Python for AI
Beginner
4.5

Pandas for Data Cleaning

The handful of pandas operations you use in almost every ML project.

1h 30m
1 lesson
1.2K students

What You'll Learn

Learning objectives will be added soon.

Tutorial Content

Load and inspect

import pandas as pd
df = pd.read_csv("data.csv")
df.head(); df.info(); df.describe()

Clean it up

df = df.drop_duplicates()
df["age"] = df["age"].fillna(df["age"].median())  # impute missing
df["email"] = df["email"].str.strip().str.lower() # normalize text
df = df[df["age"].between(0, 120)]                 # drop impossible values

Why this matters

Real datasets are messy, and models are only as good as their inputs. Mastering these few operations covers the majority of day-to-day data wrangling.

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Tags

Python
Data Science
Beginner