andreasalam Goto Github PK
Name: AndreasAlam
Type: User
Name: AndreasAlam
Type: User
Some notes and codes on research of Federated Forest
FedML: A Research Library and Benchmark for Federated Machine Learning
Frank Kane's Taming Big Data with Apache Spark and Python, published by Packt
Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook
Credit card fraud detection. Highly imbalaced dataset.
A collection of research and survey papers of fraud detection mainly in advertising.
Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.
The Go programming language
This is my personal collection of free Hadoop books, please feel free to share and learn.
All the Hadoop Mapreduce examples in python!
Exercises and examples developed for the Hadoop with Python tutorial
Used Spark core python, Spark sql, Spark MLlib, Spark Streaming
This is an highly imbalanced data with only 1.72% minority and 98.28% majority class, i will be explaining Up and down sampling and effect of sampling before and while doing cross validation. Model has been evaluated using precision recall curve.
Companion to Learning Hadoop and Learning Spark courses on Linked In Learning
Predictive Lead Scoring does all the hard work for you by leveraging Machine Learning to provide your sales and marketing team with in-depth customer knowledge and ways to target the hottest and most qualified leads – resulting in saved time and higher revenue streams.
Implementation of MapReduce on Python
Federated learning used to detect credit card fraud
Code for Mondrian Forests (for classification and regression)
Implementation of the famous MA trading strategy in Python
A Generic Multi-classifier Paradigm forIncremental Learning
Online learning at cost - Classifying dynamic unbalanced data
Chess game created on the 24 hour livestream
A few basic online learning algorithms
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.