Kube-Native CI/CD Pipelines for Containerized Databases
Explore Kube-native CI/CD pipelines for containerized databases, covering automated workflows, database operators, and Tekton optimization for microservices architecture.
Assessing Fedora Package Updates Impact Using Copr
Explore Copr for evaluating Fedora package updates. Learn impact assessment techniques, resource utilization, and result interpretation for seamless integration into the Fedora ecosystem.
MLOps MLFlow: MLflow Projects with PySpark Docker Environments
Explore MLflow Projects with PySpark in Docker, utilizing Databricks for artifact storage and tracking in MLOps workflows.
Deploy Applications in GCP: Build Docker and Serve Application with StreamLit
Aprende a desplegar aplicaciones en GCP: clona repositorios, instala Docker, crea imágenes y sirve aplicaciones con StreamLit.
Serving LLMs with MLflow - Phi-3-mini-4k-instruct Model
Aprende a crear, guardar y cargar modelos LLM con MLflow, utilizando Phi-3-mini-4k-instruct para inferencia local en tu computadora.
MLOps: Crafting Custom Models with Python Model and PyFunc in MLFlow
Craft custom models using MLFlow's PythonModel and pyfunc, enhancing your MLOps workflow with flexible and reusable machine learning components.
LangServe: Creating a RESTful API for Langchain
Create a RESTful API for LangChain runnables and chains, enabling seamless integration of machine learning models into applications.
Langchain: Interacting with APIs Using OpenAI
Explore API interaction using Langchain and OpenAI models for data science and machine learning applications. Learn practical implementation techniques.
Web Scraping with Langchain and OpenAI - Working with HTML Content
Learn web scraping techniques using Langchain and OpenAI, focusing on extracting and processing HTML content for data science and machine learning applications.
Code Understanding with Langchain, CodeLLama, Llama.cpp and OpenAI
Explore Langchain for Python code understanding, integrating CodeLLama, Llama.cpp, and OpenAI for enhanced machine learning capabilities.
Langchain: Working with Structured Data, Databases, and CSV Files
Explore structured data manipulation using Langchain and OpenAI for data science and machine learning applications.
Building Chatbots with LangChain and OpenAI
Construye chatbots avanzados utilizando LangChain y OpenAI. Aprende técnicas de procesamiento de lenguaje natural para crear asistentes virtuales inteligentes y personalizados.
Data Extraction with LangChain and OpenAI for Machine Learning and Data Science
Extraer información de fuentes no estructuradas utilizando LangChain y OpenAI para aprendizaje automático y ciencia de datos.
Langchain and OpenAI Document Summarization with Machine Learning
Explore document summarization using LangChain and OpenAI. Learn to implement efficient text condensation techniques for machine learning and data science applications.
Microsoft AI: Introduction to the Semantic Kernel SDK
Explore Microsoft's Semantic Kernel SDK for integrating LLMs with C#, Python, and Java. Learn to combine AI models with traditional programming for enhanced applications.
NLP Spacy: PII/GDPR Detection with Presidio - Part 2 - Code and REST API
Develop a PII/GDPR detector using Microsoft Presidio and Spacy, implementing a REST API with FastAPI and CI/CD pipelines with Azure DevOps and Docker Compose.
Machine Learning with EEG Time-Series - Easy Python Project - Part 0
Learn to classify EEG data between awake and asleep states using Python and random forest. Covers data loading, preprocessing, feature engineering, and machine learning implementation.
Selecting the Right Cross-Validation Method in Machine Learning
Learn to choose the right cross-validation method for your machine learning model based on data characteristics, including hold-out, k-fold, time-split, and group-fold techniques.
Sleep Classification with Python Using EEG, Sklearn and MNE - Part 1
Enhance EEG sleep stage classification using Python, Sklearn, and MNE. Expand dataset, add new class, and implement Leave-One-Subject-Out cross-validation for improved results.
Face Anonymization with Python - Blurring and Pixelating Techniques
Anonymize faces in images using Python: detect, blur, and pixelate for privacy. Learn CPU and GPU techniques, compare results, and ensure data protection in your projects.
Introduction to Python
Learn Python basics, including data types, variables, and control structures. Gain hands-on experience with coding exercises and practical examples for beginners.