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Name: Konstantinos Bardis
Type: User
Bio: I am an Economics B.Sc. and Data Science M.Sc. grad, looking into future prospects.
Name: Konstantinos Bardis
Type: User
Bio: I am an Economics B.Sc. and Data Science M.Sc. grad, looking into future prospects.
This repo contains the code files for the Udemy course on A3C and ICM.
Repo for phill tabor's actor-cricit Udemy course. This time I will organize my code right away and not let it balolon to a giant mess like previously
This exercise utilizes the Ames Boston Housing dataset, for feature selection and modelling. As this is a more advanced dataset, it is interesting to see how methods applied to simpler datasets fare here.
This is a repo focusing on exploring the forest fires on Brazil
This is a repo mostly containing code on the Cats V Dogs dataset
Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops
This is my first full-fledged python project with VS code where I attempt to create a fully-fledged machine learnign application using best soft eng practices.
This is a repo based on Kaggle data, focused on exploring the novel Coronaviruse's spread and attempting to model its future spread.
This is a repo on Credit risk analysis (EDA+ Modelling) using a relevant small Kaggle dataset. It is called "basic" since it is a small dataset, compared to much larger (and I believe still available) versions, which depending on how this goes, I may attempt to work on too.
This is a repo housing code for Kaggle's G-Research Crypto Forecasting Challenge.
This repo includes my code (along with solution code for the few times I truly got stuck) for Phill Tabor's excellent course on Deep Q-Learning in Udemy.
fork for further work
This repository is meant to display my (completed) undergraduate Dissertation, conducted while I was an Economics student at Athens University of Economics and Business, Greece.
This repo will serve to accomodate my practice with GANs, usually involving implementing scripts found in books, for starters, and after I have built some familiarity with them, proceed to build my own mini-architectures.
GANs N' Roses: Understanding Generative Models
stuff
This is a repositoy using Kaggle's Data Science survey, primarily as a source of useful exploration regarding statistics about Data Science.
This is a repo built on the Molecular Classification of Cancer by Golub et al on Kaggle, where the purpose is to classify what kind of cancer any given patient has, given a set of genetic expressions.
This is the final deliverables for my MSc dissertation in (Cooperative) Multi-Agent Deep Reinforcement Learning.
This is my first project upload on github, which focuses on applying some basic Dimension Reduction and visualization techniques, for practice reasons mostly.
Another Dataset taken from Kaggle, the purpose of which is to predict whether a Star is a Pulsar, a rare variant. It seems very well documented and structured, rich in features and interesting in its class imbalance, making it all that more interesting to both explore and model.
A workshop on data visualization in Python with notebooks and exercises for following along.
This is a repo containing a script to analyze sarcasm via Kaggle's titular dataset
This is a repo on Solar Sunspots, mainly focused on modelling the time series instead of exploring it in depth.
This is an exercise utilizing the Titanic dataset, focusing mainly on practicing EDA (like via graphs and descriptive statistics) and Data cleaning for use in ML pipelines. It also aims to gain some expertise into answering 'query' style questions via pandas.
This is a repo focusing on the relevant dataset by NOAA, found in the Kaggle website under the same name.
This is a repo working with WHO Suicide Statistics, collected from the relevant Kaggle repository, which focuses on data analysis and exploration, followed by some modelling for predicting future trends, something potentially very important due to the sensitive nature of the dataset.
This is a repo focusing on the Wines Quality dataset, courtesy of kaggle. combining a breadth of data exploration techniques as well as modelling.
This is an EDA project, with the relevant data taken from Kaggle, exploring what factors play a role in forming country-wide happiness.
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.