Welcome to the Data Science and Machine Learning repository! This repository is organized to facilitate access to projects and resources in Data Science, Machine Learning, Deep Learning, and Reinforcement Learning. Here, you'll find both theoretical foundations and practical applications across these fields.
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Data Visualization
Learn about data visualization techniques using Python, with a focus on creating informative and visually appealing representations of data. -
Machine Learning
Projects focusing on traditional machine learning techniques for tasks such as classification, regression, and clustering. -
Deep Learning
Implementations of deep learning models, including CNNs, RNNs, and transformers, for complex data analysis and prediction. -
Reinforcement Learning
Explore reinforcement learning algorithms applied to decision-making problems, with projects that cover Q-learning, policy gradients, and more.
This repository is intended to serve as a comprehensive collection for projects in Data Science and ML. Whether you're new to these fields or advancing your skills, you'll find resources and projects for various levels of expertise.
To explore more projects, please visit my GitHub profile.