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Week - 1 |
Bacis Concepts: Artificial Intelligence, Machine Learning,Deep Learning, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Jupyter / Colab Environment |
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Week - 2 |
Python Recap:Data Types,IO,if-elif,while-for, functions |
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Week - 3 |
Python Recap: Pandas, Numpy, Matplotlib,Seaborn Libraries |
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Week - 4 |
Linear Algebra and Probability Recap: Vector, Matrix, Tensor, Python Calculations,Probability Distribution Functions |
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Week - 5 |
Linear regression: Data Preparation, Simple Regression,Multiple regression; Error Metrics: R- squared, MAE, MSE |
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Week - 6 |
Logistic Regression: Sigmoid Function, F1 score, Confusion Matrix, ROC |
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Week - 7 |
Decision Trees: Basics,Terminology, Gini index, Entropy |
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Week - 8 |
Regularization: Overfitting, underfitting, Lasso, Ridge; Ensemble Learning: XgBoost |
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Week - 9 |
Unsupervised Learning: Clustering, K-means, Sihoutte Score |
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Week - 10 |
Artificial Neural Networks (ANN) |
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Week - 11 |
Convolutional Neural Networks (CNN) |
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Week - 12 |
Aeronautics Applications |
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Week - 13 |
Industry / Academy Seminar |
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Week - 14 |
Project Presentations |
Eskisehir Technical University Info Package 
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