Udemy Data Science Basics Python Stats Feature Engineering an

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Files
  1. Get Bonus Downloads Here.url180 bytes
  2. 1 - Introduction.mp49.3 MB
  3. 1 - How Python Thinks Execution Flow & Memory Management.mp4162.1 MB
  4. 10 - Python File Handling.mp4122.1 MB
  5. 11 - Python Multiprocessing.mp496.8 MB
  6. 12 - Asyncio in Python.mp4182.9 MB
  7. 13 - List & Dictionary Comprehension in Python.mp491.7 MB
  8. 14 - Decorator & Generator in Python.mp4110.7 MB
  9. 15 - Lambda Function in Python.mp416.4 MB
  10. 16 - Map, Filter & Reduce in Python.mp425.0 MB
  11. 17 - Python Virtual Environment Setup.mp4109.3 MB
  12. 2 - Python Installation.mp415.2 MB
  13. 3 - Python Variables.mp459.2 MB
  14. 4 - Python Loops.mp441.6 MB
  15. 5 - Python Data Structures.mp497.0 MB
  16. 6 - How to import module in Python.mp449.2 MB
  17. 7 - Python Methods.mp446.8 MB
  18. 8 - Python Handling Errors.mp444.1 MB
  19. 9 - Object Oriented Programming in Python.mp4222.6 MB
  20. 1 - Introduction to Vectors.mp437.0 MB
  21. 10 - What is the Chain Rule.mp49.2 MB
  22. 2 - Types of Vectors.mp416.9 MB
  23. 3 - Vector Addition.mp49.8 MB
  24. 4 - What is Vector Span.mp415.5 MB
  25. 5 - Vector Multiplication.mp444.2 MB
  26. 6 - Vectors Explained with a Housing Price Dataset.mp440.7 MB
  27. 7 - Understanding Derivatives.mp432.3 MB
  28. 8 - What is a Partial Derivative.mp413.1 MB
  29. 9 - Introduction to Gradients in Calculus.mp415.0 MB
  30. 1 - Introduction to Statistics.mp411.2 MB
  31. 10 - Common Statistical Terms You Should Know.mp441.0 MB
  32. 11 - Z-Scores in Statistics.mp440.4 MB
  33. 12 - Non-Gaussian Distribution Explained.mp491.8 MB
  34. 13 - Binomial and Poisson Distribution.mp462.7 MB
  35. 14 - What is Central Limit Theorem.mp48.9 MB
  36. 15 - Confidence Interval in Statistics.mp422.0 MB
  37. 16 - Hypothesis Testing.mp478.0 MB
  38. 17 - T-Test and ANOVA.mp457.9 MB
  39. 2 - Levels of Measurement in Statistics.mp425.0 MB
  40. 3 - Mean, Median & Mode.mp426.8 MB
  41. 4 - What is Probability Distribution Function.mp433.8 MB
  42. 5 - What is Probability Mass Function.mp431.4 MB
  43. 6 - Small Correction in PMF.mp44.1 MB
  44. 7 - What is Probability Density Function.mp424.2 MB
  45. 8 - The Bell Curve Exploring the Normal Distribution.mp449.8 MB
  46. 9 - Population and Sample in Statistics.mp412.8 MB
  47. 1 - Introduction to Data Visualization.mp49.2 MB
  48. 10 - Visualizing Categorical Data with Count Plots.mp412.8 MB
  49. 11 - Finding Patterns in a Dataset Using Data Visualization.mp446.5 MB
  50. 2 - Project Setup.mp418.3 MB
  51. 3 - Bar Chart Explained.mp434.2 MB
  52. 4 - Downloading Datasets from Kaggle.mp432.9 MB
  53. 5 - Mean, Median and Model.mp419.7 MB
  54. 6 - Histogram and KDE Plot.mp444.9 MB
  55. 7 - Scatter Plot.mp426.9 MB
  56. 8 - Visualizing Relationship with Pairplots.mp427.0 MB
  57. 9 - Bar Plot Explained.mp424.1 MB
  58. 1 - Introduction to Feature Engineering.mp444.7 MB
  59. 10 - MICE Imputation.mp448.4 MB
  60. 11 - How to Detect Outliers in a Dataset.mp441.7 MB
  61. 12 - Feature Construction Explained.mp47.4 MB
  62. 2 - What is Standardization.mp444.7 MB
  63. 3 - What is Normalization.mp419.5 MB
  64. 4 - Ordinal Encoding Explained.mp419.1 MB
  65. 5 - One Hot Encoding (OHE) Explained.mp446.3 MB
  66. 6 - What is Variable Transformation.mp433.2 MB
  67. 7 - How to Handle Mixed Variable in a Dataset.mp414.0 MB
  68. 8 - How to Handle Missing Data in a Dataset.mp488.9 MB
  69. 9 - KNN Imputation.mp448.9 MB
  70. 1 - Introduction to EDA.mp465.9 MB
  71. 10 - Data Analysis.mp4116.8 MB
  72. 11 - Feature Engineering in a Dataset.mp446.4 MB
  73. 12 - Data Leakage Explained.mp432.9 MB
  74. 2 - EDA vs Feature Engineering.mp433.7 MB
  75. 3 - Project Setup.mp422.6 MB
  76. 4 - Exploring the Dataset.mp453.5 MB
  77. 5 - Changing Data Types in a Dataset.mp429.8 MB
  78. 6 - How to Perform Imputation on a Dataset.mp463.9 MB
  79. 7 - Imputation on Discreate Features.mp426.4 MB
  80. 8 - Data Cleaning in EDA.mp450.1 MB
  81. 9 - Detecting Outliers in a Dataset.mp476.5 MB
  82. Streaming.csv307.2 KB
  83. eda-project.ipynb356.5 KB
  84. requirements.txt62 bytes
  85. 1 - Thank You.mp4532.6 KB
  86. Bonus Resources.txt70 bytes

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