Udemy - Statistics for Data Science using Python
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Torrent File Content (25 files)
[FreeCourseLab.com] Udemy - Statistics for Data Science using Python
1. Introduction
1. Introduction to Data Science.mp4 -
1. Introduction
1. Introduction to Data Science.mp4 -
41.94 MB
2. Calculating Mode
1. Calculating Mode.mp4 -
1. Calculating Mode.mp4 -
52.27 MB
2. Calculating Dispersion Measures.mp4 -
42.77 MB
3. Histogram Calculation.mp4 -
62.16 MB
4. Correlation Function.mp4 -
54.91 MB
5. Basic Concept of Statistics.mp4 -
30.14 MB
6. Pandas Data Frame.mp4 -
36.79 MB
3. Basic Techniques
1. Basic Reveration Techniques.mp4 -
1. Basic Reveration Techniques.mp4 -
59.4 MB
2. Using Numphy Techniques.mp4 -
55.97 MB
3. Summation of Elements.mp4 -
73.62 MB
4. Testing Method
1. Hypothetical Testing Method.mp4 -
1. Hypothetical Testing Method.mp4 -
51.99 MB
2. Differences in Numphy Package.mp4 -
47.58 MB
3. Calculating the Denominator.mp4 -
55.41 MB
5. Exclusive Events
1. Using Exclusive Events.mp4 -
1. Using Exclusive Events.mp4 -
54.27 MB
2. Finding the Measurement.mp4 -
57.59 MB
3. Implementing Test Scenarios.mp4 -
53.18 MB
6. Statistics for Data Science
1. Ordinary Least Square Regression Techniques.mp4 -
1. Ordinary Least Square Regression Techniques.mp4 -
40.58 MB
2. Analyzing the Test Statistics.mp4 -
36.3 MB
3. Output of the Variables.mp4 -
57.72 MB
4. Multiple Explanatory Variables.mp4 -
66.72 MB
5. Fitting the Model.mp4 -
77.54 MB
6. Fitting the Model Continues.mp4 -
62.55 MB
7. Curve Fitting and Regression Fit Line.mp4 -
73.26 MB
8. Co efficient and Intercept Value.mp4 -
74.67 MB
[FreeCourseLab.com].url -
126 bytes
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