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Notebook of the Crash Course of Pandas 2018
Creando un Chatbot en Python en pocos minutos
Curso de Deep Learning desde las bases de Python, Fundamentos del Machine Learning, Fundamentos Matematicos del ML y DL, Redes Neuronales construidas desde cero hasta poner tu modelo a producción con Tensorflow
Codigo curso DL
Curso de Python Cientifico
Computer Vision tutorial for DH Summer School Antwerp
Data Processing Advanced: a course on scientific computing with Numpy/Scipy
Course Materials for Practical Data Analysis with Python and SQL
Datacamp's Data Science Track: comprehensions, plots, pandas, hacker statistics
The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.
A community run, 5-day PyTorch Deep Learning Bootcamp
A collection of various deep learning architectures, models, and tips
Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.
Design-of-experiment (DOE) generator for science, engineering, and statistics
Simple but useful Python web scraping tutorial code.
Config files for my GitHub profile.
For this project, we are positioning ourselves as a scouting agency that uses analytics to, among other things, enhance the discovery of talents and help soccer clubs better understand the dynamics (features) that come into play when determining the value, overall and future potential of a player. We will be utilizing the FIFA Player dataset available on Kaggle and apply various Data Mining techniques to achieve our objectives.
Analysis and datasets about football (soccer)
⚽📊 A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), with links to a curated list of publicly available resources published by the football analytics community.
Excerpt from the Gapminder data, as an R data package and in plain text delimited form
Assignments and practices were done during the academic course
By using opencv, Tensorflow module with python3, Handwritten numeral data will be automatically extracted from video by opencv extracting contour method. The MNIST CNN train model will predicted the number by the extracted data and the predicted number will be shown on the on the video.(as a text)
Repositorio con material y recursos sobre Inteligencia Artificial, Machine Learning y Redes neuronales
Introduction to Deep Learning for Medical Researchers
A collection of IPython notebooks covering various topics.
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Jupyter notebook to generate fully formatted IEEE papers
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.