</>SkillRecallRECALL WHAT YOU KNOW
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AI FundamentalsData Preprocessing and Feature Engineering

20 items

1

Mean Imputation With Sentinel Values

Code Quiz
2

Preventing Data Leakage in Imputation

Quiz
3

Scaling Train and Test Data

Code Quiz
4

Encoding High-Cardinality Categorical Features

Quiz
5

Feature Engineering & Encoding Essentials

Flashcard
6

Feature Engineering & Encoding Essentials

Slides / Video
7

Dropping Missing Rows in Pandas

Code Quiz
8

Handling Missing Data in Pandas

Quiz
9

Filtering a DataFrame with two conditions

Code Quiz
10

Filtering Rows in Pandas

Quiz
11

Handling Missing Data & Duplicates

Slides / Video
12

Pandas: Load, Filter & Select Data

Slides / Video
13

Handling Missing Data & Duplicates

Flashcard
14

Pandas: Loading, Filtering & Selecting Data

Flashcard
15

Encoding, Scaling & Transformations

Slides / Video
16

Handling Missing Data & Outliers

Slides / Video
17

Encoding, Scaling & Transformations

Flashcard
18

Handling Missing Data & Outliers

Flashcard
19

Detecting Outliers with IQR

Code Quiz
20

One-Hot Encoding a Category Column

Code Quiz
Quiz

Encoding High-Cardinality Categorical Features

Choosing the right encoding strategy for a categorical feature with thousands of unique values.

You have a 'zip_code' feature with 5,000 unique values feeding a linear regression model. Which encoding approach is generally most appropriate?