Hi Reader,

I hope you're having a great week!

🗒️ My notes on AI agents

I've been diving into AI agents lately as part of my Python for AI Projects course (I will share some updates with you on this in the coming day 😊).

During this process, I put together a monster 20+ page note on AI agents that I wanted to share with you. Here's the link.

Whether you're just curious about AI agents or want to build your own, I think you'll find this useful.

AI agents are everywhere right now! Some people claim that "every SaaS needs an AI agent" to improve its operation and user experience. Bill Gates even says the biggest tech race right now is all about who builds the best AI agent.

Even my boring old bookkeeping app now magically pulls data from my invoices and fills everything out automatically.

Life-changing!

I'm sitting here wondering why we've been manually typing dates and amounts like cavemen all this time! 😅

Learn By Doing! 🛠️ (Project tutorial archives)

If you want to truly understand something like AI agents, you've got to roll up your sleeves and build something!

My own Data Science/ AI projects have taught me WAY more than any textbook ever could.

I've got more ideas and tutorials coming your way, so make sure you keep an eye on my Youtube videos.

✅ Here are my favorite tutorials in the past:

(Warning: some of the older videos have that "I-was-still-figuring-out-video-editing" kind of quality, so my apologies in advance! 🥲).

1. How to Create a Beautiful Python Visualization Dashboard With Panel/Hvplot ​

2. Network of The Witcher | Relationship & Network Analysis​

🕸️ What it’s about: I extract relationships between characters in The Witcher universe and map them out using network analysis.

3. How to Create a Python Dashboard for Audio Data | AssemblyAI + Panel ​

🎧 What it’s about: Audio meets analytics. I built a dashboard that analyzes and visualizes audio data using AssemblyAI and Panel—super cool for podcast or voice data fans.

4. I Analyzed 1000 Data Science Books on Amazon ​

📚 What it’s about: Ever wondered what makes a good data science book? I analyzed 1,000 Amazon listings to uncover trends, titles, and clusters of similar books using k-means. Great project for those interested in NLP, exploratory data analysis and unsupervised learning.

5. Building a Chatbot with ChatGPT API and Reddit Data​

📚 What it’s about: I built a chatbot that can answer questions based on content pulled from real Reddit threads. It's a practical, fun way to explore LLMs and APIs.

6. I Analyzed My Finance With Local LLMs​

💡 What it's about: I utilized local LLM via Ollama to analyze my personal financial data, ensuring privacy while gaining insightful analytics.

7. Extracting Structured Data From PDFs | Full Python AI Project (ft. Docker)​

📄 What it's about: I demonstrate how to extract structured data from PDFs using Python, GPT-4, Streamlit and Docker, turning unstructured documents into usable datasets.

8. I Used AI to Track My Screen Time—Here’s What I Learned​

📱 What it's about: I downloaded my screen time and analyzed it using AI, uncovering patterns and insights about my digital habits.

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Have a great rest of the week ❤️.

Thu