Mar 31, 2025 · A collection of data analysis and visualization projects designed to uncover insights from diverse datasets. These projects include analyses on COVID-19 trends, stock trading patterns, housing market prices, IoT data, and more, showcasing the power of …

Sep 4, 2024 · Here are 5 public repositories matching this topic... This Python application provides a user-friendly interface to load and visualize the contents of a CSV file. Users can choose from various types of graphs and perform analyses on the dataset.

Sep 12, 2023 · Building Python projects will help you build confidence in the skills you’re learning, develop a portfolio that helps you stand out in the job hunt, and have fun along the way. In this article, we’ll outline 60+ Python project ideas to accelerate …

Dec 27, 2024 · In this article, I'll take you through a list of 50 Data Analysis projects with Python you should try to master Data Analysis.

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Jan 21, 2024 · This repository is a personal collection of programs, exercises, and notes from the Development of Applications for Data Analysis course at Instituto Politécnico Nacional (IPN). As part of the Bachelor's in Data Science, the course focuses on developing practical skills in Python for data analysis.

Jun 15, 2022 · These Python data science projects will help you build a strong foundation in Data Science. 1. HARVESTIFY. The economy of a country is highly dependent on agriculture. The growth of the products is directly related to the quantity and quality of crops. This project is a machine learning based website that recommends the farmers:

Dec 9, 2024 · GitHub Gist: instantly share code, notes, and snippets.

Jul 2, 2023 · These Python data analysis project ideas are perfect for beginners and experts alike. Whether you're looking to build your skills or add to your portfolio, there's a project here for you. With source code available on GitHub and data readily available on Kaggle, you can get started with these projects today.

Project 5 - House Prices: Prediction and Data analysis. This dataset is from a Kaggle competition, so it challenges us to predict the final price of each home. There are 79 explanatory variables, describing every aspect of residential homes in Ames, Iowa. Conducted EDA and data cleaning. Used multiple regression to predict the price of homes.