alptuzel Goto Github PK
Name: Alptekin
Type: User
Company: Delivery Hero
Bio: Data Scientist: Developing and deploying machine learning models.
Location: Berlin
Name: Alptekin
Type: User
Company: Delivery Hero
Bio: Data Scientist: Developing and deploying machine learning models.
Location: Berlin
A Python implementation of the Analytic Hierarchy Process
my github io
SageMaker Course Material
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A curated list of references for MLOps
Read-only mirror of "candlesticks" from r-forge SVN.
Working repository for Causal Tree and extensions
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Final Project for the Coursera Practical Machine Learning Course
Course 1 Assignment W4
The Leek group guide to data sharing
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
Plotting Assignment 1 for Exploratory Data Analysis
React/ApolloGraphQL/Node/Mongo demo written in Typescript
dashboard to visualise geographic data
R Package for accessing and plotting Google Maps
Analysis in R language
For a given geospatial location, calculate an isochrone (same time) contour around it.
My solution to Otto Group Product Classification Challenge (Top 4%, 107th of 3514).
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Python implementation of multiple-criteria decision-making algorithms
Financial Markets Data Visualization using Matplotlib
Named-entity recognition (NER) (also known as entity identification, entity chunking and entity extraction) is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc.
:globe_with_meridians: R package to query openrouteservice.org
OSMnx: Python for street networks. Retrieve, model, analyze, and visualize street networks and other spatial data from OpenStreetMap.
:crown: Python factor analysis library (PCA, CA, MCA, MFA, FAMD)
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Repository for Programming Assignment 2 for R Programming on Coursera
Projects completed with R
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.