Courses from 1000+ universities
Buried in Coursera’s 300-page prospectus: two failed merger attempts, competing bidders, a rogue shareholder, and a combined market cap that shrank from $3.8 billion to $1.7 billion.
600 Free Google Certifications
Moralities of Everyday Life
Philosophy, Science and Religion: Religion and Science
Programming for Everybody (Getting Started with Python)
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Explore differential privacy in machine learning using Diffprivlib, a tool for training accurate models with robust privacy guarantees, seamlessly integrating with scikit-learn and numpy.
Learn to build an Android malware analysis engine using Python, combining criminal law principles with bytecode analysis to create a robust scoring system that can detect threats even in obfuscated code.
Explore innovative techniques for detecting and analyzing solar panels in Switzerland using aerial imagery, enhancing renewable energy mapping and urban planning strategies.
Explore practical ML solutions using existing models and AutoML techniques, with interactive demonstrations and insights for quick implementation without deep expertise.
Explore clean architecture principles for Python, focusing on layer separation and internal APIs to create maintainable, testable, and loosely coupled systems.
Discover effective techniques for elegant exception handling in Python, improving code readability and robustness while addressing common challenges and best practices.
Explore Python development essentials: packages, virtual environments, and package managers. Learn pros and cons, best practices, and tools for efficient code management and dependency resolution.
Discover 15 key insights about spaCy, an open-source NLP library for Python. Learn its strengths, limitations, and practical applications for processing and understanding large text corpora.
Learn Docker best practices for data-intensive Python applications, covering image optimization, security, automation, and efficient deployment workflows in Data Science and Machine Learning contexts.
Learn to create attractive and functional GUIs with PySimpleGUI, bridging the gap between complex frameworks and limited design tools. Explore its design philosophy and practical applications.
Learn to deploy machine learning chatbots using CI/CD, covering load balancing, testing, and model retraining. Gain practical insights for taking prototypes to production and iterating faster.
Discover strategies for efficient machine learning deployment, covering infrastructure, tooling, and best practices for managing the ML lifecycle in production environments.
Explore open-source solutions for continuous glucose monitoring in Type 1 Diabetes, including the artificial pancreas project and building a notifier for the Nightscout dashboard.
Learn to build, train, and deploy NLP translation models using PyTorch, Flask, Docker, uWSGI, and Nginx. Covers data preprocessing, model training, web app creation, containerization, and production serving techniques.
Explore innovative approaches to teaching Python to children, focusing on functions, modeling, and simulations. Discover curriculum development strategies and project-based learning techniques.
Get personalized course recommendations, track subjects and courses with reminders, and more.