Introduction to Data Science with Python

Boolean Masking

Explore how to apply boolean masking with NumPy to filter, count, and modify array values based on conditions. Understand masking operations on one- and two-dimensional arrays, enabling you to efficiently handle and analyze data.

We'll cover the following...

Boolean mask arrays
Masking operations

1.Introduction

2.Python Essentials

3.NumPy: Data Analysis

4.Pandas: Data Analysis

5.Matplotlib: Data Visualization

6.Seaborn: Statistical Data Visualization

Project

7.Pandas: Data Visualization

8.Plotly: Interactive Data Visualization

9.Project 1: Oil vs. Banks During Recession

10.Project 2: Emergency Calls Dataset

11.Wrap Up

Boolean Masking

Boolean mask arrays