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  • رقم الدرس : 17
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  • Writing our own K Nearest Neighbors in Code - Practical Machine Learning Tutorial with Python p.17

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دروس الكورس

  1. 1- Practical Machine Learning Tutorial with Python Intro p.1
  2. 2- Regression Intro - Practical Machine Learning Tutorial with Python p.2
  3. 3- Regression Features and Labels - Practical Machine Learning Tutorial with Python p.3
  4. 4- Regression Training and Testing - Practical Machine Learning Tutorial with Python p.4
  5. 5- Regression forecasting and predicting - Practical Machine Learning Tutorial with Python p.5
  6. 6- Pickling and Scaling - Practical Machine Learning Tutorial with Python p.6
  7. 7- Regression How it Works - Practical Machine Learning Tutorial with Python p.7
  8. 8- How to program the Best Fit Slope - Practical Machine Learning Tutorial with Python p.8
  9. 9- How to program the Best Fit Line - Practical Machine Learning Tutorial with Python p.9
  10. 10- R Squared Theory - Practical Machine Learning Tutorial with Python p.10
  11. 11- Programming R Squared - Practical Machine Learning Tutorial with Python p.11
  12. 12- Testing Assumptions - Practical Machine Learning Tutorial with Python p.12
  13. 13- Classification w/ K Nearest Neighbors Intro - Practical Machine Learning Tutorial with Python p.13
  14. 14- K Nearest Neighbors Application - Practical Machine Learning Tutorial with Python p.14
  15. 15- Euclidean Distance - Practical Machine Learning Tutorial with Python p.15
  16. 16- Creating Our K Nearest Neighbors Algorithm - Practical Machine Learning with Python p.16
  17. 17- Writing our own K Nearest Neighbors in Code - Practical Machine Learning Tutorial with Python p.17
  18. 18- Applying our K Nearest Neighbors Algorithm - Practical Machine Learning Tutorial with Python p.18
  19. 19- Final thoughts on K Nearest Neighbors - Practical Machine Learning Tutorial with Python p.19
  20. 20- Support Vector Machine Intro and Application - Practical Machine Learning Tutorial with Python p.20
  21. 21- Understanding Vectors - Practical Machine Learning Tutorial with Python p.21
  22. 22- Support Vector Assertion - Practical Machine Learning Tutorial with Python p.22
  23. 23- Support Vector Machine Fundamentals - Practical Machine Learning Tutorial with Python p.23
  24. 24- Support Vector Machine Optimization - Practical Machine Learning Tutorial with Python p.24
  25. 25- Creating an SVM from scratch - Practical Machine Learning Tutorial with Python p.25
  26. 26- SVM Training - Practical Machine Learning Tutorial with Python p.26
  27. 27- SVM Optimization - Practical Machine Learning Tutorial with Python p.27
  28. 28- Completing SVM from Scratch - Practical Machine Learning Tutorial with Python p.28
  29. 29- Kernels Introduction - Practical Machine Learning Tutorial with Python p.29
  30. 30- Why Kernels - Practical Machine Learning Tutorial with Python p.30
  31. 31- Soft Margin SVM - Practical Machine Learning Tutorial with Python p.31
  32. 32- Soft Margin SVM and Kernels with CVXOPT - Practical Machine Learning Tutorial with Python p.32
  33. 33- SVM Parameters - Practical Machine Learning Tutorial with Python p.33
  34. 34- Clustering Introduction - Practical Machine Learning Tutorial with Python p.34
  35. 35- Handling Non-Numeric Data - Practical Machine Learning Tutorial with Python p.35
  36. 36- K Means with Titanic Dataset - Practical Machine Learning Tutorial with Python p.36
  37. 37- Custom K Means - Practical Machine Learning Tutorial with Python p.37
  38. 38- K Means from Scratch - Practical Machine Learning Tutorial with Python p.38
  39. 39- Mean Shift Intro - Practical Machine Learning Tutorial with Python p.39
  40. 40- Mean Shift with Titanic Dataset - Practical Machine Learning Tutorial with Python p.40
  41. 41- Mean Shift from Scratch - Practical Machine Learning Tutorial with Python p.41
  42. 42- Mean Shift Dynamic Bandwidth - Practical Machine Learning Tutorial with Python p.42
  43. 43- Deep Learning with Neural Networks and TensorFlow Introduction
  44. 44- Installing TensorFlow (OPTIONAL) - Deep Learning with Neural Networks and TensorFlow p2.1
  45. 45- TensorFlow Basics - Deep Learning with Neural Networks p. 2
  46. 46- Neural Network Model - Deep Learning with Neural Networks and TensorFlow
  47. 47- Running our Network - Deep Learning with Neural Networks and TensorFlow
  48. 48- Processing our own Data - Deep Learning with Neural Networks and TensorFlow part 5
  49. 49- Preprocessing cont'd - Deep Learning with Neural Networks and TensorFlow part 6
  50. 50- Training/Testing on our Data - Deep Learning with Neural Networks and TensorFlow part 7
  51. 51- Using More Data - Deep Learning with Neural Networks and TensorFlow part 8
  52. 52- Installing the GPU version of TensorFlow for making use of your CUDA GPU
  53. 53- Installing CPU and GPU TensorFlow on Windows
  54. 54- Recurrent Neural Networks (RNN) - Deep Learning with Neural Networks and TensorFlow 10
  55. 55- RNN Example in Tensorflow - Deep Learning with Neural Networks 11
  56. 56- Convolutional Neural Networks Basics - Deep Learning withTensorFlow 12
  57. 57- Convolutional Neural Networks with TensorFlow - Deep Learning with Neural Networks 13
  58. 58- TFLearn - Deep Learning with Neural Networks and TensorFlow p. 14
  59. 59- Intro - Training a neural network to play a game with TensorFlow and Open AI
  60. 60- Training Data - Training a neural network to play a game with TensorFlow and Open AI p.2
  61. 61- Training Model - Training a neural network to play a game with TensorFlow and Open AI p.3
  62. 62- Testing Network - Training a neural network to play a game with TensorFlow and Open AI p.4
  63. 63- Intro and preprocessing - Using Convolutional Neural Network to Identify Dogs vs Cats p. 1
  64. 64- Building the Network - Using Convolutional Neural Network to Identify Dogs vs Cats p. 2
  65. 65- Training - Using Convolutional Neural Network to Identify Dogs vs Cats p. 3
  66. 66- Using our Network - Using Convolutional Neural Network to Identify Dogs vs Cats p. 4
  67. 67- Introduction - 3D Convolutional Neural Network w/ Kaggle Lung Cancer Detection Competiton p.1
  68. 68- Reading Files - 3D Convolutional Neural Network w/ Kaggle and 3D medical imaging p.2
  69. 69- Visualizing - 3D Convolutional Neural Network w/ Kaggle and 3D medical imaging p.3
  70. 70- Resizing Data - 3D Convolutional Neural Network w/ Kaggle and 3D medical imaging p.4
  71. 71- Preprocessing data - 3D Convolutional Neural Network w/ Kaggle and 3D medical imaging p.5
  72. 72- Running the Network - 3D Convolutional Neural Network w/ Kaggle and 3D medical imaging p.6