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#

data-manipulation-with-pandas

Here are 26 public repositories matching this topic...

This data project on Python uncovers and visualizes untapped patterns regarding all Nobel Prize laureates up to date.

  • UpdatedMay 29, 2024
  • Jupyter Notebook

The objective is to analyze flight delays in the United States. Data from airlines, airports, and runways will be collected and processed. Machine learning models will be built using logistic regression, decision trees, and XGB classifiers. Visualizations will be created in Tableau, and Excel dashboards and SQL queries will be used for analysis.

  • UpdatedJun 21, 2023
  • Jupyter Notebook

Every year, school test results impact the college admissions fate of millions of students. This project uses standardized test performance data from NYC's public schools to: Identify schools with top math results. Analyze performance variations by borough. Discover the city's top ten performing schools.

  • UpdatedJul 17, 2024
  • Jupyter Notebook

This EDA focuses on uncovering intriguing patterns behind certain characteristics of the most popular songs on Spotify while assessing the degree to which such popularity is reflected also on YouTube.

  • UpdatedMay 29, 2024
  • Jupyter Notebook

Advanced Data Visualization and Predictive Modeling with Five Cutting-Edge ML Techniques Using Video Game Sales Data

  • UpdatedSep 2, 2024
  • Jupyter Notebook

An API-based python app for gathering and modifying information such as, most searched keyword in NAVER.

  • UpdatedApr 1, 2024
  • Python

This project analyzes 50k Bengaluru restaurants from Zomato, focusing on 17 features like location and ratings. It cleans, explores, and visualizes data to improve services. Key visualizations include delivery, booking, location, and cost. The goal is to provide insights for better customer experiences.

  • UpdatedMar 20, 2025
  • Jupyter Notebook

Pandalyzer is a code-analysis tool for analyzing scripts written in Python using the Pandas data-manipulation library. The tool is still under development and supports only a subset of Python constructs and Pandas operations. It uses Abstract Interperation framework defined in my bachelor thesis:https://github.com/Hrubian/bachelor-thesis

  • UpdatedMay 8, 2024
  • Kotlin

Date cleaning and preprocessing | Data wrangling | Date merging | Data visualization | Descriptive & inferential statistics | Report Writing | Real world data

  • UpdatedSep 24, 2025
  • Jupyter Notebook

We all are well aware about the Nobel prize. Here is an analysis of a dataset that tells about some of the insight information gathered.

  • UpdatedApr 13, 2021
  • Jupyter Notebook

Helping users practice speech, improve pronunciation, and gain confidence with AI-powered feedback.

  • UpdatedSep 25, 2023

This repository contains material related to the Pandas Learning.

  • UpdatedApr 1, 2023
  • Python

This repository will be about data manipulation in Python and SQL.

  • UpdatedDec 27, 2021
  • Jupyter Notebook

The goal of this project is to find the correlation in between NFL teams' win and loss with the population of the city.

  • UpdatedJul 9, 2024
  • HTML

This project is based on the nobel prize laureates. DataCamp datasets were used for this project.

  • UpdatedDec 28, 2022
  • Jupyter Notebook

Netflix dataset data manipulation

  • UpdatedSep 28, 2023
  • Jupyter Notebook

An automation script for analyzing and processing CSV data, designed to identify and categorize errors by aggregators, and calculate totals, including a grand total. Developed to streamline data analysis at Infozillion Teletech BD Ltd.

  • UpdatedNov 13, 2023
  • Python

This is an end-to-end Data Analysis project using python and it's libraries pandas, numpy, matplotlib, seaborn. I have performed full data analysis steps on largest retail e-commerce orders dataset of Pakistan from problem statement to presenting report. It contains half a million transaction records from March 2016 to August 2018.

  • UpdatedJan 5, 2024
  • Jupyter Notebook
Bike-Sharing-Business-Problem-Solving-using-Linear-Regression

Used supervised learning regression technique to solve the business problem.

  • UpdatedDec 8, 2022
  • Jupyter Notebook

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