Introduction to Image Processing Using Scikit-Image in Python
Learn essential image processing techniques using scikit-image in Python, including resizing, edge detection, and segmentation for microscopy-based assays like wound healing.
Image Processing Using Scipy in Python
Learn essential image processing techniques using SciPy in Python, including importing, pixel manipulation, filtering, and edge detection with Sobel filters.
Image Processing Using Pillow in Python
Learn to manipulate images in Python using Pillow library. Covers resizing, cropping, rotating, flipping, and grayscale conversion with practical examples for multiple images.
Reading Images in Python
Learn various methods to read images in Python, including standard formats and specialized scientific images like CZI and OME-TIFF, using popular libraries and techniques for efficient image processing.
Lists, Tuples, and Dictionaries
Learn about Python data structures: lists, tuples, dictionaries, and numpy arrays. Understand their operations and applications, especially in image processing.
What Is Blender - Crash Course
Comprehensive introduction to Blender's features, capabilities, and learning resources. Covers 3D modeling, animation, rendering, VFX, customization, and community aspects for beginners and professionals alike.
How to Get Started with Data Science and Machine Learning
Explore the fundamentals of data science, analytics, AI, and machine learning. Learn essential skills and create a structured learning plan for these in-demand fields.
An Introduction to Object Segmentation Using StarDist Library in Python
Learn object segmentation using StarDist in Python for star-convex shapes in 2D and 3D. Covers installation, implementation, and HD image segmentation with practical examples.
COVID Vaccine Analysis Using Pandas in Python
Analyze COVID vaccination data using pandas in Python, covering data reading, daily and overall analysis, and visualization with Plotly.
Ultimate Machine Learning Projects with Python for Beginners - 2024
Master Python-based machine learning through hands-on projects, from basic algorithms to advanced applications like fake news detection, predictive maintenance, and emotion recognition. Build a portfolio with real-world implementations.
Seamless Transition from Single-core Python to Julia Multi-GPU
Discover how to transform single-core Python code into scalable Julia applications for GPU supercomputers, with focus on automatic verification and parallel computing optimization.
Live Portrait Tutorial - Animating Images with AI-Controlled Expressions and Emotions
Master the art of animating still images with realistic facial expressions using Live Portrait's free AI technology and Python-based implementation.
Introduction to Building Web Applications with Streamlit - Part 10.2
Learn how to build interactive web applications for generative AI using Streamlit, from basic setup to creating user-friendly interfaces with Python scripts and AI model integration.
Building Websites with Python Using Streamlit - A Comprehensive Guide
Master Python web development with Streamlit by building interfaces using forms, charts, and advanced features. Create dynamic websites quickly while learning data flow, session management, and multi-page applications.
RAG: GraphRAG - Visualización del Knowledge Graph en Neo4J
Descubre cómo cargar y visualizar un Knowledge Graph creado con GraphRAG en Neo4J, explorando técnicas avanzadas de representación del conocimiento para ciencia de datos y aprendizaje automático.
Extracción de Información Estructurada de PDF con LangChain y Gemini Pro
Descubre cómo extraer información estructurada de PDFs utilizando LangChain, Gemini Pro 1.5 y Pydantic. Aprende técnicas avanzadas de procesamiento de documentos para mejorar tus habilidades en machine learning.
RAG: Como usar LangChain's Pandas DataFrame Agent con Gemini Pro
Aprende a integrar LangChain's Pandas DataFrame Agent con Gemini Pro para potenciar el análisis de datos y la ejecución de código en machine learning.
Нейросети на Python
Учебный курс начального уровня для программистов, которые хотят научится применять нейронные сети для решения практических задач.
Enhancing the Observability of LLM Using OTel and Auto Python Probe Injection
Discover how to enhance LLM observability using OpenTelemetry and Python probe injection techniques, focusing on practical implementation within Apache systems.
Convertisseur de temps en Python
Apprenez à créer un convertisseur de temps en Python, de la conception à la création d'exécutables et d'interfaces graphiques, en passant par les tests et le déploiement web.
Python Projects
Explore diverse Python projects, from animated cards to practical tools, suitable for beginners and CV enhancement. Learn through hands-on coding in Hindi.