gjogonzalezc Goto Github PK
Type: User
Company: Curtin University
Location: Perth
Type: User
Company: Curtin University
Location: Perth
100 Days of ML Coding
Answers to 120 commonly asked data science interview questions.
Machine Learning Lectures at the European Space Agency (ESA) in 2018
Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.
A curated list of awesome Python frameworks, libraries, software and resources
How to do Bayesian statistical modelling using numpy and PyMC3
Bayesian Data Analysis demos for Python
This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! Training with TensorFlow has never been so easy.
IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
Cheat Sheets
Personal repository of data science demonstrations and references
DataCamp data-science courses
Tutorials for DataCamp (www.datacamp.com)
DataCamp's Deep Learning in Python 🐍 & Keras
Open Source Data Science Resources.
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
Deep Learning Specialization by Andrew Ng on Coursera.
Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras
List of Data Science Cheatsheets to rule the world
R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"
Notebook implementing techniques discussed in my blog post about imbalanced data.
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
A curated list of applied machine learning and data science notebooks and libraries accross different industries.
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.
Survival analysis in Python
My jupyter notebooks/code from Chris Albon's Machine Learning with Python Cookbook
MachineLearningSamples-PredictiveMaitenance
Store the Python code for my tutoials on Medium
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.