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, with Introductory, Advanced, Libraries modules

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.

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

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.

Data Structure and Beecrowd Activities, Activities designed to increase knowledge

Accumulation Data Indonesian Inflation 2020 - 2024

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.

Código feito nos encontros aos sábado em que está fazendo análise

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

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.

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.

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.

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

Python tools for parsing and analyzing practical match reports.