[FreeCourseSite.com] Udemy - Complete Python Data Science, Deep Learning, R Programming

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    [FreeCourseSite.com] Udemy - Complete Python Data Science, Deep Learning, R Programming

  1. 27. Data Transformation in R/3. Filtering Rows with Filter Function in R programming.mp4 173.74 MB
  2. 18. Projects Python projects, Data science projects, machine learning/2. Project - 2.mp4 173.38 MB
  3. 11. Geoplotlib/3.1 world_cities_pop.csv 160.47 MB
  4. 12. Data Science Hands-On Projects/6. Answer for Housing and Property Sales Project.mp4 158.76 MB
  5. 12. Data Science Hands-On Projects/8. Answers for English Premier League Project.mp4 157.24 MB
  6. 13. Machine Learning/15. Choosing the right algorithm and model in deep learning.mp4 152.48 MB
  7. 27. Data Transformation in R/6. Grouped Summaries with Summarize Function in R.mp4 152.19 MB
  8. 12. Data Science Hands-On Projects/4. Bike Sharing Project Answers.mp4 150.83 MB
  9. 25. Data Frames/3. Manipulating Values in DF.mp4 148.76 MB
  10. 20. Data Management in R/3. Graphs and Charts in Python data science.mp4 143.21 MB
  11. 26. Factors in R/2. Manipulating Categorical Data with Forcats in R.mp4 135.91 MB
  12. 27. Data Transformation in R/4. Arranging Rows with Arrange Function in R.mp4 132.47 MB
  13. 9. Matplotlib/8. Basic Plots in Matplotlib I.mp4 106.90 MB
  14. 8. Data Frame with Pandas/9. Combining Data Frames in Pandas.mp4 106.10 MB
  15. 18. Projects Python projects, Data science projects, machine learning/1. Project - 1.mp4 104.03 MB
  16. 10. Seaborn/5. Basic Plots in Seaborn.mp4 95.00 MB
  17. 12. Data Science Hands-On Projects/2. Titanic Project Answers in python projects.mp4 91.14 MB
  18. 13. Machine Learning/12. Unsupervised Machine Learning Methods.mp4 90.06 MB
  19. 17. Transfer Learning/1. What is Transfer Learning.mp4 87.39 MB
  20. 8. Data Frame with Pandas/10. Combining Data Frames Part – II.mp4 86.23 MB
  21. 13. Machine Learning/16. Training and testing the model.mp4 86.01 MB
  22. 25. Data Frames/5. Tibbles in R.mp4 85.73 MB
  23. 18. Projects Python projects, Data science projects, machine learning/3. Project - 3.mp4 84.35 MB
  24. 8. Data Frame with Pandas/1. Data Frame Attributes and Methods.mp4 81.68 MB
  25. 14. Artificial Neural Network/3. Creating a Simple ANN in Artificial intelligence.mp4 81.42 MB
  26. 8. Data Frame with Pandas/6. Missing Data and Data Munging in Pandas.mp4 81.25 MB
  27. 11. Geoplotlib/3. Example - 2.mp4 78.09 MB
  28. 27. Data Transformation in R/1. Introduction to Data Transformation.mp4 78.05 MB
  29. 7. Pandas Using Pandas for Data Manipulation/2. Series and Features.mp4 76.08 MB
  30. 6. Using Numpy for Data Manipulation/5. Numpy Exercises.mp4 75.95 MB
  31. 15. Convolutional Neural Network (CNN)/1. What is CNN.mp4 74.11 MB
  32. 18. Projects Python projects, Data science projects, machine learning/4. Project - 4.mp4 74.00 MB
  33. 25. Data Frames/1. Introduction to Data Frames.mp4 72.69 MB
  34. 8. Data Frame with Pandas/11. Work with Dataset Files in Pandas.mp4 72.46 MB
  35. 13. Machine Learning/11. Supervised Machine Learning Methods - 4.mp4 71.99 MB
  36. 8. Data Frame with Pandas/8. How We Deal with Missing Data.mp4 70.89 MB
  37. 23. Arrays in R/2. Subsections of an Array in r programming.mp4 70.07 MB
  38. 3. Fundamentals of Python/5. Lists, Tuples, Dictionaries and Sets in Python.mp4 67.94 MB
  39. 9. Matplotlib/4. Figure, Subplot and Axes in Matplotlib.mp4 67.23 MB
  40. 27. Data Transformation in R/5. Adding New Variables with Mutate Function in R.mp4 64.66 MB
  41. 14. Artificial Neural Network/8. What is TensorFlow.mp4 64.11 MB
  42. 14. Artificial Neural Network/4. Tensor Operations in Artificial intelligence.mp4 63.60 MB
  43. 27. Data Transformation in R/2. Select Columns with Select Function in R programming.mp4 62.04 MB
  44. 24. Matrices in R programming/3. Calculating With Matrices in Python Data science.mp4 60.52 MB
  45. 9. Matplotlib/5. Figure Customization in Matplotlib.mp4 60.47 MB
  46. 4. Object Oriented Programming/5. Overriding and Overloading in OOP.mp4 60.28 MB
  47. 8. Data Frame with Pandas/2. Data Frame Attributes and Methods Part – II.mp4 58.33 MB
  48. 10. Seaborn/7. Regression Plots and Squarify in Seaborn.mp4 57.86 MB
  49. 13. Machine Learning/10. Supervised Machine Learning Methods - 3.mp4 57.42 MB
  50. 13. Machine Learning/9. Supervised Machine Learning Methods - 2.mp4 56.70 MB