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Data Statistics with Full Stack Python

  • 收录时间:2020-06-09 17:41:59
  • 文件大小:3GB
  • 下载次数:62
  • 最近下载:2021-01-20 22:36:58
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文件列表

  1. 10 - Real World Problem - Investment Requirement Analysis for a Company/Investment Project_Funding_Country_Sector Analysis Part 2.mp4 121MB
  2. 10 - Real World Problem - Investment Requirement Analysis for a Company/Investment Project Brief.mp4 101MB
  3. 4 - Some Fun With Maths/Linear Algebra - Vectors.mp4 93MB
  4. 7 - Data Visualization/Seaborn.mp4 92MB
  5. 7 - Data Visualization/Matplotlib.mp4 86MB
  6. 2 - Numpy/Numpy Operations Part2.mp4 80MB
  7. 10 - Real World Problem - Investment Requirement Analysis for a Company/Investment Project_Data Cleaning Part 1.mp4 79MB
  8. 9 - Simple Linear Regression/LR Case Study Part1.mp4 73MB
  9. 7 - Data Visualization/Case Study.mp4 60MB
  10. 4 - Some Fun With Maths/Linear Algebra - Matrix Part1.mp4 58MB
  11. 2 - Numpy/Numpy Operations Part1.mp4 57MB
  12. 10 - Real World Problem - Investment Requirement Analysis for a Company/Investment Project_Funding_Country_Sector Analysis Part 1.mp4 54MB
  13. 5 - Inferential Statistics/Binomial Distribution.mp4 54MB
  14. 10 - Real World Problem - Investment Requirement Analysis for a Company/Investment Project_Data Cleaning - Part 2.mp4 53MB
  15. 8 - Exploratory Data Analysis/Derived Columns.mp4 51MB
  16. 1 - Python Fundamentals/Variables in Python.mp4 50MB
  17. 11 - Loan Analysis Project/Lending Club Default Analysis - Data Understanding and Data Cleaning.mp4 50MB
  18. 1 - Python Fundamentals/String Part1.mp4 48MB
  19. 4 - Some Fun With Maths/Linear Algebra - Matrix Part2.mp4 46MB
  20. 8 - Exploratory Data Analysis/Data Cleaning part1.mp4 43MB
  21. 9 - Simple Linear Regression/Installing Anaconda & using Jupyter Notebook.mp4 42MB
  22. 1 - Python Fundamentals/Functions.mp4 39MB
  23. 6 - Hypothesis Testing/z Table.mp4 38MB
  24. 11 - Loan Analysis Project/Data Analysis - Univariate & Bivariate Analysis.mp4 37MB
  25. 1 - Python Fundamentals/for while Loop.mp4 36MB
  26. 8 - Exploratory Data Analysis/Univariate Analysis Part2.mp4 35MB
  27. 1 - Python Fundamentals/Comprehensions.mp4 33MB
  28. 8 - Exploratory Data Analysis/Bivariate Analysis.mp4 33MB
  29. 11 - Loan Analysis Project/Segmented Univariate Analysis.mp4 32MB
  30. 9 - Simple Linear Regression/How LR Works.mp4 32MB
  31. 3 - Pandas/DataFrame.mp4 31MB
  32. 5 - Inferential Statistics/Probability Theory.mp4 31MB
  33. 8 - Exploratory Data Analysis/Univariate Analysis Part1.mp4 31MB
  34. 1 - Python Fundamentals/If else Loop.mp4 31MB
  35. 7 - Data Visualization/Seaborn on Time Series Data.mp4 30MB
  36. 11 - Loan Analysis Project/Problem Statement.mp4 30MB
  37. 9 - Simple Linear Regression/Some Fun With Maths Behind LR.mp4 29MB
  38. 9 - Simple Linear Regression/R Square.mp4 29MB
  39. 3 - Pandas/Series.mp4 29MB
  40. 1 - Python Fundamentals/Dictionaries.mp4 28MB
  41. 1 - Python Fundamentals/List Part4.mp4 28MB
  42. 8 - Exploratory Data Analysis/Data Sourcing and Cleaning part6.mp4 28MB
  43. 9 - Simple Linear Regression/LR Case Study Part2.mp4 28MB
  44. 1 - Python Fundamentals/Sets.mp4 26MB
  45. 9 - Simple Linear Regression/LR Case Study Part3.mp4 25MB
  46. 1 - Python Fundamentals/Installation of Python and Anaconda.mp4 24MB
  47. 3 - Pandas/Indexes.mp4 24MB
