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This is an example of LSTM used to forecast the next 12 months on the Air Passengers dataset.
Aprendizado, dicas e projetos sobre Python
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.
A list of awesome beginners-friendly projects.
A curated list of references for MLOps
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Machine Learning University: Accelerated Tabular Data Class
Repositório de dados sobre SARS-COV-2 em municípios paulistas
Cheat Sheets
Data Science Tutorials
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
Community translations of TensorFlow documentation
Contains files related to content and project of DSND Term 2
This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJd6GrQvhAtpBK
A Python package to assess and improve fairness of machine learning models.
Feature engineering package with sklearn like functionality
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Fully automated machine learning in one-liners.
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!
Python code for common Machine Learning Algorithms
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Companion webpage to the book "Mathematics For Machine Learning"
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
Recipes for using Python's pandas library
Practice your pandas skills!
An open source, low-code machine learning library in Python
PyCaret demo presented on June 1, 2020
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.