In this series, we're going to learn the fundamentals of the popular Python data science tool called Pandas.
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Oct 20, 2021 - Jupyter Notebook
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python-pandas
Pandas is an open source Python library for fast and flexible data analysis and manipulation. It provides powerful data structures such as Series and DataFrame that make it easy to clean, transform, analyze, and work with structured data. Widely used in data science, machine learning, and analytics, Pandas simplifies tasks like filtering, grouping, merging datasets, and handling missing values while integrating seamlessly with the Python ecosystem.
Here are 5 public repositories matching this topic...
Project examines factors affecting the change in car sales between 2019 and 2020 utilizing real world data, python, pandas, matplotlib and jupyter notebook.
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Feb 10, 2021 - Jupyter Notebook
This is a kaggle dataset's notebook
scikit-learn data-visualization python-programming data-analysis python-numpy feature-engineering python-matplotlib python-project python-pandas data-science-projects kaggle-notebook machine-learning-project python-seaborn
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Aug 1, 2026 - Jupyter Notebook
Purchase Analysis of purchasers broken down by gender, age, and user ID utilizing Jupyter notebooks, python, and the pandas library.
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Feb 10, 2021 - Jupyter Notebook
Statistical analysis of a pharmaceutical study on 249 mice to determine the relative success of one drug over 9 competitors. The project utilized Python, Pandas in Jupyter Notebook, and Matplotlib to visualize the data.
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Jun 30, 2021 - Jupyter Notebook
Created by Wes McKinney
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