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Kaggle Competition Project Practice

- Practical Kaggle Competition Project: From Data Exploration to Submission - Beyond Tutorials: Follow a Real Kaggle Competition from Start to Finish Have you signed up for Kaggle and completed the Titanic tutorial, only to feel lost about where to start when facing a real competition? If you simply copy someone else’s notebook and submit it, you’ll eventually hit the wall of wondering, "Why isn’t my score improving?" In this course, we’ll work through an actual Kaggle competition from start to finish, covering data exploration, validation design, feature engineering, modeling, and submission. Instead of memorizing code, you’ll develop an intuitive understanding of the competition mindset: “What should I try and why, and how can I validate its effectiveness?” [One line about your competition participation, awards, or practical experience]

2 learners are taking this course

Level Basic

Course period Unlimited

Python
Python
AI
AI
Machine Learning(ML)
Machine Learning(ML)
Big Data
Big Data
Data Engineering
Data Engineering
Python
Python
AI
AI
Machine Learning(ML)
Machine Learning(ML)
Big Data
Big Data
Data Engineering
Data Engineering
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