Pandas Masterclass Part1
Автор: Rohit Tiwari
Загружено: 2025-06-06
Просмотров: 98
Prerequisites to understand this video?
You should have knowledge of very Basic Programming(Till data types and conditional)
About Pandas?
Pandas is a versatile Python library extensively used in AI, ML, Data Science, and Analysis. Some of its key use cases include:
Data Cleaning and Preprocessing:
It provides tools for handling missing values, removing duplicates, filtering data, and transforming data types.
Data Exploration and Analysis:
Pandas allows for summarizing data, computing descriptive statistics, and visualizing distributions.
Data Transformation:
It enables merging, joining, reshaping, and pivoting datasets.
Feature Engineering:
Pandas facilitates the creation of new features from existing data for machine learning models.
Time Series Analysis:
It offers functionalities for working with time-indexed data, including resampling and shifting.
Integration with other libraries:
Pandas works well with libraries like NumPy, Matplotlib, SciPy, and Scikit-learn, expanding its capabilities.
Data Loading and Saving:
It supports reading and writing data from various file formats like CSV, Excel, SQL databases, and more.
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