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Python Learning for AI — Day 9: Packages & Virtual Environment Part 1 Continue your Python Learning for AI journey with Day 9! In this lesson, you’ll learn how to work with Python packages and virtual environments, an essential part of building organized AI and machine learning projects. You’ll learn how to create a virtual environment, check your Python and pip versions, upgrade pip, install and import packages, and install and use NumPy inside your project environment. Day 9 — Packages & Virtu
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Data Extraction & Cleaning using an online retail dataset on Kaggle. ° °We start by importing Pandas, a library used for data manipulation and analysis. °We load our dataset, a CSV file using `pd.read_csv` and set encoding to handle special characters in the data. °We use `head()` function to get a view of the first five rows of our data. °We then move on to cleaning the data, using different functions. °`isnull().sum()` for the number of missing values in each column. °`dropna()` to remove/drop
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