[FreeCourseLab.com] Udemy - Data Science with Python

Creation Time	Sept. 10, 2023, 7:19 p.m.
Last Access Time	Oct. 24, 2024, 11:42 a.m.
File Size	1.3 GB
Keywords	Data with Science - Udemy Python FreeCourseLab com
Total Requests	36
Total Files	73
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6. Gradient Descent/4. Creating Normal Histogram.mp4 65.0 MB
4. Linear Algebra/4. Understanding Central Tendencies.mp4 63.0 MB
5. Probability/7. Defining the Next Value.mp4 59.6 MB
6. Gradient Descent/1. Value Import.mp4 58.8 MB
6. Gradient Descent/3. Working with Data Analysis.mp4 56.2 MB
4. Linear Algebra/2. Matrices in Linear Algebra.mp4 53.0 MB
6. Gradient Descent/2. Output Functions for Gradient.mp4 51.7 MB
5. Probability/6. Example on Hypothesis Testing.mp4 49.3 MB
6. Gradient Descent/5. Two Dimensional Graph.mp4 49.1 MB
6. Gradient Descent/6. Multiple Scatter Plots.mp4 45.5 MB
5. Probability/2. Normal Distribution Curve.mp4 43.7 MB
6. Gradient Descent/8. Learnig Box Plots.mp4 39.9 MB
3. Advanced Python/4. Creating Bar Charts.mp4 39.0 MB
5. Probability/4. Central Limit Theorem.mp4 36.8 MB
4. Linear Algebra/1. Vector Spaces in Linear Algebra.mp4 35.4 MB
3. Advanced Python/6. Understanding Scattered Plots.mp4 35.1 MB
6. Gradient Descent/7. Analyzing Data Sets.mp4 34.6 MB
4. Linear Algebra/5. Dispersion for Data.mp4 34.3 MB
5. Probability/3. Example for Normal Distribution Curve.mp4 32.5 MB
5. Probability/12. Example on Gradient Descent.mp4 31.7 MB
5. Probability/10. Line of Best Fit.mp4 30.6 MB
3. Advanced Python/5. Analysis on Line Chart.mp4 30.3 MB
4. Linear Algebra/3. Analysing Statistical Data.mp4 29.1 MB
2. What is Data Science/3. Various Python Scripts.mp4 28.7 MB
5. Probability/9. Understanding Bayesian Inference.mp4 27.9 MB
2. What is Data Science/2. Python Environment Framework.mp4 27.5 MB
5. Probability/8. Principle of P Hacking.mp4 27.4 MB
3. Advanced Python/1. Concept of Advanced Python.mp4 26.5 MB
5. Probability/5. Concept of Hypothesis.mp4 26.2 MB
3. Advanced Python/2. Creating Functions for Python.mp4 23.6 MB
3. Advanced Python/3. Creating a New Library.mp4 22.8 MB
5. Probability/1. Probability in Discreet Mathematics.mp4 20.6 MB
2. What is Data Science/1. Understanding Data Science.mp4 18.0 MB
1. Introduction/1. Introduction to Data Visualization.mp4 17.0 MB
5. Probability/11. Datascience with Gradient Descent.mp4 13.8 MB
7. Conclusion/1. Overview and Conclusion.mp4 13.0 MB
4. Linear Algebra/2. Matrices in Linear Algebra.vtt 10.0 KB
4. Linear Algebra/4. Understanding Central Tendencies.vtt 9.8 KB
6. Gradient Descent/3. Working with Data Analysis.vtt 8.4 KB
3. Advanced Python/4. Creating Bar Charts.vtt 7.6 KB
5. Probability/7. Defining the Next Value.vtt 7.6 KB
5. Probability/2. Normal Distribution Curve.vtt 6.7 KB
5. Probability/6. Example on Hypothesis Testing.vtt 6.5 KB
2. What is Data Science/3. Various Python Scripts.vtt 6.4 KB
6. Gradient Descent/4. Creating Normal Histogram.vtt 6.4 KB
4. Linear Algebra/1. Vector Spaces in Linear Algebra.vtt 6.4 KB
3. Advanced Python/1. Concept of Advanced Python.vtt 6.2 KB
5. Probability/4. Central Limit Theorem.vtt 6.2 KB
6. Gradient Descent/1. Value Import.vtt 6.1 KB
4. Linear Algebra/3. Analysing Statistical Data.vtt 6.0 KB
6. Gradient Descent/6. Multiple Scatter Plots.vtt 6.0 KB
2. What is Data Science/1. Understanding Data Science.vtt 5.8 KB
3. Advanced Python/6. Understanding Scattered Plots.vtt 5.7 KB
6. Gradient Descent/8. Learnig Box Plots.vtt 5.6 KB
6. Gradient Descent/5. Two Dimensional Graph.vtt 5.6 KB
3. Advanced Python/5. Analysis on Line Chart.vtt 5.6 KB
6. Gradient Descent/2. Output Functions for Gradient.vtt 5.5 KB
6. Gradient Descent/7. Analyzing Data Sets.vtt 5.5 KB
4. Linear Algebra/5. Dispersion for Data.vtt 5.3 KB
5. Probability/3. Example for Normal Distribution Curve.vtt 5.1 KB
5. Probability/9. Understanding Bayesian Inference.vtt 5.1 KB
2. What is Data Science/2. Python Environment Framework.vtt 4.9 KB
5. Probability/12. Example on Gradient Descent.vtt 4.8 KB
1. Introduction/1. Introduction to Data Visualization.vtt 4.8 KB
3. Advanced Python/3. Creating a New Library.vtt 4.7 KB
3. Advanced Python/2. Creating Functions for Python.vtt 4.4 KB
5. Probability/8. Principle of P Hacking.vtt 4.3 KB
5. Probability/10. Line of Best Fit.vtt 4.3 KB
5. Probability/1. Probability in Discreet Mathematics.vtt 4.3 KB
5. Probability/5. Concept of Hypothesis.vtt 4.1 KB
7. Conclusion/1. Overview and Conclusion.vtt 4.0 KB
5. Probability/11. Datascience with Gradient Descent.vtt 3.7 KB
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[FreeCourseLab.com] Udemy - Data Science with Python

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