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Machine Learning With Python 2024 CourseWikia

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Files:
  1. Get Bonus Downloads Here.url 181 bytes
  2. 1 - Introduction to Course.mp4 12.4 MB
  3. 10 - Introduction to Pandas Library.mp4 34.7 MB
  4. 11 - Working with Pandas DataFrames.mp4 24.1 MB
  5. 12 - Slicing and Indexing with Pandas.mp4 21.7 MB
  6. 13 - Create DataFrame and Explore Dataset.mp4 75.2 MB
  7. 14 - Data Analysis with Pandas DataFrame.mp4 98.5 MB
  8. 15 - Other Useful Methods in Pandas Library.mp4 45.4 MB
  9. 16 - Introduction to Matplotlib.mp4 15.8 MB
  10. 17 - Customizing Line Plots.mp4 29.4 MB
  11. 18 - Create Plot Using DataFrame.mp4 21.7 MB
  12. 19 - Standard Scaler to Scale the Data.mp4 16.0 MB
  13. 2 - What is Machine Learning.mp4 27.9 MB
  14. 20 - Encoding Categorical Data.mp4 45.3 MB
  15. 21 - Sklearn Pipeline and Column Transformer.mp4 36.7 MB
  16. 22 - Evaluation Metrics in Sklearn.mp4 17.8 MB
  17. 23 - Linear Regression.mp4 42.5 MB
  18. 24 - Evaluation of Linear Regression Model.mp4 30.0 MB
  19. 25 - Polynomial Regression.mp4 19.9 MB
  20. 26 - Polynomial Regression Continued.mp4 95.9 MB
  21. 27 - Sklearn Pipeline Polynomial Regression.mp4 62.3 MB
  22. 28 - Decision Tree Classifier.mp4 36.8 MB
  23. 29 - Decision Tree Evaluation.mp4 43.4 MB
  24. 3 - Life Cycle.mp4 11.0 MB
  25. 30 - Random Forest.mp4 18.9 MB
  26. 31 - Support Vector Machines.mp4 91.4 MB
  27. 32 - Kmeans Clustering.mp4 10.7 MB
  28. 33 - KMeans Clustering Hands On.mp4 46.9 MB
  29. 34 - Data Loading and Analysis.mp4 25.2 MB
  30. 35 - Dimensionality Reduction with PCA.mp4 52.4 MB
  31. 36 - Hyper Parameter Tuning.mp4 59.6 MB
  32. 37 - Summary.mp4 3.7 MB
  33. 4 - Introduction to Numpy Library.mp4 18.7 MB
  34. 5 - Creating Arrays from Scratch.mp4 14.6 MB
  35. 6 - Creating Arrays from Scratch Continued.mp4 16.7 MB
  36. 7 - Array Indexing and Slicing.mp4 25.7 MB
  37. 8 - Numpy Array Functions and Shape Modification.mp4 30.6 MB
  38. 9 - Mathematical Operations on Numpy Arrays.mp4 23.1 MB
  39. 38 - Introduction to Course.mp4 11.9 MB
  40. 39 - Getting System Ready.mp4 52.8 MB
  41. 40 - Read and Write Images.mp4 40.9 MB
  42. 41 - Resize and Crop.mp4 36.4 MB
  43. 42 - Working with Shapes.mp4 72.0 MB
  44. 43 - Working with Text.mp4 10.2 MB
  45. 44 - PreRequisite for Face Detection.mp4 71.7 MB
  46. 45 - Detect the Face.mp4 51.0 MB
  47. 46 - Introduction to Deep Learning with Tensorflow.mp4 65.5 MB
  48. 47 - Model Building.mp4 59.5 MB
  49. 48 - Training the Mask Detector.mp4 25.4 MB
  50. 49 - Saving the Best Model.mp4 8.7 MB
  51. 50 - Basic Front End Design of App.mp4 65.7 MB
  52. 51 - File Upload Interface for App.mp4 49.6 MB
  53. 52 - App Prep.mp4 87.8 MB
  54. 53 - App Build and Testing.mp4 106.7 MB
  55. 54 - AWS Deployment.mp4 103.9 MB
  56. 55 - AWS Deployment Continued.mp4 26.3 MB
  57. 56 - Introduction to Pima Indians Diabetes Using Machine Learning.mp4 9.5 MB
  58. 57 - Installation of Anaconda.mp4 19.4 MB
  59. 58 - Installation of Libraries.mp4 24.7 MB
  60. 59 - Steps in Machine Learning.mp4 14.3 MB
  61. 60 - Dataset and Logistic Regression.mp4 35.2 MB
  62. 61 - Pima Classification.mp4 54.5 MB
  63. 62 - Exclude the Header.mp4 115.8 MB
  64. 63 - Conversion of String into Number.mp4 81.3 MB
  65. 64 - Split the Dataset.mp4 130.0 MB
  66. 65 - Check the ROC.mp4 44.7 MB
  67. Bonus Resources.txt 386 bytes

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