[FreeCourseLab.com] Udemy - Statistics for Data Science using Python

• [FreeCourseLab.com] Udemy - Statistics for Data Science using Python
• 1. Introduction/1. Introduction to Data Science.mp4 41.9 MB
• 2. Calculating Mode/1. Calculating Mode.mp4 52.3 MB
• 2. Calculating Mode/2. Calculating Dispersion Measures.mp4 42.8 MB
• 2. Calculating Mode/3. Histogram Calculation.mp4 62.2 MB
• 2. Calculating Mode/4. Correlation Function.mp4 54.9 MB
• 2. Calculating Mode/5. Basic Concept of Statistics.mp4 30.1 MB
• 2. Calculating Mode/6. Pandas Data Frame.mp4 36.8 MB
• 3. Basic Techniques/1. Basic Reveration Techniques.mp4 59.4 MB
• 3. Basic Techniques/2. Using Numphy Techniques.mp4 56 MB
• 3. Basic Techniques/3. Summation of Elements.mp4 73.6 MB
• 4. Testing Method/1. Hypothetical Testing Method.mp4 52 MB
• 4. Testing Method/2. Differences in Numphy Package.mp4 47.6 MB
• 4. Testing Method/3. Calculating the Denominator.mp4 55.4 MB
• 5. Exclusive Events/1. Using Exclusive Events.mp4 54.3 MB
• 5. Exclusive Events/2. Finding the Measurement.mp4 57.6 MB
• 5. Exclusive Events/3. Implementing Test Scenarios.mp4 53.2 MB
• 6. Statistics for Data Science/1. Ordinary Least Square Regression Techniques.mp4 40.6 MB
• 6. Statistics for Data Science/2. Analyzing the Test Statistics.mp4 36.3 MB
• 6. Statistics for Data Science/3. Output of the Variables.mp4 57.7 MB
• 6. Statistics for Data Science/4. Multiple Explanatory Variables.mp4 66.7 MB
• 6. Statistics for Data Science/5. Fitting the Model.mp4 77.5 MB
• 6. Statistics for Data Science/6. Fitting the Model Continues.mp4 62.5 MB
• 6. Statistics for Data Science/7. Curve Fitting and Regression Fit Line.mp4 73.3 MB
• 6. Statistics for Data Science/8. Co efficient and Intercept Value.mp4 74.7 MB

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