andreasalam Goto Github PK
Name: AndreasAlam
Type: User
Name: AndreasAlam
Type: User
Conducted hypothesis testing in python to find out whether the new website landing page has higher usersβ convert rate than old page using Pandas and Matplotlib
:books: :eyeglasses: A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.
A collection of research papers categorized into broad topics in federated learning.
Federated Learning related materials, including papers, articles, frameworks, and courses etc.
A curated list of data mining papers about fraud detection.
:bookmark_tabs: A curated list of online machine learning courses, software, and papers
A topic-centric list of HQ open datasets.
Cloudera CCA175 Spark and Hadoop Developer exam preparation
Solutions to the practice tests provided at http://nn02.itversity.com/cca175/ by ITVersity.
Repository to capture all Practice code and examples for "CCA Spark and Hadoop Developer Certification - Cloudera" (CCA175) Exam.
A set of exercises to prepare for Certified Kubernetes Application Developer exam by Cloud Native Computing Foundation
Cloudera_Material: Study Material to help people preparing for Cloudera CCA Spark and Hadoop Developer Exam (CCA175). Feel free to collaborate.
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
This software demonstrates one way to create and manage a cluster of Hadoop nodes running on Google Compute Engine.
A collection of work related to COVID-19
This tutorial's purpose is to introduce people to the [2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE](https://github.com/CSSEGISandData/COVID-19) and how to explore it using some foundational packages in the Scientific Python Data Science stack.
Data about Covid-19 cases in Malta (EU)
Descriptive analysis of trends in deaths
Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019
It is Based on Anamoly Detection and by Using Deep Learning Model SOM which is an Unsupervised Learning Method to find patterns followed by the fraudsters.
Credit Card Fraud Detection Using Machine Learning. By creating a pipeline.
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
Decentralized machine learning
Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised approach
This project uses federated ML to calculate the credit default risk of customers from two different databases.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.