[FreeCourseLab com] Udemy Data Science with Python Torrent Download Locations

[FreeCourseLab.com] Udemy - Data Science with Python
    1. Introduction
          1. Introduction to Data Visualization.mp4 -

          1. Introduction to Data Visualization.vtt -

    2. What is Data Science
          1. Understanding Data Science.mp4 -

          1. Understanding Data Science.vtt -

          2. Python Environment Framework.mp4 -

          2. Python Environment Framework.vtt -

          3. Various Python Scripts.mp4 -

          3. Various Python Scripts.vtt -

    3. Advanced Python
          1. Concept of Advanced Python.mp4 -

          1. Concept of Advanced Python.vtt -

          2. Creating Functions for Python.mp4 -

          2. Creating Functions for Python.vtt -

          3. Creating a New Library.mp4 -

          3. Creating a New Library.vtt -

          4. Creating Bar Charts.mp4 -

          4. Creating Bar Charts.vtt -

          5. Analysis on Line Chart.mp4 -

          5. Analysis on Line Chart.vtt -

          6. Understanding Scattered Plots.mp4 -

          6. Understanding Scattered Plots.vtt -

    4. Linear Algebra
          1. Vector Spaces in Linear Algebra.mp4 -

          1. Vector Spaces in Linear Algebra.vtt -

          2. Matrices in Linear Algebra.mp4 -

          2. Matrices in Linear Algebra.vtt -

          3. Analysing Statistical Data.mp4 -

          3. Analysing Statistical Data.vtt -

          4. Understanding Central Tendencies.mp4 -

          4. Understanding Central Tendencies.vtt -

          5. Dispersion for Data.mp4 -

          5. Dispersion for Data.vtt -

    5. Probability
          1. Probability in Discreet Mathematics.mp4 -

          1. Probability in Discreet Mathematics.vtt -

          10. Line of Best Fit.mp4 -

          10. Line of Best Fit.vtt -

          11. Datascience with Gradient Descent.mp4 -

          11. Datascience with Gradient Descent.vtt -

          12. Example on Gradient Descent.mp4 -

          12. Example on Gradient Descent.vtt -

          2. Normal Distribution Curve.mp4 -

          2. Normal Distribution Curve.vtt -

          3. Example for Normal Distribution Curve.mp4 -

          3. Example for Normal Distribution Curve.vtt -

          4. Central Limit Theorem.mp4 -

          4. Central Limit Theorem.vtt -

          5. Concept of Hypothesis.mp4 -

          5. Concept of Hypothesis.vtt -

          6. Example on Hypothesis Testing.mp4 -

          6. Example on Hypothesis Testing.vtt -

          7. Defining the Next Value.mp4 -

          7. Defining the Next Value.vtt -

          8. Principle of P Hacking.mp4 -

          8. Principle of P Hacking.vtt -

          9. Understanding Bayesian Inference.mp4 -

          9. Understanding Bayesian Inference.vtt -

    6. Gradient Descent
          1. Value Import.mp4 -

          1. Value Import.vtt -

          2. Output Functions for Gradient.mp4 -

          2. Output Functions for Gradient.vtt -

          3. Working with Data Analysis.mp4 -

          3. Working with Data Analysis.vtt -

          4. Creating Normal Histogram.mp4 -

          4. Creating Normal Histogram.vtt -

          5. Two Dimensional Graph.mp4 -

          5. Two Dimensional Graph.vtt -

          6. Multiple Scatter Plots.mp4 -

          6. Multiple Scatter Plots.vtt -

          7. Analyzing Data Sets.mp4 -

          7. Analyzing Data Sets.vtt -

          8. Learnig Box Plots.mp4 -

          8. Learnig Box Plots.vtt -

    7. Conclusion
          1. Overview and Conclusion.mp4 -

          1. Overview and Conclusion.vtt -

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