This Is What You Can Expect at Tinz Twins Hub

Updated: May 30, 2026

Our AI Engineering Hub is a guide-based learning platform. You can work through each guide independently.

Discover our comprehensive collection of practical guides covering various topics such as Generative AI, Large Language Models, Agentic AI, Python in Finance, Machine Learning methods, and more. Enjoy learning!

😉 Insights

• 🆓 Our Journey to Become a Data Scientist (Öffnet in neuem Fenster)

• 🆓 DSBoost Interview (Öffnet in neuem Fenster)

🐍 Python in Finance

• 🆓 A Beginner’s Guide to the OpenBB (Öffnet in neuem Fenster)

• 🔒 EDGAR Tools: Python Package to Get SEC Filings (Öffnet in neuem Fenster)

• 🆓 Bollinger Bands: A Guide with Python and OpenBB (Öffnet in neuem Fenster)

• 🔒 DateTimeIndex in Pandas for Time Series Analysis (Öffnet in neuem Fenster)

• 🔒 Stock Market Data: Time Resampling with OpenBB and Pandas (Öffnet in neuem Fenster)

• 🆓 Time Shifting in Pandas Using Stock Market Data (Öffnet in neuem Fenster)

• 🔒 Portfolio Allocation: Analyze a Stock Portfolio Using Python (Öffnet in neuem Fenster)

• 🔒 Mastering the Capital Asset Pricing Model (CAPM) Using Python (Öffnet in neuem Fenster)

• 🔒 Portfolio Optimization Using the Markowitz Model in Python (Öffnet in neuem Fenster)

• 🔒 Build a Segmented Revenues API for Public Companies (Öffnet in neuem Fenster)

• 🔒 Visualize financial data with beautiful Sankey diagrams (Öffnet in neuem Fenster)

• 🔒 Convert a Time Series into a Classification Problem (Öffnet in neuem Fenster)

• 🔒 Detection of Credit Card Fraud with an Autoencoder (Öffnet in neuem Fenster)

🧠 Machine Learning Methods

• 🔒 Linear Regression: Theory and Practice (Öffnet in neuem Fenster)

• 🔒 A Visual Guide to Ensemble Methods + Practical Example (Öffnet in neuem Fenster)

• 🆓 Artificial Neural Network from Scratch (Öffnet in neuem Fenster)

• 🆓 Convolutional Neural Networks: A Beginner Guide (Öffnet in neuem Fenster)

• 🔒 Basic Concepts Of Explainable Artificial Intelligence (Öffnet in neuem Fenster)

📈 Statistics

• 🔒 Univariate Discrete Distributions (Öffnet in neuem Fenster)

• 🆓 Bootstrap Method: An Introduction With a Python Example (Öffnet in neuem Fenster)

• 🆓 An Introduction to Cross-Validation (Öffnet in neuem Fenster)

• 🆓 Return Correlation in the Portfolio Example (Öffnet in neuem Fenster)

• 🔒 Time Series Analysis: A Beginner’s Guide with statsmodels (Öffnet in neuem Fenster)

• 🔒 Introduction to ARIMA Models for Newbies (Öffnet in neuem Fenster)

• 🔒 An Introduction to ETS Models (Öffnet in neuem Fenster)

• 🔒 Time Series Analysis: Exponentially Weighted Moving Average (Öffnet in neuem Fenster)

🤖 GenAI, LLMs, and RAG

• 🆓 Run GenAI Models locally with Docker Model Runner (Öffnet in neuem Fenster)

• 🆓 Build a Local RAG App to Chat with Earnings Reports (Öffnet in neuem Fenster)

• 🆓 Build a Local Chatbot in Minutes with Chainlit (Öffnet in neuem Fenster)

• 🔒 LangChain: A Beginner Guide (Öffnet in neuem Fenster)

• 🔒 LangChain: Chat with Earnings Reports of Companies (Öffnet in neuem Fenster)

• 🔒 LangChain: Chat with an Earnings Call on YouTube (Öffnet in neuem Fenster)

• 🔒 Prompt Engineering for Developers: A Practical Guide (Öffnet in neuem Fenster)

• 🔒 Build an OpenAI-Compatible API for Open-Source LLMs from Scratch (Öffnet in neuem Fenster)

• 🔒 Responsible Development of an LLM Application (Öffnet in neuem Fenster)

• 🔒 Keyword Search and LLMs (Öffnet in neuem Fenster)

• 🔒 Lamini: Fine-Tune a Large Language Model (Öffnet in neuem Fenster)

↔️ Agent Protocol Stack

• 🆓 Anthropic’s Model Context Protocol (MCP) with Python (Öffnet in neuem Fenster)

• 🆓 Expose an Agno Agent as an AG-UI Compatible App (Öffnet in neuem Fenster)

