Kaggle 30 Days of ML - Day 12 - Missing Values

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Kaggle 30 Days of ML - Day 12

📋 Today’s Assignment
1. Read this tutorial (from Lesson 1 of the Intermediate ML course)

2. Complete this exercise (from Lesson 1 of the Intermediate ML course)

3. Read this tutorial (from Lesson 2 of the Intermediate ML course)

4. Complete this exercise (from Lesson 2 of the Intermediate ML course)

5. Read this tutorial (from Lesson 3 of the Intermediate ML course)

6. Complete this exercise (from Lesson 3 of the Intermediate ML course)

💡 What You’ll Learn
In Lesson 1 (Introduction), you’ll learn more about what the course covers.

Most machine learning libraries (including scikit-learn) give an error if you try to build a model using data with missing values. In Lesson 2 (Missing Values), you’ll learn about three different approaches for dealing with missing values in your data.

A categorical variable is a variable that takes only a limited number of values, and it’s common to encounter them in data. Learn how to work with them in Lesson 3 (Categorical Variables).

اليوم 12 من 30 يوم مع تعلم الآلة.
هنتعلم فيه أول 3 دروس من المستوى المتوسط في تعلم الآلة:
هنعرف ازاي نتعامل مع القيم الناقصة (المفقودة) وازاي نحول القيم الفئوية لقيم رقمية يقدر النموذج يتعامل معاها بدون أخطاء.
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