python-pandas

There are 125 repositories under python-pandas topic.

  • codebasics/py

    Repository to store sample python programs for python learning

    Language:Jupyter Notebook7.2k33910616.9k

  • milaan9/10_Python_Pandas_Module

    Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manipulate tabular data in rows of observations and columns of variables.

    Language:Jupyter Notebook24510228

  • empa-scientific-it/python-tutorial

    Material for a Jupyter-based Python tutorial, with Introductory, Advanced, Libraries modules

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  • tomaztk/MSSQLSERVER_Pandas

    Using Python Pandas dataframe to read and insert data to Microsoft SQL Server

    Language:Python314014

  • ztqsteve/Uber-Rider-Churn-Analysis

    Uber is interested in predicting rider retention. To help explore this question, they have provided a sample dataset of a cohort of users.

    Language:Jupyter Notebook302014

  • codingforentrepreneurs/Try-Pandas

    In this series, we're going to learn the fundamentals of the popular Python data science tool called Pandas.

    Language:Jupyter Notebook263014

  • danawoodruff/Car-Sales-Analysis

    Project examines factors affecting the change in car sales between 2019 and 2020 utilizing real world data, python, pandas, matplotlib and jupyter notebook.

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  • annamnliang/Forage-QVI

    Quantium Virtual Experience Program hosted by Forage

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  • alysonsz/Activities-Increasing-Knowledge

    Data Structure and Beecrowd Activities, Activities designed to increase knowledge

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  • Mun-Min/ML_Trading_Bot

    Combine your new algorithmic trading skills with your existing skills in financial Python programming and machine learning to create an algorithmic trading bot that learns and adapts to new data and evolving markets.

    Language:Jupyter Notebook6201

  • Mun-Min/Credit_Risk_Classification

    Credit risk poses a classification problem that’s inherently imbalanced. Using a dataset of historical lending activity from a peer-to-peer lending services company, build a model that can identify the creditworthiness of borrowers.

    Language:Jupyter Notebook5203

  • acaicomdados/analise-barragens

    Código feito nos encontros aos sábado em que está fazendo análise

    Language:Jupyter Notebook4100
  • Chess-Visulization-And-Analysis

    DennisVNilsson/Chess-Visulization-And-Analysis

    To visualize aspects of the chess variation chess960/Fischer Random.

    Language:Jupyter Notebook4100
  • euporie

    rulanugrh/euporie

    Accumulation Data Indonesian Inflation 2020 - 2024

    Language:Python4100
  • forest_puller

    xapple/forest_puller

    This python package lets you automatically download and parse european forest data from several different public sources.

    Language:Python4200

  • ztqsteve/Yelp-Data-Challenge

    Apply machine learning algorithms to data analysis,modeling and recommender system for hands-on practice.

    Language:Python3001

  • AvatarJoshi/marketing_campaign_analysis

    (Ongoing Project) Analyzes marketing data to determine the effectiveness of a recent marketing campaign

    Language:Jupyter Notebook2100

  • bhattbhavesh91/danfojs-tutorial

    This is a repository which contains a small demo of danfo.js. danfo.js is an open source, JavaScript library providing high performance, intuitive, and easy to use data structures for manipulating and processing structured data.

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  • cahna/hitfactorpy

    Python tools for parsing and analyzing practical match reports.

    Language:Python2100

  • SphericalSilver/Data-Cleaning-and-Analysis-of-Employee-Resignation-Survey-results

    Employee exit survey results from two institutes, Department of Education, Training and Employment (DETE) and the Technical and Further Education (TAFE) in Queensland, Australia, were analyzed to discover if there were notable relationships between employee dissatisfaction rates, and factors such as their Age, and how long they had been working at their respective institutes.

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  • yzsunlei/awesome-python-tutorial

    Python学习资料的搜集和整理，方便朋友们的学习...持续更新...需要的记得star一下

    2100

  • 4sharu4/ForecastFlow-ML-Weather-Pipeline

    ForecastFlow-ML-Weather-Pipeline project, using Power BI, Python and ML to train and predict weather parameters, compare prediction accuracy and forecast daily+6 days weather.

    Language:Jupyter Notebook1

  • 4sharu4/Walmart_Python-SQL_Business_Answers

    End-to-end sales analytics project, cleaning and processing walmart's sales data using Python (Pandas), MySQL to answer real world business questions. Designed to reflect data analytics in a practical retail environment.

    Language:Jupyter Notebook1

  • AbhishekDataAnalyst/ICC-Men-s-T20-World-Cup-2022

    Created a Power BI report to identify top 11 players for a T20 cricket team by scraping data from espncricinfo with a Brightdata website tool, cleaning and transforming the data with pandas, and evaluating various player performance metrics.

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  • Aditya23303/Cricket_Analytics_Project

    Comprehensive T20 World Cup 2022 analytics project — leveraging web scraping, Python data preprocessing, and Power BI dashboarding to build a data-driven Best XI based on key performance metrics.

    Language:Jupyter Notebook1

  • AntonLavrukhin/Data_analysis_and_AB_Testing_with_python

    Tasks and projects while a "Data Analysis course": Python, Pandas, Numpy, Seaborn, Google APIs, Git, Airflow, SQL, ClickHouse, PostgreSQL, Redash, A/B-tests, Bootstrap, Tableau, DAU, MAU, ARPU, LTV, Retention and other metrics.

    Language:Jupyter Notebook1100

  • eleanormadderra/Spotify_DataScience_Analysis

    Created multiple models to analyze a Spotify dataset and predict playlist genre. Dataset download from Kaggle (https://www.kaggle.com/datasets/joebeachcapital/30000-spotify-songs).

    Language:Jupyter Notebook1100

  • heischichou/Vehicle-Sales-Analysis

    This data science project aims to perform exploratory market analysis on the Automotive Market, gleaning insight into consumer preferences and demands, sales trends, and pricing fluctuations and helping automotive dealers and industry professionals better understand consumer preferences and make informed decisions on catering to their needs.

    Language:Jupyter Notebook1100

  • mariodac/7DaysOfCode_Python_pandas

    Explorando os dados de empréstimos do sistema de bibliotecas da UFRN

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  • MarlAugustin/Data-analyst-capstone

    This is a repository containing my capstone project that I had to do for my Data analytics class for my fall semester in 2024

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  • RampageousRJ/Network-Traffic-Analysis

    Analysis report pattern based on Wireshark captures to resolve anomalies and enhance the efficiency of the network.

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  • sarutlaa/Ride-Hailing-Data-Analytics

    An end to end Data Engineering Project

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  • IntroToDataWrangling

    sethbr11/IntroToDataWrangling

    A brief course intended to introduce non-programmers to python and data wrangling. Also, demonstration of network optimization, pdf creation in Python, and a simple Monte Carlo simulation.

    Language:Jupyter Notebook1100

  • Srimathy9277/Netflix-

    Conducted in-depth data analysis on a Netflix dataset using Python and the Pandas library. Explored the dataset to understand the distribution and characteristics of TV shows and movies available on Netflix until 2021.

    Language:Jupyter Notebook1100

  • ThanoosanS/Data-Analyst-Portfolio

    Data Analyst repository on GitHub of independent projects

    Language:Python1100

  • VTickner/codecademy-data-engineer

    These projects were created as part of Codecademy's Data Engineer Career Path course.

    Language:Jupyter Notebook1100