Data Science with Daniel

Build. Share. Learn.
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We seek to build a community of Data Scientists, so that we can share our passion and learn together.
We do this by bringing everything and everyone together in one place; Data Science with Daniel.
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Build

We create open source projects that anyone can contribute to, helping people to take the leap in starting to code in a collaborative environment.

These projects are often to support the community, or to take an idea and create something that others can find value in.

Join Us On GitHub

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Share

We support anyone on their Data Science journey by providing an environment where they can ask questions, find answers and connect with others.

Join the Discord server to connect with the others or catch the streams on Twitch to be part of sharing knowledge amongst the community.

Join Us On Discord

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Learn

We help anyone to learn through \n, which is the newline character. This reflects the beginning of something new for those who are just getting started, a place where anything is possible.

You will always be writing a new line of code as you learn and develop new skills.

Join Us On YouTube

PROJECT

website

A static website built using React that serves as the landing page for all Data Science with Daniel activities and initiatives

PROJECT

beluga

Beluga is a Python library that provides easy access to all of the metrics you need in your classification tasks. We were inspired by a friendly Beluga whale to help others in their Machine Learning projects.

PROJECT

penguin

A Discord bot built using Python that helps manage the Data Science with Daniel community such as organising the tutoring service to match tutors with those looking for help

PROJECT

aotidae

A project that ingests space data from the Sentinel-2 satelite to identify the prevalence of cloud cover. This analysis seeks to input a location and a time period and output the usability of the images.

PROJECT

elephant

A project utilises Flask and React to create a skeleton to surface Machine Learning models so that end users can easily interact and perform predictions.

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