There are 9 repositories under python-pandas topic.
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.
Material for a Jupyter-based Python tutorial
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.
Welcome to the Pandas for Data Science repository! This course is designed to take you from beginner to proficient in using Pandas, the powerful data manipulation library in Python. Whether you're just starting your data science journey or looking to sharpen your skills, this repository contains all the resources
Project examines factors affecting the change in car sales between 2019 and 2020 utilizing real world data, python, pandas, matplotlib and jupyter notebook.
Quantium Virtual Experience Program hosted by Forage
Data Structure and Beecrowd Activities, Activities designed to increase knowledge
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.
This python package lets you automatically download and parse european forest data from several different public sources.
Código feito nos encontros aos sábado em que está fazendo análise
To visualize aspects of the chess variation chess960/Fischer Random.
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.
Apply machine learning algorithms to data analysis,modeling and recommender system for hands-on practice.
(Ongoing Project) Analyzes marketing data to determine the effectiveness of a recent marketing campaign
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.
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
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.
Perform algorithmic trading using Python. Algorithmic trading means using computers to make investment decisions. Computer algorithms can make trades at a speed and frequency that is not possible by a human.
Filtre os arquivos que você não utiliza mais via PowerShell e receba um gráfico customizado com essas informações :)
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).
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.
Explorando os dados de empréstimos do sistema de bibliotecas da UFRN
Analysis report pattern based on Wireshark captures to resolve anomalies and enhance the efficiency of the network.
This contains data analysis projects that I've worked on for practice.
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.
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.
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.
Analyze various NFL projects designed to increase ROI for NFL Prospects
Data Analyst repository on GitHub of independent projects
These projects were created as part of Codecademy's Data Engineer Career Path course.