Day 38 at Luminar Technolab Worked with Pandas DataFrame selection using iloc and explored different ways to access rows and columns. Getting more comfortable navigating structured data #Python #Pandas #DataAnalysis #LearningJourney

Just finished implementing an Event Scheduler in Python for my Algorithm Engineering class! This project explored the trade-offs between Heaps (priority), Hash Tables (speed), and Balanced Trees (order) to build a scalable system. Here is a video of the program running with a sample data. #Python #DataStructures #AlgorithmEngineering #CSUF #Spring2026

Ever wondered how house prices are predicted? This project shows how to build a simple model step by step. Easy to follow and great for practice. #DataScienceProjects #MLLearning #PythonCoding

Get started with machine learning using Python and discover how to build intelligent systems that can learn from data and improve their performance over time with this comprehensive guide https://lnkd.in/gDJ28K-Y #MachineLearningWithPython Read the full article https://lnkd.in/gDJ28K-Y

#Day2 of my #30dayscodingchallenge What I learned today: • Variables and data types in Python • Taking user input • Basic arithmetic operations Mini Project: I built a simple calculator using Python that can perform addition, subtraction, multiplication, and division. Key takeaway: Every big skill starts with small basics. Understanding fundamentals clearly is the real game changer. I am committed to showing up every single day and improving step by step. If you are also learning or planning to start, let’s connect and grow together #30daysofcode #pythondeveloper #codingjourney #learnpublic #fullstackdeveloper

Although it’s not ready for prime time, here is a short chunk of python that can measure intensity from a face using OpenCV over a given time interval. Next up: turn this signal into a time series data set. https://lnkd.in/gv_rgf3X

Real data is never clean. Save this cheat sheet for the next time you are dealing with messy text columns. 12 pandas string functions. Grouped by what they actually do. Clean it. Find it. Transform it. Validate it. Follow Everyday Data People for a cheat sheet every day. #Python #Pandas #DataCleaning #DataScience #DataAnalytics #EverydayDataPeople

When more people can work with data, better insights follow. Swipe to see KNIME and Python work better together. ⬇️ Learn more: https://bit.ly/4bSj9Ov

Spent time learning RAG properly — built the full  pipeline from scratch. Here's everything that actually matters 👇 🔗 Live demo: https://bit.ly/3QrA1o2 📓 Full notebook: https://bit.ly/3Qo4ljr #RAG #LLM #MachineLearning #Python #AI