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[GigaCourse.com] Udemy - Support Vector Machines in Python - SVM in Python 2019

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2022-8-7 02:28 2024-11-9 13:03 193 2.15 GB 52
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GigaCourse com Udemy - Support Vector Machines in Python - SVM in Python 2019

文件列表
  1. 1. Setting up Python and Python Crash Course/1. Installing Python and Anaconda.mp418.56MB
  2. 1. Setting up Python and Python Crash Course/10. Working with Seaborn Library of Python.mp448.63MB
  3. 1. Setting up Python and Python Crash Course/3. Opening Jupyter Notebook.mp473.04MB
  4. 1. Setting up Python and Python Crash Course/4. Introduction to Jupyter.mp450.9MB
  5. 1. Setting up Python and Python Crash Course/5. Arithmetic operators in Python Python Basics.mp415.9MB
  6. 1. Setting up Python and Python Crash Course/6. Strings in Python Python Basics.mp480.04MB
  7. 1. Setting up Python and Python Crash Course/7. Lists, Tuples and Directories Python Basics.mp473.16MB
  8. 1. Setting up Python and Python Crash Course/8. Working with Numpy Library of Python.mp453.76MB
  9. 1. Setting up Python and Python Crash Course/9. Working with Pandas Library of Python.mp456.13MB
  10. 2. Machine Learning Basics/1. Introduction to Machine Learning.mp4123.26MB
  11. 2. Machine Learning Basics/2. Building a Machine Learning Model.mp444.92MB
  12. 3. Maximum Margin Classifier/1. Course flow.mp49.78MB
  13. 3. Maximum Margin Classifier/2. The Concept of a Hyperplane.mp435.33MB
  14. 3. Maximum Margin Classifier/3. Maximum Margin Classifier.mp426.18MB
  15. 3. Maximum Margin Classifier/4. Limitations of Maximum Margin Classifier.mp412.52MB
  16. 4. Support Vector Classifier/1. Support Vector classifiers.mp464.11MB
  17. 4. Support Vector Classifier/2. Limitations of Support Vector Classifiers.mp412.96MB
  18. 5. Support Vector Machines/1. Kernel Based Support Vector Machines.mp445.7MB
  19. 6. Creating Support Vector Machine Model in Python/1. Regression and Classification Models.mp45.21MB
  20. 6. Creating Support Vector Machine Model in Python/10. The Data set for the Classification problem.mp421.99MB
  21. 6. Creating Support Vector Machine Model in Python/11. Classification model - Preprocessing.mp454.47MB
  22. 6. Creating Support Vector Machine Model in Python/12. Classification model - Standardizing the data.mp411.88MB
  23. 6. Creating Support Vector Machine Model in Python/13. SVM Based classification model.mp478.52MB
  24. 6. Creating Support Vector Machine Model in Python/14. Hyper Parameter Tuning.mp470.8MB
  25. 6. Creating Support Vector Machine Model in Python/15. Polynomial Kernel with Hyperparameter Tuning.mp422.94MB
  26. 6. Creating Support Vector Machine Model in Python/16. Radial Kernel with Hyperparameter Tuning.mp445.73MB
  27. 6. Creating Support Vector Machine Model in Python/2. The Data set for the Regression problem.mp441.72MB
  28. 6. Creating Support Vector Machine Model in Python/3. Importing data for regression model.mp432.16MB
  29. 6. Creating Support Vector Machine Model in Python/4. Missing value treatment.mp422.3MB
  30. 6. Creating Support Vector Machine Model in Python/5. Dummy Variable creation.mp431.72MB
  31. 6. Creating Support Vector Machine Model in Python/6. X-y Split.mp419.36MB
  32. 6. Creating Support Vector Machine Model in Python/7. Test-Train Split.mp427.48MB
  33. 6. Creating Support Vector Machine Model in Python/8. Standardizing the data.mp447.28MB
  34. 6. Creating Support Vector Machine Model in Python/9. SVM based Regression Model in Python.mp479.83MB
  35. 8. Appendix 1 Data Preprocessing/1. Gathering Business Knowledge.mp422.31MB
  36. 8. Appendix 1 Data Preprocessing/10. Missing Value Imputation in Python.mp423.4MB
  37. 8. Appendix 1 Data Preprocessing/11. Seasonality in Data.mp417.03MB
  38. 8. Appendix 1 Data Preprocessing/12. Bi-variate analysis and Variable transformation.mp4100.44MB
  39. 8. Appendix 1 Data Preprocessing/13. Variable transformation and deletion in Python.mp444.11MB
  40. 8. Appendix 1 Data Preprocessing/14. Non-usable variables.mp420.24MB
  41. 8. Appendix 1 Data Preprocessing/15. Dummy variable creation Handling qualitative data.mp436.83MB
  42. 8. Appendix 1 Data Preprocessing/16. Dummy variable creation in Python.mp426.55MB
  43. 8. Appendix 1 Data Preprocessing/17. Correlation Analysis.mp471.62MB
  44. 8. Appendix 1 Data Preprocessing/18. Correlation Analysis in Python.mp455.32MB
  45. 8. Appendix 1 Data Preprocessing/2. Data Exploration.mp420.5MB
  46. 8. Appendix 1 Data Preprocessing/3. The Dataset and the Data Dictionary.mp469.4MB
  47. 8. Appendix 1 Data Preprocessing/4. Importing Data in Python.mp427.81MB
  48. 8. Appendix 1 Data Preprocessing/5. Univariate analysis and EDD.mp424.21MB
  49. 8. Appendix 1 Data Preprocessing/6. EDD in Python.mp461.78MB
  50. 8. Appendix 1 Data Preprocessing/7. Outlier Treatment.mp424.5MB
  51. 8. Appendix 1 Data Preprocessing/8. Outlier Treatment in Python.mp470.23MB
  52. 8. Appendix 1 Data Preprocessing/9. Missing Value Imputation.mp424.97MB
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