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Name: STYLIANOS IORDANIS
Type: User
Bio: ML/Data Scientist
Location: Greece
Blog: https://www.linkedin.com/in/stylianos-iordanis-34787a19/
Name: STYLIANOS IORDANIS
Type: User
Bio: ML/Data Scientist
Location: Greece
Blog: https://www.linkedin.com/in/stylianos-iordanis-34787a19/
Notebooks, resources, and references accompanying the book Machine Learning for Algorithmic Trading
Machine learning algorithms implemented from scratch.
Converting the code from "Machine Learning in Action" from Python to F#
Machine Learning in Biotechnology using Python, published by Packt
This repo is my understanding and learnings from Machine Learning for Trading Specialization from Coursera
Interactive visualization of machine learning model evaluation metrics
List of all the lessons learned, best practices, and links from my time studying machine learning
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
Minor Projects in Machine Learning for Beginners and Intermediate
Machine Learning to predict a customer's next purchase - Fulfills many use-cases from recommendation systems to loyalty programs.
An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!
This repository contains only projects using regression analysis techniques. Examples include a comprehensive analysis of retail store expansion strategies using Lasso and Ridge regressions.
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
Reference material for the 'Artificial Intelligence' forum on Stadivm.
A booklet on machine learning systems design with exercises
Customer loyalty is the strength of the relationship a customer has with a business as manifested by customer purchasing more and at high frequency. There are various signal or events related to a customer’s engagement with a business. Some examples are transactions, customer service calls and social media comments.
machine learning and deep learning tutorials, articles and other resources
This repository includes the materials from the event series - Machine Learning Unlocked by Sigmoid and Tekwill Academy
Machine Learning with BigQuery ML, published by Packt
Source Code for 'Machine Learning with PySpark' by Pramod Singh
Python codes for common Machine Learning Algorithms
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Small scale machine learning projects to understand the core concepts
Introductory Machine Learning and Deep Learning Workshop
Python program for generative NFT art.
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.