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.
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📌 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...
📊 Free Dataset Used: https://topmate.io/ayushi_mishra/1981139
🔥 Job Preparation and Interview Guide: https://topmate.io/ayushi_mishra/page...
🔥 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: / ayushi-mishra-30813b174
✅Instagram: / techie.data
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#MachineLearning #Python #DataScience
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