Open Machine Learning Course

📊 Generate a personal YouTube report from your Google Takeout data

add statistical significance annotations on seaborn plots. Further development of statannot, with bugfixes, new features, and a different API.

matplotlib extension for vaporwave aesthetics

Data ETL & Analysis on the dataset 'Baby Names from Social Security Card Applications - National Data'.

A comprehensive Data and Text Mining workflow for submissions and comments from any given public subreddit.

Text Mining on the 2019 Mexican Government Report, covering from extracting text from a PDF file to plotting the results.

Patchwork for matplotlib: A subplot manager for intuitive layouts in matplotlib, seaborn, and plotnine.

ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.

edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab

A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

Starborn: Seaborn-compatible data visualization for Python based on Altair

Python utility for visualizing growth data from a newborn's first year, such as feeding, diapering, sleep, and growth, recorded in the Glow Baby app.

Reddit bots, web scraper and utility scripts used to perform EDA on thousands of job listings from the official Mexican job board.

Python Monthly Returns Heatmap (DEPRECATED! Use QuantStats instead)

Plot categorical heatmaps with seaborn

Generalized Regression Neural Networks estimates using the weighted averages of the outputs of the training data set. (With Gaussian kernel and Euclidean distance)

Astetik takes away the pain from telling visual stories with data on Python

Data ETL & Analysis on the global and Mexican datasets of the COVID-19 pandemic.