This project is a Python data science curriculum and programming tutorial collection. It provides a structured set of educational notebooks and scripts designed to teach data analysis, machine learning, and deep learning.
The repository serves as a learning path for building and tuning predictive models, including regression, decision trees, and neural networks. It includes a data visualization guide for creating financial time-series plots and a multiprocessing reference for implementing parallel task execution and shared memory synchronization.
The curriculum covers broader capability areas including tabular data manipulation, dimensionality reduction, and hyperparameter optimization. It also provides instruction on core programming fundamentals, algorithm study, and the development of specific applications such as face recognition and home price prediction.
The content is delivered through notebook-based interactive learning, combining executable code with rich text and inline visualizations.
