Deploy machine learning model to production AWS (Amazon EC2 instance)

دروس الكورس

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