Yellow Cover of Mapping Categorical to Numerical Data with pandas in Python. This template resource  is from 365 Data Science.

Mapping Categorical to Numerical Data with pandas in Python Template

The following Mapping Categorical to Numerical Data with pandas in Python template shows how to deal with categorical variables in a dataset. The dataset contains an 'Attendance' feature whose categories are either 'Yes' or 'No'. The program maps the 'Yes' and 'No' categories to 1s and 0s using the pandas library. Download and unzip the .zip file in a new folder. Inside the folder you will find a .csv and a .ipynb file. The first one contains the database and the second one contains the Python code. Open the .ipynb file using Jupyter notebook. Some other related topics are Dummy Variables with pandas Python, Removing Missing Values with pandas Python, Removing Outliers with pandas Python. You can now download the Python template for free. This template is among the topics covered in detail in the 365 Data Science program.

Hristina Hristova
Course Author

Who is it for

This is an open-access Python template in .ipynb format that will be useful for anyone who wants to work as a Data Analyst, Data Scientist, Business Analyst, Statistician, Software Engineer, and anyone who works with Python.

How it can help you

More often than not, datasets include features that are not numerical but rather categorical - such are, for example, gender, occupation, country, etc. Unfortunately, algorithms need to be fed with numbers. This template can be used whenever we are faced with such a problem.

Join 2M Students and Start Learning from the best

The 365 Data Science program is great for beginners. It gives in-depth knowledge and clears every concept. After every lecture, some exercises are given for students to complete for practice, and solutions also. I would highly recommend this program to everyone who wants to be a data scientist and brush up their skills.

harshita sharma Pakistan

The 365 Data Science course is outstanding, it has an outstanding interface and awesome courses from a basic to an advanced level. I really appreciate the quality of the material and the content of this Data Science course!! Thanks to the 365 Data Science team!

Rakesh Patel United States

The 365 Data Science program was excellent. It does meet my expectations 100%. I do thank the 365 Data Science Team for putting this great work together in one package & with a very reasonable price. Hands down, you are the best! Please, keep this great work up!

Amrouni France

Mapping Categorical to Numerical Data with pandas in Python Template