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1. Introduction/1. Introduction to Data Visualization.mp4
17.02MB
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1. Introduction/1. Introduction to Data Visualization.vtt
4.82KB
2. What is Data Science/1. Understanding Data Science.mp4
17.99MB
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2. What is Data Science/1. Understanding Data Science.vtt
5.8KB
2. What is Data Science/2. Python Environment Framework.mp4
27.52MB
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2. What is Data Science/2. Python Environment Framework.vtt
4.91KB
2. What is Data Science/3. Various Python Scripts.mp4
28.71MB
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2. What is Data Science/3. Various Python Scripts.vtt
6.43KB
3. Advanced Python/1. Concept of Advanced Python.mp4
26.51MB
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3. Advanced Python/1. Concept of Advanced Python.vtt
6.22KB
3. Advanced Python/2. Creating Functions for Python.mp4
23.6MB
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3. Advanced Python/2. Creating Functions for Python.vtt
4.41KB
3. Advanced Python/3. Creating a New Library.mp4
22.83MB
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3. Advanced Python/3. Creating a New Library.vtt
4.67KB
3. Advanced Python/4. Creating Bar Charts.mp4
38.97MB
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3. Advanced Python/4. Creating Bar Charts.vtt
7.63KB
3. Advanced Python/5. Analysis on Line Chart.mp4
30.3MB
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3. Advanced Python/5. Analysis on Line Chart.vtt
5.56KB
3. Advanced Python/6. Understanding Scattered Plots.mp4
35.1MB
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3. Advanced Python/6. Understanding Scattered Plots.vtt
5.72KB
4. Linear Algebra/1. Vector Spaces in Linear Algebra.mp4
35.45MB
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4. Linear Algebra/1. Vector Spaces in Linear Algebra.vtt
6.36KB
4. Linear Algebra/2. Matrices in Linear Algebra.mp4
52.98MB
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4. Linear Algebra/2. Matrices in Linear Algebra.vtt
9.97KB
4. Linear Algebra/3. Analysing Statistical Data.mp4
29.1MB
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4. Linear Algebra/3. Analysing Statistical Data.vtt
6.03KB
4. Linear Algebra/4. Understanding Central Tendencies.mp4
62.96MB
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4. Linear Algebra/4. Understanding Central Tendencies.vtt
9.76KB
4. Linear Algebra/5. Dispersion for Data.mp4
34.34MB
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5.28KB
5. Probability/1. Probability in Discreet Mathematics.mp4
20.58MB
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4.25KB
5. Probability/10. Line of Best Fit.mp4
30.57MB
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4.25KB
5. Probability/11. Datascience with Gradient Descent.mp4
13.8MB
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3.74KB
5. Probability/12. Example on Gradient Descent.mp4
31.69MB
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4.84KB
5. Probability/2. Normal Distribution Curve.mp4
43.69MB
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6.68KB
5. Probability/3. Example for Normal Distribution Curve.mp4
32.54MB
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5.13KB
5. Probability/4. Central Limit Theorem.mp4
36.85MB
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6.19KB
5. Probability/5. Concept of Hypothesis.mp4
26.2MB
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4.08KB
5. Probability/6. Example on Hypothesis Testing.mp4
49.32MB
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6.49KB
5. Probability/7. Defining the Next Value.mp4
59.61MB
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7.62KB
5. Probability/8. Principle of P Hacking.mp4
27.36MB
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4.28KB
5. Probability/9. Understanding Bayesian Inference.mp4
27.87MB
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5.05KB
6. Gradient Descent/1. Value Import.mp4
58.82MB
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6.06KB
6. Gradient Descent/2. Output Functions for Gradient.mp4
51.69MB
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5.5KB
6. Gradient Descent/3. Working with Data Analysis.mp4
56.17MB
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8.37KB
6. Gradient Descent/4. Creating Normal Histogram.mp4
64.95MB
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6. Gradient Descent/4. Creating Normal Histogram.vtt
6.41KB
6. Gradient Descent/5. Two Dimensional Graph.mp4
49.08MB
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6. Gradient Descent/5. Two Dimensional Graph.vtt
5.61KB
6. Gradient Descent/6. Multiple Scatter Plots.mp4
45.54MB
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6. Gradient Descent/6. Multiple Scatter Plots.vtt
5.97KB
6. Gradient Descent/7. Analyzing Data Sets.mp4
34.61MB
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6. Gradient Descent/7. Analyzing Data Sets.vtt
5.5KB
6. Gradient Descent/8. Learnig Box Plots.mp4
39.86MB
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6. Gradient Descent/8. Learnig Box Plots.vtt
5.65KB
7. Conclusion/1. Overview and Conclusion.mp4
12.99MB
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7. Conclusion/1. Overview and Conclusion.vtt
3.99KB
[FreeCourseLab.com].url
126B
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