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An accessible introduction to the foundational ethical principles, challenges, and responsibilities in the development and deployment of Artificial Intelligence. This course is designed for beginners in AI and Data Science, focusing on theory and real-world implications.

A beginner-friendly course introducing the core concepts of APIs, their types, how they work, and their role in modern technology. This course uses simple language and practical scenarios to help you understand APIs from the ground up, with easy quizzes to reinforce your learning.

A comprehensive theoretical course exploring the principles, design patterns, and practical considerations of API and protocol design, focusing on REST, RPC, and gRPC. This course provides a deep dive into the architectural styles, communication models, and best practices for designing robust APIs.

This comprehensive course is designed for beginners aiming to become AWS Certified Developer Associates. It is structured into 3 sections, each containing 3 theory chapters that cover essential AWS development concepts and services. Alongside the theoretical lessons, each section includes 2 practical tasks to reinforce learning and provide hands-on experience. By the end of this course, learners will have a solid foundation in AWS development and be well-prepared for the certification exam.

Explore the principles and practical techniques of Active Learning to maximize label efficiency in machine learning workflows. Learn the core concepts, sampling strategies, and hands-on iterative simulations using Python and scikit-learn.

Master the most powerful modern tree-based ensemble methods—CatBoost, XGBoost, and LightGBM. Learn their unique innovations, practical tuning, and how to leverage them for high-performance machine learning tasks.

Real sales data becomes the foundation for uncovering performance patterns and understanding how different product lines contribute to overall results. The workflow moves from raw records to structured insights through data cleaning, revenue calculation, and product-level evaluation, forming a practical analytical pipeline commonly used in real business environments.

Explore how romantic relationships may impact academic performance differently for male and female students using statistical analysis and visualization.

Explore how romantic relationships may impact academic performance differently for male and female students using statistical analysis and visualization.

This project explores data-driven insights in animal shelter operations, focusing on factors influencing pet adoption rates using real-world datasets.