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Name: Alan Gewerc
Type: User
Company: Fortescue Metals Group
Bio: ✔️ Data Scientist at Fortescue Metals Group ✔️ Master of Data Science (Monash University)
Location: Perth, WA
Blog: www.alangewerc.com
Name: Alan Gewerc
Type: User
Company: Fortescue Metals Group
Bio: ✔️ Data Scientist at Fortescue Metals Group ✔️ Master of Data Science (Monash University)
Location: Perth, WA
Blog: www.alangewerc.com
Mapping a variable-length sentence to a fixed-length vector using BERT model
Built and trained a Neural Network from scratch to predict the number of bike-share users on a given day
Bootstrap to quantify uncertainty in the context of regression with linear, polynomial and KNN models.
Regression models to predict the burned area in fires.
Create an API that will return a list of “Next to jump” races
Design and train a convolutional neural network to analyze images of dogs and correctly identify their breeds. Use transfer learning and well-known architectures to improve this model.
Projects focused on big data processing, including the latest big data technologies (Spark), and NoSQL database (MongoDB).
Python3 projects utilising tools and techniques for data wrangling such as web scraping, data cleansing, data integration and text pre-processing tasks that prepare it for analytics.
Clustering News from the BBC dataset. Applied the Expectation-Maximization Algorithm. Intense math.
An extensive exploratory data analysis about Immigration in Australia, crimes in South Australia and cryptocurrency prices.
Implementation of Robb Hyndmans Book
A pair of multi-layer neural networks were generated and put to compete in order to generate new, realistic faces.
Built a model, deployed it, and created a gateway for accessing it from a website. Made use of PyTorch for a sentiment analysis model.
Exploration of major kinds of statistical learning models and algorithms used in data analysis. Clustering, Neural Networks, Probabilistic ML are a few of the topics.
A project for financial risk classification of more than 500 companies. We forecast the ratings given by agencies such as Moody's and Standard and Poors.
Projects developed using Python using modular program structures, problem-solving strategies and techniques for algorithm development, exception-handling, object-oriented programming and recursion.
An ALS recommendation engine for restaurants in Toronto. Built in Pyspark. Yelps dataset.
An RNN on PyTorch to process text. You can use it to generate new episodes of your favourite TV show, based on old scripts.
A CNN developed from scratch and a CNN model built on Transfer Learning.
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.