panadas

A Python programming course at Omnia, Fall 2024

This is a Data Science Essentials for Artificial Intelligence repository. It provides a structured learning path covering NumPy, Pandas, Matplotlib, Seaborn, and Exploratory Data Analysis (EDA).

This project analyzes Airbnb listing data to uncover trends in pricing, reviews, and availability. Using Python, it explores correlations between variables such as price, room type, and location. Visualizations and statistical insights help hosts optimize listings for better performance in competitive markets like New York.

A collection of data analysis in Python projects focused on data preparation and EDA, covering real-world workflows from data gathering, cleaning to feature engineering, visualization and model preparation for machine learning.

Machine Learning Tutorials

Hypothesis Testing

2nd place for HackIllinois' caterpillar challenge. Green Fleet helps fleet managers save money and the environment, by reducing fuel consumption.

课程设计的数据挖掘作业

Python program to store and manage the passwords by storing them in and CSV. The program asks the user to add, view, and remove passwords. Passwords are stored in encrypted format in CSV.

This project is an end-to-end E-Commerce Sales Analytics solution developed using SQL, Python, and Power BI. The project demonstrates the complete data analytics lifecycle, starting from raw data import and SQL-based analysis to Python data cleaning, exploratory data analysis (EDA), and interactive dashboard development in Power BI.

Self-service commodity market data app for retrieving, transforming, validating, visualizing, and exporting futures time series from Yahoo Finance.

课程设计的股票分析作业

This repository explores the use of machine learning to predict heart attack risk factors. It analyzes a dataset of heart failure patients, examining various features like age, medical history, lab results, and the occurrence of death events.

End-to-end data science project using the Superstore dataset, covering exploratory data analysis (EDA), feature engineering, and machine learning to uncover patterns and predict sales performance.

Applied analytics case study demonstrating data cleaning, inferential modelling, and strategic decision insights using regression analysis.

A machine learning model to detect phishing emails and prevent email scams.

Text_Classification(Digital-Egypt-Pioneers-Initiative-Project )

FIles in this repository are related to the DATA ANALYSIS USING PYTHON