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Name: Ulas
Type: User
Bio: Always looking into ML and DL. Passionate about statistical modelling and visual reporting. Mostly Python, occasionally R.
Location: Munich
Name: Ulas
Type: User
Bio: Always looking into ML and DL. Passionate about statistical modelling and visual reporting. Mostly Python, occasionally R.
Location: Munich
I intended to cluster the districts of Munich in this notebook, depending on their most frequent venue types. The district information was obtained through scraping Munich's city website. The pertinent geographic information was obtained through calls to the Google Maps API. The venue information is the courtesy of FourSquare API. This notebook was originally completed for an older iteraton of the final project of IBM Data Science Specialization on Coursera.
A sample project that encompasses all façades of a data science project: starting from data acquisition and ending with reporting. The EDA, both visual and query-based, followed by model building, and finally communicating the findings to the stakeholders through data viz and dashboards. IBM Data Science Capstone Project, Course #10
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
A collection of various deep learning architectures, models, and tips
A quick tutorial on how to use Jupyter Lab (the evolution of Jupyter Notebooks).
Extreme Learning Machine(ELM): Python code
WebDriver for Firefox
Atmospheric correction of a (single) Sentinel 2 image
Harmonization of Landsat and Sentinel 2 in Google Earth Engine, documentation and scripts
Public repo for DeepLearning.AI MLEP Specialization
Set of real world data science tasks completed using the Python Pandas library
During my student assistantship, I was consultend on many different issues relating to analytics and descriptive statistics concerning the total teaching hours of the staff, the statistics of the exam results, etc. I was commissioned this one when we needed to change plans for the booking system we use. This is an ad-hoc regression analysis done to predict the amount of bookings we will receive in 2022 and develop a plan to answer for the increasing demand.
The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.
This repo is for demonstration purposes only.
Notes and exercise attempts for "An Introduction to Statistical Learning"
Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"
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.