├── Compo2.png ├── Part1_practical_Tut_ML_facies.ipynb ├── Part3_practical_Tut_ML_facies.ipynb ├── Part4_(ALL)_practical_Tut_ML_facies.ipynb ├── Part4_(ALL)_practical_Tut_ML_facies_V2.ipynb ├── README.md ├── facies_vectors.csv └── part2_practical_Tut_ML_facies.ipynb /Compo2.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mardani72/Practical_ML_Tutorial_Facies_examp/39e3861afe6df4672e9ff6556ba30240a003960d/Compo2.png -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Practical_ML_Tutorial_Facies_examp 2 | Although there are tons of great books and papers outside to practice machine learning, I always wanted to see something short, simple, and with a descriptive manuscript. I always wanted to see an example with an appropriate explanation of the procedure accompanied by detailed results interpretation. Model evaluation metrics should also need to be elaborated clearly. 3 | In this work, I will try to include all important steps of ML modeling (even though some are not necessary for this dataset) to make a consistent and tangible example, especially for geoscientists. Eight important ML algorithms will be examined and results will be compared. I will try to have an argumentative model evaluation discussion. I will not go deep into the algorithm's fundamentals. 4 | This tutorial has four parts: This tutorial has four parts: 5 | Part.1: Exploratory Data Analysis, 6 | Part.2: Build Model & Validate, 7 | Part.3: Model Evaluation-1, 8 | Part.4: Model Evaluation-2. 9 | In the final part, we will examine model performances on blind well data that we kept out of models exposure. 10 | 11 | You may find full elaboration in thses links:
12 | 1- https://towardsdatascience.com/practical-machine-learning-tutorial-part-1-data-exploratory-analysis-c13d39b8f33b
13 | 2- https://towardsdatascience.com/practical-machine-learning-tutorial-part-2-build-model-validate-c98c2ddad744
14 | 3- https://towardsdatascience.com/practical-machine-learning-tutorial-part-3-model-evaluation-1-5eefae18ec98
15 | 4- https://towardsdatascience.com/practical-machine-learning-tutorial-part-4-model-evaluation-2-764d69f792a5
16 | 17 | --------------------------------------------------------------------------------