RO-AI-Training

Training sessions for the Olimpiads of Artificial Intelligence, organized by FII, UAIC.

In parallel you may follow the AI-Learning-Hub for advanced information.

Session 01: Python for AI: Introduction to Python, usefull libraries, text and image manipulation with Python.
Session 02: Data Preprocessing: data normalization, standardization, handling missing values.
Session 03: AI Search: BFS, DFS, A*.
Session 04: Supervised learning: Classification: KNN, decision trees, fundamentals of Data Science.
Session 05: Supervised learning: Classification: Naive Bayes, Perceptron, MLP, SVM, unbalanced data.
Session 06: Supervised learning: Classification: Ensemble methods: gradient boosting, bagging, voting, stacking.
Session 07: Regression: Theoretical foundations for Linear Regression and Logistic Regression.
Session 08: Clustering: Clustering algorithms
Session 10: Image processing: feature extraction, augmentation, classification
Session 11: Text Processing: Embeddings, classification, training & evaluating models
Session 12: Deep Learning 1:
Session 13: Deep Learning 2:

Name		Name	Last commit message	Last commit date
session01-Python-for-AI		session01-Python-for-AI
session02-Data-Preprocessing		session02-Data-Preprocessing
session03-AI-Search		session03-AI-Search
session04-Supervised-learning-Classification		session04-Supervised-learning-Classification
session05-Supervised-learning-Classification		session05-Supervised-learning-Classification
session06-Supervised-learning-Classification		session06-Supervised-learning-Classification
session07-Regression		session07-Regression
session08-Clustering		session08-Clustering
session10-Image-processing		session10-Image-processing
session11-Text-processing		session11-Text-processing
session12-Deep-Learning-1		session12-Deep-Learning-1
session13-Deep-Learning-2		session13-Deep-Learning-2
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md

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