Data Analysis with NumPy ChatGPT Cheat Sheet

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Data Cleaning

Use ChatGPT for guidance on how to clean data with NumPy, including handling missing values and outliers.

Examples:

How can I replace all NaN values in my

{{dataset name}}

using NumPy?
What's the best way to handle outliers in my

{{dataset name}}

using NumPy?

Array Operations

Clarify any doubts regarding basic and advanced operations on arrays with NumPy.

Examples:

How can I add/subtract/multiply/divide two NumPy arrays?
Explain how to perform element-wise multiplication of two arrays in NumPy?

Statistical Analysis

Get help with running various statistical analyses on a dataset using NumPy.

Examples:

How can I compute the mean of my

{{dataset name}}

using NumPy?
What's the simplest way to calculate standard deviation of

{{dataset name}}

with NumPy?

Linear Algebra

Use ChatGPT to understand performing Linear Algebra operations with NumPy.

Examples:

How to calculate the determinant of a matrix in NumPy?
Explain how to solve a system of linear equations using NumPy?

Data Manipulation

ChatGPT can assist in explaining different ways of manipulating data with NumPy.

Examples:

How can I split my

{{dataset name}}

into training and testing sets using NumPy?
Can you explain how to concatenate arrays in NumPy?

Random Numbers

ChatGPT can provide guidance on how to generate and manipulate random numbers in NumPy.

Examples:

How can I generate a random number in NumPy?
How to generate a random array of size

{{n}}

in NumPy?
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