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Virgilio is developed and maintained by these awesome people. You can email us virgilio.datascience (at) gmail.com or join the Discord chat.

Python Cheat Sheet NumPy, Matplotlib

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

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The Los Angeles Times' independent tally of coronavirus cases in California.

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Dive into Machine Learning with Python Jupyter notebook and scikit-learn! First posted in 2016, maintained as of 2021. Pull requests welcome.

Code, Notebooks and Examples from Practical Business Python

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.

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

📘 The interactive computing suite for you! ✨

This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.

📓 deepleaning and cv notes.

[tutorial]A functional, Data Science focused introduction to Python

Performance analysis of predictive (alpha) stock factors

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

A library for debugging/inspecting machine learning classifiers and explaining their predictions

My dataquest project solutions

도서 "[개정판] 파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드입니다.

AsyncIO serving for data science models

Kotlin API for Lets-Plot - an open-source plotting library for statistical data.

This is Andrew NG Coursera Handwritten Notes.

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Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

The "Python Machine Learning (2nd edition)" book code repository and info resource

Repository to store sample python programs for python learning

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

A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution

Python API for Intelligent Visual Data Discovery

Simple plotting library that wraps Matplotlib and integrated with DataFrames

Algorithmic trading using machine learning.

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

The Go kernel for Jupyter notebooks and nteract.

Visual analysis and diagnostic tools to facilitate machine learning model selection.

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Introduction to pandas Treehouse course

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A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

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Verteego Data Suite

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IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018