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Name: Nadav Gordon-Bar
Type: User
Bio: Data Scientist & Researcher; M.Sc. Computational Bio, BIU | M.Sc. Biochemistry, TAU
Name: Nadav Gordon-Bar
Type: User
Bio: Data Scientist & Researcher; M.Sc. Computational Bio, BIU | M.Sc. Biochemistry, TAU
A collection of my collaboration publications an my conference presentations
A curated list of awesome python decorator resources.
A Python implementation of global optimization with gaussian processes.
The "breathing k-means" algorithm with datasets and example notebooks
A library of sklearn compatible categorical variable encoders
Node.js client for the unofficial ChatGPT API. 馃敟
Kaggle's Datasets - https://www.kaggle.com/jessemostipak/hotel-booking-demand, Goal is to predict booking cancellations
住驻专 诪诇讗 讘注讘专讬转 注诇 诇诪讬讚转 诪讻讜谞讛 讜诇诪讬讚讛 注诪讜拽讛
The purpose of this work is to analyze behavioral aspects of politicians in context to deleting posts responses on social media.
Distributed Asynchronous Hyperparameter Optimization in Python
This Project goal is to produce a model which may estimate the price of a given real-estate asset
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Code used to obtain results for my medium articles
In this `california_housing` data set project I will be implementing a solution for a regression problem using various ML techniques
Some Python Coding of "Simple Scrabble" Problems
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Create HTML profiling reports from pandas DataFrame objects
Phi_K correlation analyzer library
Playground processing files of a few example projects I played with
Fast K-Medoids clustering in Python with FasterPAM
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
scikit-learn: machine learning in Python
A game theoretic approach to explain the output of any machine learning model.
Pandas integration with sklearn
An Open Source Machine Learning Framework for Everyone
Uniform Manifold Approximation and Projection
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
A declarative, efficient, and flexible JavaScript library for building user interfaces.
馃枛 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. 馃搳馃搱馃帀
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 鉂わ笍 Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.