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

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

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.

Data Structure and Beecrowd Activities, Activities designed to increase knowledge

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.

Accumulation Data Indonesian Inflation 2020 - 2024

Código feito nos encontros aos sábado em que está fazendo análise

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

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

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 …

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.

Python tools for parsing and analyzing practical match reports.