• 🔒 Turn Your Agno AgentOS Into a Powerful MCP Server (Öffnet in neuem Fenster)

• 🔒 How to Expose Agno Agents Using the A2A Protocol (Öffnet in neuem Fenster)

✨ Agentic AI Systems

• 🆓 Agent Engineering with Agno (Öffnet in neuem Fenster)

• 🆓 Build an AI Finance Agent Team (Öffnet in neuem Fenster)

• 🆓 Build an AI Investment Agent with Chainlit (Öffnet in neuem Fenster)

• 🆓 Build a Local AI Agent to Chat with Financial Charts Using Agno (Öffnet in neuem Fenster)

• 🆓 Build a Local AI Agent with Memory Using Agno (Öffnet in neuem Fenster)

• 🆓 Build a Local AI Agent with Knowledge and Storage Using Agno (Öffnet in neuem Fenster)

• 🆓 Build a Multi-Agent Stock Market Analyst to Compare Stock Price Performance (Öffnet in neuem Fenster)

• 🆓 Create a Local AgentOS with Agno (Öffnet in neuem Fenster)

• 🔒 Turn Your Agno AgentOS Into a Powerful MCP Server (Öffnet in neuem Fenster)

• 🔒 Build a financial multi-agent system with AG2 and Ollama (Öffnet in neuem Fenster)

👨🏽‍💻 Programming Best Practices

• 🆓 7 Hidden Python Tips (Öffnet in neuem Fenster)

• 🆓 Speed Up your NumPy Code with NumExpr (Öffnet in neuem Fenster)

• 🆓 Tips and Tricks to Improve Your R Skills (Öffnet in neuem Fenster)

• 🆓 Unlock the Full Potential of Python (Öffnet in neuem Fenster)

• 🆓 Speed Up your Python Skills (Öffnet in neuem Fenster)

🖥️ Web Development

• 🆓 REST API: The Hero of Modern Web Development (Öffnet in neuem Fenster)

• 🆓 An Introduction to FastAPI (Öffnet in neuem Fenster)

• 🆓 Understand Service Workers of a PWA (Part 1) (Öffnet in neuem Fenster)

• 🆓 Understand the Offline Functionality of a PWA (Part 2) (Öffnet in neuem Fenster)

• 🔒 Build a Chatbot with Plotly Dash (Öffnet in neuem Fenster)

• 🔒 Build Enterprise-Level Apps with Plotly Dash (Öffnet in neuem Fenster)

• 🆓 Build Web Apps with Reflex in Minutes Using Pure Python (Öffnet in neuem Fenster)

• 🔒 Build a Stock Dashboard with Reflex and OpenBB (Öffnet in neuem Fenster)

• 🔒 Build Full-Stack Chatbot App in Python Using Reflex and Agno (Öffnet in neuem Fenster)

• 🔒 Deploy a Plotly Dash App to Hugging Face Using Docker (Öffnet in neuem Fenster)

• 🆓 Deploy a Web App With Docker on Render (Öffnet in neuem Fenster)

📊 Data Visualization

• 🆓 Create Impressive Charts Using Plotly Express in Python (Öffnet in neuem Fenster)

• 🔒 Visualize financial data with beautiful Sankey diagrams (Öffnet in neuem Fenster)

💻 Development and Operations

• 🆓 Homebrew - Package Manager for Mac (Öffnet in neuem Fenster)

• 🆓 Using Miniconda x86_64 & Apple Silicon Side-by-Side (Öffnet in neuem Fenster)

• 🆓 A beginner-friendly introduction to Docker (Öffnet in neuem Fenster)

• 🆓 Create a local AI Coding Assistant for VSCode (Öffnet in neuem Fenster)

• 🔒 Our Ultimate Local AI Coding Setup in VS Code (Öffnet in neuem Fenster)

• 🔒 Poetry: Python Dependency Management (Öffnet in neuem Fenster)

• 🔒 Pytest: Efficient Testing of Python Code (Öffnet in neuem Fenster)

• 🆓 Set Up a PostgreSQL Database With Docker (Öffnet in neuem Fenster)

• 🆓 Working with Time Series Data Using Postgres (Öffnet in neuem Fenster)

• 🆓 Set Up a GitLab Server with Docker (Öffnet in neuem Fenster)

• 🔒 Set up a Docker-based SFTP server (Öffnet in neuem Fenster)

• 🔒 MLflow Workspace On-Premise with Docker (Öffnet in neuem Fenster)

📱 Project Management

• 🆓 Code Documentation with MkDocs (Öffnet in neuem Fenster)

• 🆓 CRISP-DM: CRoss Industry Standard Process for Data Mining (Öffnet in neuem Fenster)

• 🔒 Efficient Use of KPIs in Data Science Projects (Öffnet in neuem Fenster)