From 9ab3e1d515804c8f3d124b560db6427931aa7f97 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Thu, 18 Dec 2025 10:17:59 +0000 Subject: [PATCH 1/2] Initial plan From cb5374c900a37d86afd7400afdf3597e48b842ab Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Thu, 18 Dec 2025 10:21:12 +0000 Subject: [PATCH 2/2] Fix typos in Data Analysis with Python documentation Co-authored-by: samiMazari <124626164+samiMazari@users.noreply.github.com> --- Data Analysis with Python/0.About.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/Data Analysis with Python/0.About.md b/Data Analysis with Python/0.About.md index f196ab7..9c4c5fa 100644 --- a/Data Analysis with Python/0.About.md +++ b/Data Analysis with Python/0.About.md @@ -1,9 +1,9 @@

Data Analysis With Python

- In this Data Analysis With Python : - - you will learn to use the most important libraries for analyzing data in Python, including NumPy, Pandas, and Klearn. + - you will learn to use the most important libraries for analyzing data in Python, including NumPy, Pandas, and sklearn. - Python libraries are integral to becoming a data scientist and used in industries such as healthcare, finance, insurance, all things Internet, and many others. - - you will learn how to analyzing data, you'll learn how to build data pipelines and build your own machine learning model for making predictions on real world data set. + - you will learn how to analyze data, you'll learn how to build data pipelines and build your own machine learning model for making predictions on real world data set. ### 1. Data Wrangling : - Data wrangling.