🤖🖥️ Master in Artificial Intelligence 🤖🖥️

Data Science
Machine Learning: Supervised and unsupervised learning, neural networks, and model evaluation.
Deep Learning: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and transformers.
Natural Language Processing (NLP): Sentiment analysis, text generation, and language models.
Computer Vision: Image recognition, object detection, and generative models.
Reinforcement Learning: Markov decision processes, Q-learning, and policy optimization.

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25 Practica EDA_Lavinia Bacaru-checkpoint.ipynb		25 Practica EDA_Lavinia Bacaru-checkpoint.ipynb
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