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Name: Filipe Santos
Type: User
Bio: I'm a Statistician posing as an Actuary. I became Obsessed with M. Learning a few years ago and now I work every day to bring that knowledge into Insurance
Location: Portugal
Name: Filipe Santos
Type: User
Bio: I'm a Statistician posing as an Actuary. I became Obsessed with M. Learning a few years ago and now I work every day to bring that knowledge into Insurance
Location: Portugal
A Small research into Anomaly detection
aprofs package build up
Deep learning research using R and free datasets
Demo unbalanced package, some nice visualisations that helped me understand the package
Example of how to create, save and deploy an ml model using R, plumber and docker container
DeployML_devops
doing a full project with dvc as data and artefact versioning system
dynamic risk assessment system
Research into using ANN (Autoencoder + MLP) por fraud detection
Edit machine learning models to reflect human knowledge and values
genre_classification for moles
Different approaches to fine tune hyper parameters (from grid to bayesian optimisation)
Development of full solution for ML insurance Churn - from train to deployment using API
Insurance_Claims_Segmentation
Experimenting and learning about xgboost
This my best try to pass all the code on the book ML with Spark into R and SparklyR
Some tutorial and research into machine learning models explanation
Starter Code for the Course 2 project of the Udacity ML DevOps Nanodegree Program
nice_code examples
PracticalMachineLearning-Course-project
Research in to Modern Techniques to Optimize Price (Genetic algorithms, hill Climb, Particle Swarm)
template package repo
A test example package for week 4 of coursers course - master software development in R
A small tutorial on self organising maps in R
Modelling Average cost for claims using Light_GBM - as a Tutorial on this algorithm
Adapting TDBoost algoritm to be used with caret package
testHeroku
Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
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.