الدرس 5 | لغة الآلة

قائمة الدروس

  1. Machine Learning Tutorial Python -1: What is Machine Learning?
  2. Machine Learning Tutorial Python - 2: Linear Regression Single Variable
  3. Machine Learning Tutorial Python - 3: Linear Regression Multiple Variables
  4. Machine Learning Tutorial Python - 4: Gradient Descent and Cost Function
  5. Machine Learning Tutorial Python - 5: Save Model Using Joblib And Pickle
  6. Machine Learning Tutorial Python - 6: Dummy Variables & One Hot Encoding
  7. Machine Learning Tutorial Python - 7: Training and Testing Data
  8. Machine Learning Tutorial Python - 8: Logistic Regression (Binary Classification)
  9. Machine Learning Tutorial Python - 8 Logistic Regression (Multiclass Classification)
  10. Machine Learning Tutorial Python - 9 Decision Tree
  11. Machine Learning Tutorial Python - 10 Support Vector Machine (SVM)
  12. Machine Learning Tutorial Python - 11 Random Forest
  13. Machine Learning Tutorial Python 12 - K Fold Cross Validation
  14. Machine Learning Tutorial Python - 13: K Means Clustering Algorithm
  15. Machine Learning Tutorial Python - 14: Naive Bayes Classifier Algorithm Part 1
  16. Machine Learning Tutorial Python - 15: Naive Bayes Classifier Algorithm Part 2
  17. Machine Learning Tutorial Python - 16: Hyper parameter Tuning (GridSearchCV)
  18. Machine Learning Tutorial Python - 17: L1 and L2 Regularization Lasso, Ridge Regression
  19. Machine Learning Tutorial Python - 18: K nearest neighbors classification with python code
  20. Machine Learning Tutorial Python - 19: Principal Component Analysis (PCA) with Python Code
  21. Machine Learning Tutorial Python - 20: Bias vs Variance In Machine Learning
  22. Machine Learning Tutorial Python - 21: Ensemble Learning - Bagging
  23. Machine Learning & Data Science Project - 1 : Introduction (Real Estate Price Prediction Project)
  24. Machine Learning & Data Science Project - 2 : Data Cleaning (Real Estate Price Prediction Project)
  25. Machine Learning & Data Science Project - 3 : Feature Engineering (Real Estate Price Prediction)
  26. Machine Learning & Data Science Project - 4 : Outlier Removal (Real Estate Price Prediction Project)
  27. Machine Learning & Data Science Project - 5 : Model Building (Real Estate Price Prediction Project)
  28. Machine Learning & Data Science Project - 6 : Python Flask Server (Real Estate Price Prediction)
  29. Machine Learning & Data Science Project - 7 : Website or UI (Real Estate Price Prediction Project)
  30. Deploy machine learning model to production AWS (Amazon EC2 instance)
  31. Data Science & Machine Learning Project - Part 1 Introduction Image Classification
  32. Data Science & Machine Learning Project - Part 2 Data Collection Image Classification
  33. Data Science & Machine Learning Project - Part 3 Data Cleaning Image Classification
  34. Data Science & Machine Learning Project - Part 4 Feature Engineering Image Classification
  35. Data Science & Machine Learning Project - Part 5 Training a Model Image Classification
  36. Data Science & Machine Learning Project - Part 6 Flask Server Image Classification
  37. Data Science & Machine Learning Project - Part 7 Build Website Image Classification
  38. Data Science & Machine Learning Project - Part 8 Deployment & Exercise Image Classification
  39. What is feature engineering Feature Engineering Tutorial Python # 1
  40. Outlier detection and removal using percentile Feature engineering tutorial python # 2
  41. Outlier detection and removal: z score, standard deviation Feature engineering tutorial python # 3
  42. Outlier detection and removal using IQR Feature engineering tutorial python # 4
Machine Learning Tutorial Python - 5: Save Model Using Joblib And Pickle

ترتيب الدرس : 05

00:08:21

Machine Learning Tutorial Python - 5: Save Model Using Joblib And Pickle

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مهارات التواصل

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التسويق الشخصى

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مهارات حل المشكلات

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