Python for Data Science Python Programming and Data Analysis 2

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Info hash: 151EFBEA7BCC6E2A6879AC73C8CF06EA492F577B
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Uploader
freecoursewb
Source
1 1337x
Downloads
170
Type
Tutorials
Language
English
Category
Other
Size
2.2 GB
Added
2024-05-24 06:25 (2 years, 5 months ago)
Peers
1 seeders, 0 leechers (checked 6 days, 16 hours ago)
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Files
  1. Get Bonus Downloads Here.url181 bytes
  2. 1. Introduction.mp420.0 MB
  3. 2. Course resources.html106 bytes
  4. Housing.csv29.3 KB
  5. Housing.xlsx37.5 KB
  6. Housing_with_null.csv29.1 KB
  7. MatplotLib.ipynb1003.8 KB
  8. Numpy.ipynb53.1 KB
  9. Pandas.ipynb233.8 KB
  10. Python_Tutorial.ipynb139.8 KB
  11. Seaborn.ipynb2.0 MB
  12. example.txt18 bytes
  13. Autoviz-checkpoint.ipynb72 bytes
  14. MatplotLib-checkpoint.ipynb72 bytes
  15. Numpy-checkpoint.ipynb72 bytes
  16. Pandas-checkpoint.ipynb72 bytes
  17. Python_Tutorial-checkpoint.ipynb120.0 KB
  18. Seaborn-checkpoint.ipynb72 bytes
  19. example-checkpoint.txt33 bytes
  20. gemini-checkpoint.ipynb72 bytes
  21. 1. Introduction to Matplotlib Library.mp439.5 MB
  22. 2. Data Visualization with Matplotlib Plotting Essentials and Customization.mp4116.5 MB
  23. 3. Visualizing Average Session Length per Day with a Line Chart.html144 bytes
  24. 4. Exploring Subplots, Scatter Plots, and Customization.mp478.2 MB
  25. 5. Creating a Scatter Plot of Random Data Points.html144 bytes
  26. 6. Crafting Bar Plots, Histograms, Pie Charts with Customization Using Matplotlib.mp485.9 MB
  27. 7. Practice Assignment Visualizing Olympic Medals Data with Matplotlib.html148 bytes
  28. 1. Introduction to Seaborn Library.mp471.5 MB
  29. 2. Exploring Seaborn Univariate and Bivariate Analysis for Data Visualization.mp450.4 MB
  30. 3. Advanced Data Visualization with Seaborn Pairplot and Barplot Customization.mp488.6 MB
  31. 4. Advanced Visualizations with Countplot and Heatmap Using Seaborn.mp464.0 MB
  32. 5. Practice Assignment Data Visualization with Seaborn and the Iris Dataset.html148 bytes
  33. 1. About your certificate.html945 bytes
  34. 2. Bonus lecture.html6.3 KB
  35. 1. Introduction to Python.mp437.1 MB
  36. 10. Practice Assignment.html148 bytes
  37. 2. First code to Python Programming.html144 bytes
  38. 3. Variables in Python Declaration and Use.mp467.5 MB
  39. 4. Basic Arithmetic Operations in Python.html144 bytes
  40. 5. Data types in Python.mp438.9 MB
  41. 6. Python String.mp448.2 MB
  42. 7. Quiz.html144 bytes
  43. 8. String methods.mp482.5 MB
  44. 9. Calculating Body Mass Index (BMI) in Python.html144 bytes
  45. 1. List in Python.mp475.0 MB
  46. 2. Working with Lists in Python.html144 bytes
  47. 3. Tuples in Python.mp441.6 MB
  48. 4. Dictionaries in Python.mp436.8 MB
  49. 5. Working with Dictionaries in Python.html144 bytes
  50. 6. Sets in Python.mp429.9 MB
  51. 7. Practice Assignment.html148 bytes
  52. 1. Python Conditional Expressions.mp431.7 MB
  53. 2. Conditional Statements in Python.html144 bytes
  54. 3. Exploring Operators and Conditional Expressions in Python.mp479.7 MB
  55. 4. Practice Assignment.html148 bytes
  56. 1. For loops in Python.mp476.9 MB
  57. 2. Generating Square Numbers in Python.html144 bytes
  58. 3. While loops in Python.mp451.6 MB
  59. 4. Practice Assignment.html148 bytes
  60. 1. Function in Python.mp470.7 MB
  61. 2. Checking Even Numbers Using Functions in Python.html144 bytes
  62. 3. Recursion in Python.mp452.6 MB
  63. 4. Lambda function.mp449.5 MB
  64. 5. Lambda Functions for Exponentiation.html144 bytes
  65. 6. Practice Assignment.html148 bytes
  66. 1. File IO in Python.mp469.4 MB
  67. 2. Writing to a File in Python.html144 bytes
  68. 3. Quiz.html144 bytes
  69. 1. Introduction to NumPy arrays.mp460.9 MB
  70. 2. Accessing the elements of NumPy arrays.mp433.5 MB
  71. 3. Creating and Accessing Elements in NumPy Arrays.html144 bytes
  72. 4. Leveraging Data Types, Shapes, and Array Stacking in NumPy.mp453.0 MB
  73. 5. Exploring Diverse Approaches to Creating NumPy Arrays.mp442.6 MB
  74. 6. Creating NumPy Arrays with Evenly Spaced Numbers.html144 bytes
  75. 7. Mathematical operations on arrays.mp446.1 MB
  76. 8. Array Operations and Median Calculation in Python.html144 bytes
  77. 9. Practice Assignment.html148 bytes
  78. 1. Introduction to Pandas Library.mp440.8 MB
  79. 2. Creating DataFrame from Dictionary in Pandas.html144 bytes
  80. 3. Exploring Series and DataFrame in Python.mp447.3 MB
  81. 4. Essential Data Analysis Methods in Python.mp4111.6 MB
  82. 5. Importing Data from CSV File using Pandas.html144 bytes
  83. 6. Missing Data Handling in Python.mp4109.2 MB
  84. 7. Manipulating DataFrame in Python.mp4110.7 MB
  85. 8. Practice Assignment Analyzing and Visualizing the Titanic Dataset with Pandas.html148 bytes
  86. Bonus Resources.txt386 bytes

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