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Data Analysis And Machine Learning Python Gpt 3 5 and Gpt 4 FreeCourseWeb

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Files:
  1. Get Bonus Downloads Here.url 183 bytes
  2. 1 - Install Python and Jupyter Notebook.html 214 bytes
  3. 1 - Mac.pdf 1.5 MB
  4. 1 - Windows.pdf 929.7 KB
  5. 2 - Setting up ChatGPT and GPT 4.mp4 6.9 MB
  6. 3 - Download Practice datasets.html 303 bytes
  7. Cleaned_Data.xlsx 74.6 KB
  8. Data+for+cleaning.xlsx 74.4 KB
  9. data+1.xlsx 41.9 KB
  10. data+2.xlsx 45.2 KB
  11. practice_filtering+data.xlsx 11.5 KB
  12. Extra Data.xlsx 10.5 KB
  13. Extra Variable.xlsx 33.0 KB
  14. sales data.xlsx 85.0 KB
  15. _Cleaned_Data.xlsx 868 bytes
  16. _Data+for+cleaning.xlsx 877 bytes
  17. _data+1.xlsx 864 bytes
  18. _data+2.xlsx 864 bytes
  19. _practice_filtering+data.xlsx 937 bytes
  20. _Extra Data.xlsx 344 bytes
  21. _Extra Variable.xlsx 344 bytes
  22. _sales data.xlsx 344 bytes
  23. 40 - Linear regression ML model.mp4 127.6 MB
  24. 41 - Decision Tree regression ML model.mp4 36.8 MB
  25. 42 - Random Forest regression ML model.mp4 59.8 MB
  26. 43 - Support Vector regression ML model.mp4 46.8 MB
  27. 44 - Logistic Regression ML model.mp4 194.8 MB
  28. 45 - Decision Tree classification ML model.mp4 105.9 MB
  29. 46 - Random Forest classification ML model.mp4 75.9 MB
  30. 47 - K Nearest Neighbours classification ML model.mp4 151.2 MB
  31. 48 - KMeans Clustering ML model.mp4 169.8 MB
  32. 49 - Getting Started with GPT4 Data Analyst.mp4 6.8 MB
  33. 50 - Identify missing values.mp4 14.7 MB
  34. 51 - Impute missing values.mp4 25.0 MB
  35. 52 - Exploring data types.mp4 12.8 MB
  36. 53 - Finding inconsistent values.mp4 10.5 MB
  37. 54 - Dropping inconsistent values.mp4 16.8 MB
  38. 55 - Dealing with duplicates.mp4 76.8 MB
  39. 56 - Sorting dataset.mp4 21.5 MB
  40. 57 - Filtering datasets.mp4 20.4 MB
  41. 58 - Inner joining method.mp4 28.1 MB
  42. 59 - Other joining methods.mp4 22.0 MB
  43. 60 - Boxcox transformation.mp4 32.9 MB
  44. 61 - Feature binning.mp4 15.3 MB
  45. 62 - Feature encoding.mp4 15.5 MB
  46. 63 - Creating dummy variables.mp4 15.1 MB
  47. 64 - Nominal data analysis.mp4 17.5 MB
  48. 65 - Descriptive analysis.mp4 56.8 MB
  49. 66 - Group by data analysis.mp4 12.7 MB
  50. 67 - Crosstabulation analysis.mp4 75.9 MB
  51. 68 - Correlation analysis.mp4 45.4 MB
  52. 69 - Oneway ANOVA analysis.mp4 85.8 MB
  53. 70 - Pearson correlation analysis.mp4 18.5 MB
  54. 71 - Regression analysis.mp4 74.6 MB
  55. 72 - Feature scaling and preprocessing.mp4 49.0 MB
  56. 73 - Splitting data into train and test sets.mp4 26.8 MB
  57. 74 - Build and evaluate ML models.mp4 50.3 MB
  58. 4 - Data Analysis and Its Characteristics.mp4 46.7 MB
  59. 5 - Complete data analysis workflow.mp4 6.3 MB
  60. 6 - Statistical Analysis and Its Characteristics.mp4 19.7 MB
  61. 7 - Confidence level significance level and Pvalue.mp4 20.7 MB
  62. 8 - Complete hypothesis testing workflow.mp4 19.2 MB
  63. 10 - Complete Machine Learning Workflow.mp4 5.9 MB
  64. 9 - Machine Learning and Its Characteristics.mp4 6.6 MB
  65. 11 - Your First Python Code.mp4 11.3 MB
  66. 12 - Variables and naming conventions.mp4 28.8 MB
  67. 13 - Data types integers float strings boolean.mp4 29.8 MB
  68. 14 - Type conversion and casting.mp4 36.5 MB
  69. 15 - Arithmetic operators.mp4 32.3 MB
  70. 16 - Comparison operators.mp4 37.0 MB
  71. 17 - Logical operators and or not.mp4 39.9 MB
  72. 18 - Lists creation indexing slicing modifying.mp4 83.5 MB
  73. 19 - Sets unique elements operations.mp4 28.9 MB
  74. 20 - Dictionaries keyvalue pairs methods.mp4 45.2 MB
  75. 21 - Conditional statements if elif else.mp4 19.9 MB
  76. 22 - Logical expressions in conditions.mp4 47.4 MB
  77. 23 - Looping structures for loops while loops.mp4 34.0 MB
  78. 24 - Defining Creating and Calling functions.mp4 16.4 MB
  79. 25 - Loading dataset.mp4 43.5 MB
  80. 26 - Handling missing values.mp4 106.7 MB
  81. 27 - Deal with inconsistent data.mp4 69.5 MB
  82. 28 - Dealing with missidentified data types.mp4 45.2 MB
  83. 29 - Dealing with duplicated data.mp4 23.7 MB
  84. 30 - Sorting and arranging dataset.mp4 27.1 MB
  85. 31 - Filter data based on conditions.mp4 40.9 MB
  86. 32 - Merging or adding variables.mp4 47.8 MB
  87. 33 - Concatenating extra data.mp4 49.5 MB
  88. 34 - Feature engineering.mp4 116.6 MB
  89. 35 - Extracting day months year.mp4 42.0 MB
  90. 36 - Feature encoding.mp4 38.9 MB
  91. 37 - Creating dummy variables.mp4 53.3 MB
  92. 38 - Data normalizing.mp4 120.3 MB
  93. 39 - Splitting data.mp4 52.2 MB
  94. Bonus Resources.txt 386 bytes

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