The Ultimate Cheat Sheet for Handling Missing Data in Python

Clean the DataSet.

• 1. Dealing with Missing Data
• 2. Dealing with Duplicates
• 3. Outlier Detection
• 4. Encode Categorical Features
• 5. Transformation

Steps to implement :

1. Open Jupyter Notebook.
2. Declare a dummy dataframe using pandas.
3. Then implement the below methods.

1. Methods to check missing values

2. Removing Missing Data

3. Filling Missing Data

4. Dealing with Duplicates

5. Outlier Detection & Handling

6. Encoding Categorical Features

7. Feature Transformation

8.Detecting and Handling Infinite Values

When to Remove vs. Fill Missing Data?

Useful Resources :

1. Python Playlist 

2. AI Career Path in 2025

3. Machine Learning 

4. Learn Statistic

5. Learn Data Visualization

6. Data Analyst Interview Preparation Guide

Follow and Subscribe Our Channel