kristofrabay Goto Github PK
Name: Kristof Rabay
Type: User
Name: Kristof Rabay
Type: User
Exploring CatBoost library on a regression and classification problem. Leveraging its live plot training, early stopping and model analysis attributes
Exploring the computer vision field of data science. Building, training and evaluating / explaining convolutional neural networks.
DA2 codes
Assignments for DLw/Py course
Trying vectorizers, word and sentence embedding techniques for content based recommendations
Using Keras for image classification by simple neural net, convolutional network and transfer learning
DrivenData Challenge: Flu Shot Learning - Predict H1N1 and Seasonal Flu Vaccines
In-class Kaggle comp to predict binary outcomes. Using R for h2o, xgboost and Keras, Python for LightGBM and sklearn's voting classifier
Playground for 2 LLMs to debate about topics - forked from by company gh account
Machine Learning #1 and #2 courses at CEU Master of Science in Business Analytics
mastering r skills course repo
Comparing different ML models on a simple regression problem including numeric and categorical features as well
Analyzing performances of NFL players receiving 10+yr contracts before and after the big deal. Also checking spending differences between successful teams and others.
trying to predict whether or not a team makes, wins the sb after making the playoffs
Supervised fine-tuning experiments on open-source LLMs - forked from my company gh account
Lasso, Ridge and Elastic Net regressions, PCA and Clustering methods
trying out different optimization packages for Py, unsupervised and supervised learning methods
Using SkyScanner API getting flight info, enhancing via web scraping, analyzing and running ML models on (sklearn)
Conducting NLP (tokenization, tf-idf, sentiment, topic modeling) on The Office series. Output in a Shiny app
web scraping assignments
scraping webshop price data to see how prices are increased / decreased
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.