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https://github.com/kirtipratihar/python_libraries_for_ds

This repository serves as a comprehensive guide to Python programming for Data Science. It covers essential topics like data manipulation, data visualization, machine learning, and statistical analysis using popular libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-Learn.
https://github.com/kirtipratihar/python_libraries_for_ds

artificial-intelligence machine-learning numpy pandas python scikit-learn tensorflow

Last synced: about 2 months ago
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Host: GitHub
URL: https://github.com/kirtipratihar/python_libraries_for_ds
Owner: KirtiPratihar
Created: 2024-10-18T09:15:07.000Z (3 months ago)
Default Branch: main
Last Pushed: 2024-11-16T19:34:21.000Z (2 months ago)
Last Synced: 2024-11-16T20:25:03.985Z (2 months ago)
Topics: artificial-intelligence, machine-learning, numpy, pandas, python, scikit-learn, tensorflow
Language: Jupyter Notebook
Homepage:
Size: 149 KB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

README

# Python Data Science Library 🐍📊
Welcome to the Python Data Science Library repository! This library is designed to streamline and enhance data science workflows by providing powerful and intuitive tools for data manipulation, visualization, and analysis.

# Features 🚀
Data Manipulation: Simplified operations for cleaning, filtering, and transforming data.
Visualization Tools: Create beautiful plots and charts effortlessly.
Statistical Analysis: Built-in support for common statistical methods.
Machine Learning Integration: Pre-built modules for model training and evaluation.
Compatibility: Works seamlessly with libraries like pandas, NumPy, matplotlib, and scikit-learn.