Python Bootcamp

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Uploader
freecoursewb
Source
1 1337x
Downloads
18
Type
Tutorials
Language
English
Category
Other
Size
3.8 GB
Added
2025-09-25 18:33 (1 year, 1 month ago)
Peers
1 seeders, 0 leechers (checked 5 days, 12 hours ago)
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Files
  1. Get Bonus Downloads Here.url180 bytes
  2. 1 -Introduction.mp418.6 MB
  3. 2 - Course resources.html106 bytes
  4. ML Intro PPT.pptx8.9 MB
  5. PyTorch_Tutorial.ipynb13.2 KB
  6. Housing.csv29.3 KB
  7. Housing.xlsx37.5 KB
  8. Housing_with_null.csv29.1 KB
  9. MatplotLib.ipynb1003.8 KB
  10. Numpy.ipynb53.1 KB
  11. Pandas.ipynb233.8 KB
  12. Python_Tutorial.ipynb139.8 KB
  13. Seaborn.ipynb2.0 MB
  14. example.txt18 bytes
  15. Scikit_Learn_Tutorial.ipynb4.8 KB
  16. deep learning intro.pptx997.8 KB
  17. tensorflow_Tutorial.ipynb17.3 KB
  18. 1 -Introduction to Pandas DataFrames.mp440.8 MB
  19. 2 -Working with Series and DataFrames.mp447.3 MB
  20. 3 -Core Methods for Data Analysis in Pandas.mp4111.6 MB
  21. 4 -Handling Missing and Null Data.mp4109.2 MB
  22. 5 -DataFrame Transformation and Manipulation.mp4110.6 MB
  23. 1 -Getting Started with Matplotlib Library.mp439.5 MB
  24. 2 -Plotting Fundamentals Creating and Customizing Visuals.mp4116.5 MB
  25. 3 -Subplots and Scatter Plots Comparative and Relational Analysis.mp478.1 MB
  26. 4 -Bar Charts, Histograms, and Pie Charts Distribution and Composition Insights.mp485.8 MB
  27. 1 -Introduction to the Seaborn Library.mp471.5 MB
  28. 2 -Visualizing Distributions Univariate and Bivariate Analysis.mp450.4 MB
  29. 3 -Advanced Plots in Seaborn Pairplots and Barplot Customization.mp488.6 MB
  30. 4 -Complex Visualizations Countplots and Heatmaps.mp463.9 MB
  31. 1 -Introduction to Scikit-Learn and Environment Setup.mp443.3 MB
  32. 2 -Data Loading Utilities in Scikit-Learn.mp461.6 MB
  33. 3 -Supervised Learning with Scikit-Learn.mp446.3 MB
  34. 4 -Unsupervised Learning with Scikit-Learn.mp463.6 MB
  35. 5 -Data Transformation Techniques in Scikit-Learn.mp474.7 MB
  36. 6 -Model Selection and Evaluation in Scikit-Learn.mp477.3 MB
  37. 7 -Visualization Tools in Scikit-Learn.mp450.5 MB
  38. 8 -Saving and Reusing Models in Scikit-Learn.mp444.9 MB
  39. 1 -Introduction to Deep Learning.mp4100.8 MB
  40. 1 -Introduction to TensorFlow.mp456.5 MB
  41. 2 -Working with Tensors and TensorFlow Operations.mp464.9 MB
  42. 3 -Key Components of TensorFlow.mp427.9 MB
  43. 4 -Building Models with Keras in TensorFlow.mp4135.9 MB
  44. 5 -Understanding the Variety of Layers in Neural Networks.mp441.8 MB
  45. 6 -Project – Fashion MNIST Classification with TensorFlow.mp4178.9 MB
  46. 1 -Introduction to PyTorch.mp465.9 MB
  47. 2 -Tensor Operations in PyTorch.mp449.9 MB
  48. 3 -Building Neural Networks with PyTorch.mp476.8 MB
  49. 4 -Project – Melanoma Cancer Prediction with PyTorch.mp449.6 MB
  50. 5 -Project Extension – Data Augmentation for Cancer Prediction.mp455.0 MB
  51. 6 -Project Extension – Defining a Custom Neural Network.mp496.9 MB
  52. 7 -Evaluating Models with Confusion Matrix in PyTorch.mp435.9 MB
  53. 8 -The final milestone!.mp412.7 MB
  54. 1 - About your certificate.html945 bytes
  55. 1 - Bonus Lecture.html9.1 KB
  56. 1 -What is Python & Why Learn It.mp437.1 MB
  57. 2 -This is a Milestone!.mp443.7 MB
  58. 3 -Understanding Variables in Python.mp467.5 MB
  59. 4 -Python Data Types.mp438.9 MB
  60. 5 -Working with Strings in Python.mp448.2 MB
  61. 6 -Useful String Methods.mp482.5 MB
  62. 1 -Lists in Python.mp475.0 MB
  63. 2 -Understanding Tuples.mp441.6 MB
  64. 3 -Working with Dictionaries.mp436.8 MB
  65. 4 -Sets in Python.mp429.9 MB
  66. 1 -Introduction to Conditional Statements.mp431.7 MB
  67. 2 -Operators and Advanced Conditions.mp479.7 MB
  68. 1 -For Loops in Python.mp476.9 MB
  69. 2 -While Loops in Python.mp451.6 MB
  70. 1 -Defining and Using Functions.mp470.7 MB
  71. 2 -Understanding Recursion.mp452.6 MB
  72. 3 -Lambda Functions in Python.mp449.5 MB
  73. 1 -Reading and Writing Files in Python.mp469.4 MB
  74. 1 -Introduction to Machine Learning.mp4100.8 MB
  75. 1 -Overview of NumPy and Its Core Concepts.mp460.8 MB
  76. 2 -Indexing and Selecting Data in NumPy Arrays.mp433.5 MB
  77. 3 -Understanding Array Data Types, Shapes, and Stacking.mp453.0 MB
  78. 4 -Techniques for Creating Arrays in NumPy.mp442.7 MB
  79. 5 -Performing Mathematical and Statistical Operations with Arrays.mp446.1 MB
  80. Bonus Resources.txt70 bytes

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