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Name: Leon Dakessian
Type: User
Location: São Paulo, Brazil
Name: Leon Dakessian
Type: User
Location: São Paulo, Brazil
Advanced Deep Learning with Keras, published by Packt
Source Code for 'Advanced Forecasting with Python' by Joos Korstanje
This is Andrew NG Coursera Handwritten Notes.
Approaching (Almost) Any Machine Learning Problem
Big Data Analytics in Health Care: This course introduced big data techniques and tools for analyzing and solving health care problems.
Capstone Project
Estimativas de R(t) por Estados do Brasil
Using Kalman Filter to Predict Corona Virus Spread
Data collection in Python. Web Scraping with Beautiful Soup, Selenium and Scrapy
A data science projects repositorie.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
Deep Replay - Generate visualizations as in my "Hyper-parameters in Action!" series!
The fastai book, published as Jupyter Notebooks
Forecasting Time-Series Data with Facebook Prophet, published by Packt
Graduate Level Course
Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Learn Python Programming 3E. Published by Packt
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
Practical Full-Stack Machine Learning
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
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.