Business Analytics Organization at University of Illinois at Chicago’s Post

Jim Dowling explains the secret sauce to TikTok’s recommendation system. TikTok learns your preferences incredibly fast by updating your features (clicks) in mere seconds and uses that input for making predictions. 🔮 This clip is from Jim’s presentation at PyData Berlin where he showed the audience how to build their own TikTok-like personalized recommendation system in Python, of course using Hopsworks. https://lnkd.in/dCEP2UYv

🚀 Day 2 of #100DaysOfCode 🚀 I'm excited to share my second project: The Tip Calculator! This Python program helps you calculate how much each person should pay when splitting a bill, including the tip. 🧮💸 💡 What I Learned: Handling user input and type conversion in Python. Basic arithmetic operations Formatting numbers to two decimal places using the 'format' function. Here's a snippet of the code:

Day 2 of #100DaysOfCode Challenge Complete! Today was all about diving deeper into Python fundamentals. Here's what I learned: ✅ Python Primitive Data Types ✅Type Checking and Type Conversion ✅ Mathematical Operations in Python ✅ Number Manipulation and F-Strings The highlight of my day was building a Tip Calculator! 💡 It's a small project, but it's amazing how much you can accomplish with just a few lines of code. While it may seem like a simple project, it's a solid foundation for more complex applications in the future.

💡 Just added a new set of videos on for loops, range and enumerate functions to the Master Python fundamentals course: Can you solve this challenge? 💎 Learn some real Python here 👇 https://lnkd.in/esNZp9m2

We're finally there! Come with me to conclude my series of posts where a tiny Python project is built to calculate advantages, disadvantages and immunities of Pokémon species from a generation! In this series, I went through many Python base concepts, as I did with some architectural patterns and good practices concepts. Let's have fun mixing Pokémon and Python together!

There is a new cool update to the DrillEda tool that I shared with you guys two weeks ago! Not only that but there is also a Python library that you can use for free now in your workflow 😁 👌 Watch my latest video to see what's new 👇 : https://lnkd.in/e6VSDbPa

Hey everyone! I just uploaded a new video on YouTube about Python Matplotlib. If you're interested in learning how to create amazing plots and visualizations with Python, this video is for you! 📊In this video, I cover:Introduction to MatplotlibBasic plotting functionsCustomizing plots (colors, labels, and styles)Creating different types of charts (line, bar, scatter, etc.)Advanced features and tipsCheck it out and let me know what you think! Your feedback and support mean a lot to me. 😊Watch the video here! https://lnkd.in/gDNbTmk4 !Happy coding!

If you haven't heard about LangChain yet, just know you'll likely encounter it soon. Check out the slides for five fun facts about this awesome python framework! Bonus: Here's a link to a course I took and highly recommend! https://lnkd.in/es2JmE8Y

Do you struggle to make sense of your data with clunky tools? Try Jenny instead! 😊 Simply load your data and enter a short prompt—Jenny takes care of the rest. Jenny will generate the plot, explain how your data was processed, and even create Python code. What are you waiting for? Start your free trial with Jenny today at genofeva.ai!

📐 Perplexity is a classic metric for evaluating LLMs, but how deeply do you understand it? Could you implement it from scratch in Python? 📖 In my latest tutorial, I break down the history, intuition, and math behind perplexity, with step-by-step instructions for implementing it from scratch in Python. As a bonus, you'll also learn to integrate it as a custom metric in #Opik, an LLM evaluation framework by Comet. 👉 Explore the full tutorial and Colab notebook here: https://lnkd.in/eNPeknte 👈