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Data Statistics with Full Stack Python

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2023-9-5 01:41 2024-6-5 15:39 102 2.84 GB 104
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Data Statistics with Full Stack Python

文件列表
  1. 1 - Python Fundamentals/Code Password.mp4966.76KB
  2. 8 - Exploratory Data Analysis/Introduction.mp42.16MB
  3. 9 - Simple Linear Regression/Residual Square Error (RSE).mp42.61MB
  4. 1 - Python Fundamentals/Python Introduction.mp44.32MB
  5. 5 - Inferential Statistics/Commulative Distribution.mp44.84MB
  6. 1 - Python Fundamentals/Logical Operations.mp45.07MB
  7. 3 - Pandas/Operations Part1.mp45.87MB
  8. 9 - Simple Linear Regression/Introduction to Machine Learning.mp45.97MB
  9. 5 - Inferential Statistics/Inferential Statistics.mp45.98MB
  10. 8 - Exploratory Data Analysis/Data Sourcing and Cleaning part3.mp46.01MB
  11. 1 - Python Fundamentals/List Part1.mp46.05MB
  12. 8 - Exploratory Data Analysis/Data Sourcing and Cleaning part4.mp46.11MB
  13. 6 - Hypothesis Testing/t- distribution Part1.mp46.16MB
  14. 8 - Exploratory Data Analysis/Data Sourcing and Cleaning part5.mp47.06MB
  15. 6 - Hypothesis Testing/Critical Value Method.mp47.31MB
  16. 5 - Inferential Statistics/Central Limit Theorem.mp47.36MB
  17. 5 - Inferential Statistics/Confidence Interval Part2.mp47.61MB
  18. 5 - Inferential Statistics/Expected Values Part2.mp48.19MB
  19. 8 - Exploratory Data Analysis/Data Sourcing and Cleaning part2.mp48.53MB
  20. 6 - Hypothesis Testing/Types of Error.mp48.89MB
  21. 8 - Exploratory Data Analysis/Data Sourcing and Cleaning part1.mp48.99MB
  22. 6 - Hypothesis Testing/More Examples.mp49.43MB
  23. 9 - Simple Linear Regression/Introduction to Linear Regression (LR).mp410.03MB
  24. 5 - Inferential Statistics/Normal Distribution.mp410.77MB
  25. 6 - Hypothesis Testing/t- distribution Part2.mp411.09MB
  26. 5 - Inferential Statistics/PDF.mp411.68MB
  27. 1 - Python Fundamentals/String Part2.mp412.85MB
  28. 5 - Inferential Statistics/Expected Values Part1.mp413.42MB
  29. 5 - Inferential Statistics/Probability Distribution.mp413.48MB
  30. 3 - Pandas/Merging Part 1.mp413.68MB
  31. 5 - Inferential Statistics/z Score.mp413.81MB
  32. 8 - Exploratory Data Analysis/Segmented Analysis.mp413.87MB
  33. 3 - Pandas/Pivot Table.mp414.22MB
  34. 5 - Inferential Statistics/Sampling Distribution.mp414.57MB
  35. 4 - Some Fun With Maths/Linear Algebra - 2D to nD Part2.mp414.58MB
  36. 2 - Numpy/Introduction.mp414.71MB
  37. 6 - Hypothesis Testing/Examples.mp415.37MB
  38. 3 - Pandas/Merging Part2.mp415.73MB
  39. 4 - Some Fun With Maths/Linear Algebra - Going From 2D to nD Part1.mp416MB
  40. 6 - Hypothesis Testing/NULL and Alternate Hypothesis.mp416.09MB
  41. 5 - Inferential Statistics/Without Experiment.mp416.48MB
  42. 1 - Python Fundamentals/Numeric Operations in Python.mp416.84MB
  43. 6 - Hypothesis Testing/Introduction.mp417.42MB
  44. 3 - Pandas/loc and iloc.mp417.5MB
  45. 1 - Python Fundamentals/Tuples.mp417.54MB
  46. 8 - Exploratory Data Analysis/Data Cleaning part2.mp417.64MB
  47. 1 - Python Fundamentals/List Part3.mp418.01MB
  48. 5 - Inferential Statistics/Confidence Interval Part1.mp419.42MB
  49. 9 - Simple Linear Regression/Types of Machine Learning.mp419.63MB
  50. 3 - Pandas/Reading CSV.mp419.99MB
  51. 1 - Python Fundamentals/List Part2.mp420.84MB
  52. 6 - Hypothesis Testing/One_Two Tailed Tests.mp420.88MB
  53. 3 - Pandas/Introduction.mp421MB
