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Kaggle 30 Days of ML (Day 13) - Scikit-Learn Pipeline, CrossValidation - Learn Python ML in 30 Days
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This is the Day 13 of Kaggle's 30 Days of ML Challenge where you can learn Machine Learning (based on Python) in 30 days (Kind of). It's not a competition but a challenge to make a habit of coding ML every day. If you haven't registered for the Kaggle Challenge Don't worry, You can follow along my videos every day.
From Kaggle Email:
💡 What You’ll Learn
In Lesson 4 (Pipelines), you’ll learn a simple way to keep your data preprocessing and modeling code organized.
You’re already a bit familiar with model validation from the Intro to Machine Learning course. In Lesson 5 (Cross-Validation), you’ll explore a more advanced validation technique that gives a better measure of model performance.
Courtesy: Kaggle Learn
Related Videos:
Kaggle Introduction Walkthrough to get you started with Data Science - Webinar
#kaggle #30daysofml #machinelearning #datascience
From Kaggle Email:
💡 What You’ll Learn
In Lesson 4 (Pipelines), you’ll learn a simple way to keep your data preprocessing and modeling code organized.
You’re already a bit familiar with model validation from the Intro to Machine Learning course. In Lesson 5 (Cross-Validation), you’ll explore a more advanced validation technique that gives a better measure of model performance.
Courtesy: Kaggle Learn
Related Videos:
Kaggle Introduction Walkthrough to get you started with Data Science - Webinar
#kaggle #30daysofml #machinelearning #datascience
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