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Name: Jan Bours
Type: User
Bio: I care about Data Science in general. But I try to focus on some subfields of it (or I will explode ......... ).
Location: Netherlands
Name: Jan Bours
Type: User
Bio: I care about Data Science in general. But I try to focus on some subfields of it (or I will explode ......... ).
Location: Netherlands
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
A platform for Applied Reinforcement Learning (Applied RL)
Prediction of hospital length-of-stay (LOS) at time of admission using gradient boosting
Project is to determine whether not only a given hotel review on a website is positive or negative, but if the review was genuine or if it was done by spam or a troll/bot. Purpose is to prevent hotels from artificially inflating their own value or to prevent hotels from being spammed by trolls. Algorithm to implement it was a CNN-LSTM network using feature sets from Doc2Vec, POS tags, dependency tags, and TF-IDF. Trained accuracy on validation set was 93.44%.
This is the code for "How to Build a Biomedical Startup" by Siraj Raval on Youtube
This is the code for "How to Generate Art - Intro to Deep Learning #8' by Siraj Raval on YouTube
This is the code for "How to Learn from Little Data - Intro to Deep Learning #17' by Siraj Raval on YouTube
A practical guide to topic mining and interactive visualizations
How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube
Solution of the Titanic Kaggle competition
This is the code for "How to Build a Healthcare Startup" by Siraj Raval on Youtube
This is the code for "How to Convert Text to Images - Intro to Deep Learning #16' by Siraj Raval on YouTube
This is the code for the "How to Deploy a Keras Model to Production" by Siraj Raval on Youtube
This is the code for 'How to Do Sentiment Analysis' #3 - Intro to Deep Learning by Siraj Raval on Youtube
This is the code for "How to Make a Text Summarizer - Intro to Deep Learning #10" by Siraj Raval on Youtube
This is the code for "How to Simulate a Self-Driving Car" by Siraj Raval on Youtube
This is the code for the "How to Use Tensorflow for Classification" live session by Siraj Raval on Youtube
Here I explain the math behind UMAP and show how to program it from scratch in Python
A library for transfer learning by reusing parts of TensorFlow models.
[ICML-18] Codes for the custom games we built to compare RL agents with humans
Hurst exponent evaluation and R/S-analysis in Python
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
A framework for prototyping and benchmarking imputation methods
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code
Predict churn
Content analysis application built on IBM Watson's Personality Insights service.
Generative Adversarial Text-to-Image Synthesis
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.