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Name: Daniel
Type: User
Company: GraiLabs
Blog: https://sites.google.com/view/10academy-org-daniel-zelalem/home?pli=1
Name: Daniel
Type: User
Company: GraiLabs
Blog: https://sites.google.com/view/10academy-org-daniel-zelalem/home?pli=1
Design a reliable hypothesis testing to test if the ads that the advertising company runs resulted in a significant lift in brand awareness. Used hypothesis A/B testing to test if a creative ad campaign resulted in a significant lift in brand awareness. Applied machine learning approach for A/B testing and compared its result with the hypothesis A/B testing result.
PythonLidar is an open-source python package for retrieving, transforming, and visualizing point cloud data obtained through an aerial LiDAR survey
Example task UIs for Amazon SageMaker Ground Truth
set of language models for Amharic Language
Machine learning algorithms tend to focus on making the most accurate predictions or classifications rather than providing insights on the cause-and-effect relationships of features. But unlocking the cause and effect relationship can be important in decision making, especially in the sectors of health. It would also help to build more accurate models that exploits not only the data but also the cause and effect structure of the data. Casual inference is to infer what causes what. Casual inference enables us to answer questions like what causes what or what would be the effect if we improve some features ? This type questions can not be answered by machine learning algorithms only. we may calculate correlation or feature importance from machine leaning models, but machine learning algorithms captures association or correlation and not causation.
The finance team of Rossmann wants to forecast sales in all their stores across several cities six weeks ahead of time. Managers in individual stores rely on their years of experience as well as their personal judgement to forecast sales. The task was to build and serve an end-to-end product that delivers this prediction to analysts in the finance team.
PyTorch Tutorials from my YouTube channel
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.