Catalina M.'s repositories
Arquitectura-Bigdata
This repository contains projects and exercises I completed during my "Big Data Architecture" course. It reflects the concepts I’ve learned about data processing using Apache Spark and PySpark.
Herramientas-de-programacion-3
This repository contains course materials for developing client-server applications using C# and .NET Framework. It focuses on layered programming techniques for database access, enabling students to build robust software that adheres to international coding standards.
Inteligencia-de-negocios
This repository contains materials and resources for the Business Intelligence course. It includes notes, workshops, and practical exercises that cover essential concepts and applications in data science, data visualization, machine learning, and big data.
Java-Programming-I
Progress in the 'Java Programming I' MOOC course from the University of Helsinki. This course teaches the fundamentals of programming and object-oriented programming in Java, and contains practical exercises and projects.
Java-Programming-II
Progress in the 'Java Programming II' MOOC course from the University of Helsinki. This course builds on the fundamentals learned in Java Programming I, diving into more advanced concepts like data structures, inheritance, interfaces, and GUIs. Includes exercises and projects to apply these in real-world applications.
machine_learning
This repository showcases the knowledge acquired in the Machine Learning course at IUPB. It includes codes and Jupyter notebooks covering supervised and unsupervised learning, regression, clustering, and deep learning.
Reconocimiento-de-patrones
This repository contains practical exercises from the Pattern Recognition course at Pascual Bravo University for the 2024-1 term. The course covers fundamental concepts in data science and machine learning techniques for recognizing, classifying, and clustering patterns across various contexts
Tu-primera-semana-como-data-scientist
This repository is dedicated to documenting my progress in the Data Science course from DS4B. Here, I will record my learnings, projects, and reflections throughout the experience.