Data analysis

A collection of Jupyter notebooks for AI and ML tasks. Explore, learn, and contribute to advance your skills in artificial intelligence and machine learning. #Hacktoberfest friendly!

The Forbes Billionaires Analysis project provides a comprehensive exploration of the world's billionaires using data from Forbes. The accompanying Jupyter Notebook (forbes-Billionaires-Analysis.ipynb) contains detailed analysis, visualizations, and insights derived from the Forbes billionaires dataset.

Data Science Feature Engineering and Selection Tutorials

Python-based supervised machine learning project.

Jupyter Notebook dedicated to the detailed analysis of the Netflix movies and tv shows using the R programming language

collection of Jupyter Notebooks in both English and Spanish, dedicated to performing data quality analysis using the R programming language

UniLaSalle-Public-Ressources : This public repository contains the notebooks and the data used for both : 2nd Year - Practical Statistical Tests 4th Year - Data Analysis with Python

Archive of Jupyter-Notebooks used on my blog

Jupyter notebook and datasets from the pandas video series

This is a repository for Zara sales dataset analysis with notebook that include Data Exploration, Data cleaning, Data analysis and Power BI dashboard.

In this notebook I have seen how to grab some raw data and create some interesting charts using Pandas and Matplotlib. I have: * used .groupby() to explore the number of posts and entries per programming language * converted strings to Datetime objects with to_datetime() for easier plotting * reshaped the DataFrame by converting categories to colu

Data Science

Data science project work with genomics/biological data

A dataset of waste vehicles with 350,000+ rows is cleaned using pandas and jupyter notebook in python.

Data Analysis and Visualization Project for Diwali Sales Data (CSV) using iPython and Jupyter Notebook.

This repo contains training and practical notebooks on tools that can be used in Data science projects.

This notebook explains preparing the data for analysis before proceeding with any in-depth analysis.

This project analyzes the quality of red wine based on various attributes using Python and Jupyter Notebook. It includes data exploration, data preparation, modeling with two regression algorithms, model evaluation, feature importance analysis, and a conclusion summarizing key insights.

In this data analysis project, I examined the sales dataset from the SuperStore. The objective was to gain insights into various aspects of the business, using both Python and SQL in a Jupyter notebook, alongside data visualization performed in Tableau.