Machine learning for petroleum engineer in Arabic
This repo for the material used in my youtube playlist.
youtube playlist
The tutorial is about providing a good start for those professionals and students who have no previous knowledge about Machine learnig.
In this tutorial the lession that i am teachning are from various sources and courses that i have taken beside working from the Machine learning for oil and gas book for the excersices.
| Video num | Topic | Video content | Source code |
|---|---|---|---|
| 1 | What is machine learning and Ml types | Video on youtube | none |
| 2 | Examples of ML, image classification and dimentionality reduction | Video on youtube | none |
| 3 | The basic workflow for a ML project | Video on youtube | none |
| 4 | Optimization process and Gradient descent | Video on youtube | none |
| 5 | Linear Regression , prediction of flow capacity of unconventional reservoir | Video on youtube | Notebook |
| 6 | Logistic Regression and Classification metrics | Video on youtube | none |
| 7 | Logistic regeression , prediction wheter the employee will quit or not | Video on youtube | Notebook |
| 8 | What is overfitting and unerfittingt | Video on youtube | none |
| 9 | Reguralization, l1 and l2 penalty | Video on youtube | none |
| 10 | K-nearest neighbors, knn with sklearn | Video on youtube | Notebook |
| 11 | Hyperparameter Tunning and corss-validation | Video on youtube | none |
| 12 | What is support Vector machines | Uploading | none |
| 13 | Decision Tree and Random Forrest, how thy work for regression and classification | Video on youtube | none |
| 14 | Lithology Classification with Random Forrest | Video on youtube | Notebook |
| 15 | Xtra Trees, Gradient boost , Extreme gradient boosting | Uploading | none |