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George Kamtziridis

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George Kamtziridis

Enhancing Time Series Forecasting with XGBoost: Incorporating Rolling Statistics and Moving…

Welcome to the third article on predicting energy consumption demands for the city of London. In the first article, we explored the London…

Sep 25

Enhancing Time Series Forecasting with XGBoost: Incorporating Rolling Statistics and Moving…

Sep 25

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George Kamtziridis

How I Built an AI Writing Assistant Chrome Extension in a Few Hours Using the Latest LLaMA 3.1

Over the past five years, advancements in artificial intelligence have caught the world by surprise. This surge began in 2019 and 2020 when…

Sep 2

How I Built an AI Writing Assistant Chrome Extension in a Few Hours Using the Latest LLaMA 3.1

Sep 2

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George Kamtziridis

Time Series Forecasting with XGBoost and LightGBM: Predicting Energy Consumption with Lag Features

In a previous article, we’ve gone through the process of creating a model capable of predicting the demand of energy consumption for the…

Aug 6, 2023

Time Series Forecasting with XGBoost and LightGBM: Predicting Energy Consumption with Lag Features

Aug 6, 2023

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George Kamtziridis

ETL Pipelines With Python Azure Functions

Managing data workflows isn’t something new. We’ve been doing it for years by utilizing various tools and platforms. There are lots of…

Jul 8, 2023

ETL Pipelines With Python Azure Functions

Jul 8, 2023

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George Kamtziridis

Efficient Machine Learning Pipelines with DVC and MLFlow

Developing machine learning applications is a task that encapsulates many distinct steps. It starts by framing the problem, collecting…

Mar 16, 2023

Efficient Machine Learning Pipelines with DVC and MLFlow

Mar 16, 2023

George Kamtziridis
in
fromScratch Studio

Efficient Data Labeling: Leveraging Label Studio, GitLab CI, and Python in Your Pipeline

Every AI engineering team loves building and evaluating machine learning models. It’s undoubtedly the most exciting part of the pipeline…

Oct 7

Efficient Data Labeling: Leveraging Label Studio, GitLab CI, and Python in Your Pipeline

Oct 7

George Kamtziridis
in
fromScratch Studio

Boost Svelte/SvelteKit Performance with Memoization Techniques

Svelte and SvelteKit are relatively new frameworks that have surprised the web development community with their innovative approach. They…

Aug 2

Boost Svelte/SvelteKit Performance with Memoization Techniques

Aug 2

George Kamtziridis
in
fromScratch Studio

Decoding the Value of Noise: Integrating Noise Pollution Data into Real Estate Pricing with…

Openhouse (openhouse.gr) is a real estate platform which is currently under release by fromScratch Studio. Its distinguishing feature is…

Jun 20, 2023

Decoding the Value of Noise: Integrating Noise Pollution Data into Real Estate Pricing with…

Jun 20, 2023

George Kamtziridis

Time Series Forecasting with XGBoost and LightGBM: Predicting Energy Consumption

In the simplest terms, time series forecasting is the process of predicting future values based on previous historical data. One of the…

Feb 27, 2023

Time Series Forecasting with XGBoost and LightGBM: Predicting Energy Consumption

Feb 27, 2023

George Kamtziridis
in
fromScratch Studio

Writing Testable Applications with .NET and Stripe

Nowadays, every modern web application has some kind of payment system integrated. From small businesses that need basic e-commerce…

Nov 22, 2022

Writing Testable Applications with .NET and Stripe

Nov 22, 2022

George Kamtziridis

George Kamtziridis

Lead AI / Software Engineer at fromScratch Studio. BEng, MEng (Electrical Engineering/Computer Engineering) MSc (Artificial Intelligence)

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