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Type: Organization
Type: Organization
ADB Essentials Demos used in the webinars
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Collection of cyphers for bloodhound
A repository of solutions for improving que quality of life of analysts with GA4
Big Data Demystified meetup and blog examples
Code and content references for TechnovativeThinker blog posts
BigQuery ML Actions using Google Cloud Functions for Looker
ChatGPT Generated Text Detection Corpus
Compilation of R and Python programming codes
Complete Python Course with 10 Real-World Projects, by Packt Publishing
CoQA QuesAns using BERT, PyTorch and Hugging Face Transformers
Quiz & Assignment of Coursera
The following algorithms are used to build models for the different datasets: k-Nearest Neighbour, Decision Tree, Support Vector Machine, Logistic Regression The results is reported as the accuracy of each classifier, using the following metrics when these are applicable: Jaccard index, F1-score, Log Loss. This project counts towards the final grade of the course.
Labs and Project from the course "How to Win a Data Science Competition: Learn from Top Kagglers"
Covid-19 Twitter dataset for non-commercial research use and pre-processing scripts - under active development
A suite of utilities for converting to and working with CSV, the king of tabular file formats.
Data Engineering with Google Cloud Platform, published by Packt
10 Weeks, 20 Lessons, Data Science for All!
Datasets for ML, Analysis, etc
This repository contains all the deep learning projects done as tutorial
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
Official repository of "TensorFlow Serving with Docker for Model Deployment" Coursera Project
Deployed bird classification webapp using Deep Learning, Docker, and Streamlit. Users can go onto the webapp and either upload their own images of birds or select from a set of images to feed through a Deep Learning model and display a prediction.
Machine Learning with Python (url: https://courses.edx.org/courses/course-v1:MITx+6.86x+1T2020/course/)
Contains public materials for students enrolled in MITx: 6.871x, Machine Learning for Healthcare
Expert Data Modeling with Power BI, published by Packt
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.