python-pandas

Repository to store sample python programs for python learning

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.

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

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

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

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

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

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

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.

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.

Analysis of Paycheck Protection Program by the government done to the Covid crisis in 2020. This repository focuses on merging, cleaning, normalizing and exploring the data using Python, Python Pandas and PySpark.

Analyze various NFL projects designed to increase ROI for NFL Prospects

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

Interactive JavaScript Dashboard and API for the 2019 California wildfires.

Python Data Analysis using pandas

Analyze the numbers related to Covid-19 infections, deaths and vaccinations around the world until January 27th 2022.

A small project to demonstrate the ability of python pandas and openpyxl for data analysis and automation of excel sheets

Using Python and SQLAlchemy to do basic climate analysis and data exploration of our climate database. Then after initial analysis, designing a Flask API based on the queries that we just developed.

Fintech Hiring Trends in the Largest U.S. Banks Analysis

The purpose of creating a binary classifier capable of predicting applicant's success rate. The Data is preprocessed, a NNM (Neurnal Network Model) is compiled, trained and evaluated.

Fuzzy text match app that finds similar strings in CSV file and gets the matching percentage.

Purchase Analysis of purchasers broken down by gender, age, and user ID utilizing Jupyter notebooks, python, and the pandas library.

Requested by Maria. Primary focus is to analyze school district data to gather new insights and visually represent clear results on individual school performance.

This is my first project in Python Pandas. I followed two youtube tutorials.

Análise de dados do reembolso de senadores em 2018 com a biblioteca Pandas do Python

Serialize + compress Pandas DataFrames.

my experiments with Pandas

Loaded the iris dataset in Python using a Pandas data frame.Performed a PCA using Scikit Decomposition component.Plotted the Principal Components to recreate the scatterplot for each flower type

Analysis of Pymaceuticals's recent animal study screening for potential anti-cancer treatments. Provided a statistical analysis of the drug regimens and their effectiveness in reducing tumor volume.

Build and evaluate several machine-learning models to predict credit risk using free data from LendingClub.