  48. 6 - Hypothesis Testing/p Value.mp4 23MB
  49. 3 - Pandas/groupby.mp4 23MB
  50. 5 - Inferential Statistics/Sampling.mp4 22MB
  51. 3 - Pandas/Operations Part2.mp4 21MB
  52. 3 - Pandas/Introduction.mp4 21MB
  53. 6 - Hypothesis Testing/One_Two Tailed Tests.mp4 21MB
  54. 1 - Python Fundamentals/List Part2.mp4 21MB
  55. 3 - Pandas/Reading CSV.mp4 20MB
  56. 9 - Simple Linear Regression/Types of Machine Learning.mp4 20MB
  57. 5 - Inferential Statistics/Confidence Interval Part1.mp4 19MB
  58. 1 - Python Fundamentals/List Part3.mp4 18MB
  59. 8 - Exploratory Data Analysis/Data Cleaning part2.mp4 18MB
  60. 1 - Python Fundamentals/Tuples.mp4 18MB
  61. 3 - Pandas/loc and iloc.mp4 18MB
  62. 6 - Hypothesis Testing/Introduction.mp4 17MB
  63. 1 - Python Fundamentals/Numeric Operations in Python.mp4 17MB
  64. 5 - Inferential Statistics/Without Experiment.mp4 16MB
  65. 6 - Hypothesis Testing/NULL and Alternate Hypothesis.mp4 16MB
  66. 4 - Some Fun With Maths/Linear Algebra - Going From 2D to nD Part1.mp4 16MB
  67. 3 - Pandas/Merging Part2.mp4 16MB
  68. 6 - Hypothesis Testing/Examples.mp4 15MB
  69. 2 - Numpy/Introduction.mp4 15MB
  70. 4 - Some Fun With Maths/Linear Algebra - 2D to nD Part2.mp4 15MB
  71. 5 - Inferential Statistics/Sampling Distribution.mp4 15MB
  72. 3 - Pandas/Pivot Table.mp4 14MB
  73. 8 - Exploratory Data Analysis/Segmented Analysis.mp4 14MB
  74. 5 - Inferential Statistics/z Score.mp4 14MB
  75. 3 - Pandas/Merging Part 1.mp4 14MB
  76. 5 - Inferential Statistics/Probability Distribution.mp4 13MB
  77. 5 - Inferential Statistics/Expected Values Part1.mp4 13MB
  78. 1 - Python Fundamentals/String Part2.mp4 13MB
  79. 5 - Inferential Statistics/PDF.mp4 12MB
  80. 6 - Hypothesis Testing/t- distribution Part2.mp4 11MB
  81. 5 - Inferential Statistics/Normal Distribution.mp4 11MB
  82. 9 - Simple Linear Regression/Introduction to Linear Regression (LR).mp4 10MB
  83. 6 - Hypothesis Testing/More Examples.mp4 9MB
  84. 8 - Exploratory Data Analysis/Data Sourcing and Cleaning part1.mp4 9MB
  85. 6 - Hypothesis Testing/Types of Error.mp4 9MB
  86. 8 - Exploratory Data Analysis/Data Sourcing and Cleaning part2.mp4 9MB
  87. 5 - Inferential Statistics/Expected Values Part2.mp4 8MB
  88. 5 - Inferential Statistics/Confidence Interval Part2.mp4 8MB
  89. 5 - Inferential Statistics/Central Limit Theorem.mp4 7MB
  90. 6 - Hypothesis Testing/Critical Value Method.mp4 7MB
  91. 8 - Exploratory Data Analysis/Data Sourcing and Cleaning part5.mp4 7MB
  92. 6 - Hypothesis Testing/t- distribution Part1.mp4 6MB
  93. 8 - Exploratory Data Analysis/Data Sourcing and Cleaning part4.mp4 6MB
  94. 1 - Python Fundamentals/List Part1.mp4 6MB
  95. 8 - Exploratory Data Analysis/Data Sourcing and Cleaning part3.mp4 6MB
  96. 5 - Inferential Statistics/Inferential Statistics.mp4 6MB
  97. 9 - Simple Linear Regression/Introduction to Machine Learning.mp4 6MB
  98. 3 - Pandas/Operations Part1.mp4 6MB
  99. 1 - Python Fundamentals/Logical Operations.mp4 5MB
  100. 5 - Inferential Statistics/Commulative Distribution.mp4 5MB
  101. 1 - Python Fundamentals/Python Introduction.mp4 4MB
  102. 9 - Simple Linear Regression/Residual Square Error (RSE).mp4 3MB
  103. 8 - Exploratory Data Analysis/Introduction.mp4 2MB
  104. 1 - Python Fundamentals/Code Password.mp4 967KB
  105. ReadMe.txt 627B
  106. 1 - Python Fundamentals/ReadMe.txt 627B
  107. Visit Getnewcourses.com.url 343B
  108. Visit Freecourseit.com.url 342B