. Basic Techniques/2. Using Numphy Techniques.mp4
56 MB
3. Basic Techniques/3. Summation of Elements.mp4
74 MB
4. Testing Method/1. Hypothetical Testing Method.mp4
52 MB
4. Testing Method/2. Differences in Numphy Package.mp4
48 MB
4. Testing Method/3. Calculating the Denominator.mp4
55 MB
5. Exclusive Events/1. Using Exclusive Events.mp4
54 MB
5. Exclusive Events/2. Finding the Measurement.mp4
58 MB
5. Exclusive Events/3. Implementing Test Scenarios.mp4
53 MB
6. Statistics for Data Science/1. Ordinary Least Square Regression Techniques.mp4
41 MB
6. Statistics for Data Science/2. Analyzing the Test Statistics.mp4
36 MB
6. Statistics for Data Science/3. Output of the Variables.mp4
58 MB
6. Statistics for Data Science/4. Multiple Explanatory Variables.mp4
67 MB
6. Statistics for Data Science/5. Fitting the Model.mp4
78 MB
6. Statistics for Data Science/6. Fitting the Model Continues.mp4
62 MB
6. Statistics for Data Science/7. Curve Fitting and Regression Fit Line.mp4
73 MB
6. Statistics for Data Science/8. Co efficient and Intercept Value.mp4
75 MB
[FreeCourseLab.com].url
126 B