Car Price Predictor Built with Linear Regression and Streamlit

#Python + #Agents starts in less than a week! Join us in a new series of 6 livestreams where we'll explore the fundamental concepts for creating AI agents in Python using the #MicrosoftAgentFramework. This series is for anyone who wants to understand how agents work, including how they make tool calls, how they use memory and context, and how to build workflows on top of them. Over two weeks, we'll delve into the practical building blocks that define the real-world behavior of an agent. 🔗 Register here: https://msft.it/6044QXs92 See you in class! #MSFTAdvocacy

Lightweight Debugger Launched to Enhance RAG Pipeline Debugging for Vector Retrieval 📌 Agent-memory-inspector just dropped - a sleek, lightweight debugger that finally brings transparency to vector retrieval in RAG pipelines. In under 60 seconds, developers can trace queries, inspect scores, and analyze latency, tackling the notorious "black box" problem in AI search. This new tool is a game-changer for teams building reliable, high-performing retrieval systems. 🔗 Read more: https://lnkd.in/dnq8D6ip #Vectorretrieval #Ragpipeline #Python #Debuggingtool

Kaggle Link of the dataset:- https://lnkd.in/dwWxstDD 📱 Excited to share a smartphone dataset I built using Selenium web scraping! It includes specs like price (₹), processor, camera, display, and OS. This dataset can be helpful for EDA, feature comparison, and machine learning projects. Looking forward to gaining more insights from this data! #DataScience #Python #Selenium #WebScraping #Dataset #MachineLearning

This is how we built a Ai token counter from scratch — in Python. No fluff. Just code. Part 1: Building a token counting tool 🛠️ Here's what we used: tabulate → clean, readable tables rich → beautiful terminal output The tool compares token counts across different AI models. Side by side. In real time. This is how you stop guessing and start knowing your costs. Save this post. Share it with your team. Follow for Part 2 — where we go deeper. Tags & Keywords: #Python #BuildInPublic #LLMTools #TokenCounting #AIEngineering #RichLibrary #Tabulate #OpenAI #Claude #Anthropic #PythonDev #AITools #LLMOps #MachineLearning #DevTools #SoftwareEngineering #AIProducts #TechContent #PythonProgramming #Part1

Excited to share my first Machine Learning project I built and deployed a Social Ads prediction model using Python, Scikit-learn, Gradio, and Hugging Face Spaces. The app lets users input data and get real-time predictions from the trained model. Try it here: https://lnkd.in/gTXyQPFy This project helped me learn the full ML workflow from preprocessing and model tuning to deployment.

Built a Car Price Prediction model using Machine Learning with Linear Regression. Performed data cleaning, feature encoding using OneHotEncoder, and created a pipeline with ColumnTransformer. Trained and evaluated the model to predict used car prices based on company, model, year, kilometers driven, and fuel type. Sharing the demo video of the project. Thanks to @InternPe for the opportunity. #MachineLearning #LinearRegression #DataScience #Python #InternPe

Turning my webcam into a game controller using Python! 🐍🎮 I wanted to explore Computer Vision concepts, so I built a hands-free controller for Hill Climb Racing. Instead of using a keyboard, I used Python to track hand landmarks in real-time. How it works: 🔹 OpenCV captures the video feed. 🔹 MediaPipe detects hand skeleton landmarks. 🔹 PyAutoGUI maps specific gestures to keyboard inputs (Palm = Gas, Fist = Brake). It was a fun challenge to minimize latency and get the "driving" to feel responsive. Check out the demo below! 👇 #Python #ComputerVision #OpenCV #MediaPipe #Coding #SoftwareEngineering #Project #AI

🚀 Built an A* Pathfinding Visualizer using Python & Tkinter I recently implemented the A* (A-Star) Algorithm with a graphical interface using Python. 🔹 Implemented Manhattan Heuristic 🔹 Used Priority Queue (heapq) 🔹 Even numbers treated as obstacles 🔹 Animated shortest path visualization 🔹 Built interactive grid using Tkinter This project helped me understand: ✔️ Heuristic search ✔️ Open & Closed sets ✔️ g(n), h(n), f(n) concepts ✔️ Real-world applications like maps & games Excited to explore more in AI and algorithm visualization 🚀 #Python #AI #DataStructures #Algorithms #Pathfinding #ComputerScience #Learning

Sharing a quick demo of a project I built: an end-to-end Machine Learning web app that turns raw tabular data into insights in minutes. 🎥 Demo video attached. #MachineLearningEngineer #DataScientist #Python #Hiring #ML #EDA #OpenSource