  54. 3 - Pandas/Operations Part2.mp421.36MB
  55. 5 - Inferential Statistics/Sampling.mp421.97MB
  56. 3 - Pandas/groupby.mp422.66MB
  57. 6 - Hypothesis Testing/p Value.mp422.84MB
  58. 3 - Pandas/Indexes.mp423.53MB
  59. 1 - Python Fundamentals/Installation of Python and Anaconda.mp424.05MB
  60. 9 - Simple Linear Regression/LR Case Study Part3.mp424.68MB
  61. 1 - Python Fundamentals/Sets.mp426.07MB
  62. 9 - Simple Linear Regression/LR Case Study Part2.mp427.63MB
  63. 8 - Exploratory Data Analysis/Data Sourcing and Cleaning part6.mp428.01MB
  64. 1 - Python Fundamentals/List Part4.mp428.17MB
  65. 1 - Python Fundamentals/Dictionaries.mp428.22MB
  66. 3 - Pandas/Series.mp429.05MB
  67. 9 - Simple Linear Regression/R Square.mp429.11MB
  68. 9 - Simple Linear Regression/Some Fun With Maths Behind LR.mp429.42MB
  69. 11 - Loan Analysis Project/Problem Statement.mp429.53MB
  70. 7 - Data Visualization/Seaborn on Time Series Data.mp430.43MB
  71. 1 - Python Fundamentals/If else Loop.mp430.77MB
  72. 8 - Exploratory Data Analysis/Univariate Analysis Part1.mp430.82MB
  73. 5 - Inferential Statistics/Probability Theory.mp431.28MB
  74. 3 - Pandas/DataFrame.mp431.37MB
  75. 9 - Simple Linear Regression/How LR Works.mp431.98MB
  76. 11 - Loan Analysis Project/Segmented Univariate Analysis.mp432.49MB
  77. 8 - Exploratory Data Analysis/Bivariate Analysis.mp433.09MB
  78. 1 - Python Fundamentals/Comprehensions.mp433.49MB
  79. 8 - Exploratory Data Analysis/Univariate Analysis Part2.mp434.55MB
  80. 1 - Python Fundamentals/for while Loop.mp436.08MB
  81. 11 - Loan Analysis Project/Data Analysis - Univariate & Bivariate Analysis.mp437.31MB
  82. 6 - Hypothesis Testing/z Table.mp437.77MB
  83. 1 - Python Fundamentals/Functions.mp439.14MB
  84. 9 - Simple Linear Regression/Installing Anaconda & using Jupyter Notebook.mp441.58MB
  85. 8 - Exploratory Data Analysis/Data Cleaning part1.mp443.29MB
  86. 4 - Some Fun With Maths/Linear Algebra - Matrix Part2.mp446.4MB
  87. 1 - Python Fundamentals/String Part1.mp447.95MB
  88. 11 - Loan Analysis Project/Lending Club Default Analysis - Data Understanding and Data Cleaning.mp449.63MB
  89. 1 - Python Fundamentals/Variables in Python.mp450.44MB
  90. 8 - Exploratory Data Analysis/Derived Columns.mp450.71MB
  91. 10 - Real World Problem - Investment Requirement Analysis for a Company/Investment Project_Data Cleaning - Part 2.mp453.21MB
  92. 5 - Inferential Statistics/Binomial Distribution.mp454.05MB
  93. 10 - Real World Problem - Investment Requirement Analysis for a Company/Investment Project_Funding_Country_Sector Analysis Part 1.mp454.38MB
  94. 2 - Numpy/Numpy Operations Part1.mp457.35MB
  95. 4 - Some Fun With Maths/Linear Algebra - Matrix Part1.mp458.24MB
  96. 7 - Data Visualization/Case Study.mp460.43MB
  97. 9 - Simple Linear Regression/LR Case Study Part1.mp472.75MB
  98. 10 - Real World Problem - Investment Requirement Analysis for a Company/Investment Project_Data Cleaning Part 1.mp479.31MB
  99. 2 - Numpy/Numpy Operations Part2.mp480.07MB
  100. 7 - Data Visualization/Matplotlib.mp485.97MB
  101. 7 - Data Visualization/Seaborn.mp491.61MB
  102. 4 - Some Fun With Maths/Linear Algebra - Vectors.mp493.46MB
  103. 10 - Real World Problem - Investment Requirement Analysis for a Company/Investment Project Brief.mp4100.98MB
  104. 10 - Real World Problem - Investment Requirement Analysis for a Company/Investment Project_Funding_Country_Sector Analysis Part 2.mp4120.86MB
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