Loading repository data…
SAATHVIK7878 / repository
A Python-based project that demonstrates how real-world data can be collected from the web and analyzed to uncover meaningful insights. The project involves scraping laptop data from an e-commerce website, cleaning and organizing the data, and performing exploratory data analysis using Jupyter Notebook and Python libraries.
A transparent discovery signal based on current public GitHub metadata.
This score does not audit code, security, maintainers, documentation quality, or suitability. Verify the repository and its current documentation before adoption.
README preview is not available for this repository.
Selected from shared topics, language and repository description—not editorial ratings.
Scetrov /
EVE Frontier Datasets is a specialized Python-based data analysis and visualization framework designed for exploring EVE Frontier datasets. Built for Python 3.12+, the project provides a robust environment for interactive research using Jupyter Lab and Jupyter Notebooks.
78/100 healthharrystaley /
A collection of Jupyter notebooks showcasing my progress and completion of data science coursework on DataCamp, featuring exploratory data analysis and Python-based projects. Note: These materials are intended for personal demonstration and not for academic dishonesty.
48/100 healthGurleenalag /
A repository containing Python-based data analysis projects, code practice files, and Jupyter notebooks showcasing exploratory data analysis, data wrangling, and visualization techniques.
37/100 healthyashreddy1154 /
This repository contains a Python-based sentiment analysis project using Jupyter Notebook to analyze customer reviews. The project leverages TextBlob for sentiment classification, pandas for data manipulation, and Matplotlib/Seaborn for visualizing insights. Key features include: Sentiment Classification,Statistical Analysis
47/100 healthmanojkanaka24 /
This repository serves as a learning and practice ground for Python-based machine learning (ML) projects. It includes a collection of Jupyter notebooks, scripts, and resources covering fundamental to advanced concepts in ML, with hands-on examples and exercises. Whether you're a beginner exploring the basics or an experienced practitioner looking f
61/100 healthThis project developed a machine learning model to predict air quality based on meteorological factors and pollutant levels. By analyzing historical data. The model was built using Python and utilized the Anaconda environment and Jupyter Notebook.
28/100 health