machine-learning
This repository provides an extensive overview of data science and machine learning with Python, featuring Jupyter Notebook guides on key topics like deep learning, model deployment, and reinforcement learning. It covers essential areas such as neural networks, time series analysis, and A/B testing, utilizing libraries like scikit-learn and TensorFlow for practical and theoretical learning needs. Delve into detailed tutorials on Fasttext, Graph Neural Networks, and Transformers to enhance machine learning expertise.
