Invoice Intelligence Machine Learning Project | Python + SQL + Scikit-Learn + Deployment
Build a real Machine Learning project you can show in interviews not just a notebook. This end-to-end ML system covers data preprocessing, model training, Streamlit UI, and production deployment with Python & Scikit-Learn. 🔔 Subscribe for weekly real-world ML & Data Science projects 📌 This video is for you if: - You're a data science job seeker building a portfolio - You're an intermediate Python learner ready for real ML projects - You want a resume-ready project that impresses in ML interviews - You're moving toward a Data Scientist or ML Engineer role In this video, we cover: - Data Preprocessing & Feature Engineering using Python and SQL - Model Training & Hyperparameter Tuning using Scikit-Learn - Building a Modern UI with Streamlit - Model Deployment and Production Best Practices ⏱️ Timestamps: 00:00 - Why End-to-End Projects matter for your Resume 01:09 - Project Overview & Business Problem 03:58 - Regression Model Training 30:56 - Classification Model Training 01:03:53 - Streamlit App UI Development 🛠️ Tools & Tech Used: Python | Scikit-learn | Pandas | NumPy | Streamlit | GitHub 📌 Resources & Links 📂 Complete Code: https://topmate.io/ayushi_mishra/page/lAKgi0wOpY 📊 Free Dataset Used: https://topmate.io/ayushi_mishra/1981139 🔥 Job Preparation and Interview Guide: https://topmate.io/ayushi_mishra/page/62xps5j5IH 🔥 Book 1:1 call with me (Career Guidance, Resume Review, LinkedIn Profile Review) : https://topmate.io/ayushi_mishra/133733 🔥 7+Data Analysis Portfolio Ready Projects Resources: https://topmate.io/ayushi_mishra Follow me on: ✅LinkedIn: https://www.linkedin.com/in/ayushi-mishra-30813b174 ✅Instagram: https://www.instagram.com/techie.data/ 🎥 Watch Next: 📌 Complete Data Cleaning (Python): https://youtu.be/ZX8vmcSTCrc 📌 Machine Learning Full Course: https://youtu.be/RAniuQEl10s 📌 Statistics Full Course: https://youtu.be/S7LvZZNq4ys 📌 Upload Any Project on Github using Git Commands: https://youtu.be/_x-ripC0_LI #MachineLearning #Python #DataScience
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