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SPE Pyhton Course
Registration deadline: 9 February 2022, 6PM Moscow time.

Course Contents:
1. Python programming: Introduction (lecture)
1.1. Installation guidelines: Python, Anaconda (Jupyter Notebook)
1.2. Mutable and immutable
1.3. Introduction to basic data structure
1.4. Difference between list and array
1.5. Basic calculations
2. Analytics and Visualization (lecture)
2.1. Numpy, Pandas, Scipy, Matplotlib
2.2 Vector and array manipulation
2.3. Plotting, functions, input and output
3. Python for petroleum engineering calculations (practical session)
4. Machine Learning: Introduction (lecture)
4.1. Supervised vs. Unsupervised Learning
4.2. Linear Regression, Decision Tree, KNN
4.3. SVM
4.4. Clustering
4.5. Case study: ML application for petroleum engineering
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