CyrilleSmid

computer-graphics-lab

data-publisher-site

Site is designed to serve as a platform for publishing scientific papers, processed by the ChatGPT model, which is used to extract the abstract and explain the paper in different ways.

data-science-courses

This repository is a compilation of code snippets used in machine learning courses and books, covering topics such as numpy, pandas, scikit, keras and pytorch python libraries.

data-science-with-r

Data science with R programming language for statistical computing and graphics

hack

hacks_ai_research_usatu

load-prediction-research-notebook

Comparison of methods for predicting electricity consumption of a large non-residential building.

ml-analysis

My entry into Kaggle titanic competition with data preprocessing, Plotly visualizations, analysis of multiple machine learning models and their comparison with cross-validation as well as an ensemble of multiple models into one classifier

sensor-load-pipeline

Software for non-residential electricity consumption forecasting.

shape-drawing-editor

Fundamental concepts and techniques of object-oriented programming with a shape manipulation editor. Best practices for designing and implementing robust, efficient, and maintainable code

CyrilleSmid/data-publisher-site

Site is designed to serve as a platform for publishing scientific papers, processed by the ChatGPT model, which is used to extract the abstract and explain the paper in different ways.

CyrilleSmid/data-science-courses

This repository is a compilation of code snippets used in machine learning courses and books, covering topics such as numpy, pandas, scikit, keras and pytorch python libraries.

CyrilleSmid/load-prediction-research-notebook

Comparison of methods for predicting electricity consumption of a large non-residential building.

CyrilleSmid/shape-drawing-editor

Fundamental concepts and techniques of object-oriented programming with a shape manipulation editor. Best practices for designing and implementing robust, efficient, and maintainable code

CyrilleSmid/ml-analysis

My entry into Kaggle titanic competition with data preprocessing, Plotly visualizations, analysis of multiple machine learning models and their comparison with cross-validation as well as an ensemble of multiple models into one classifier

CyrilleSmid/sensor-load-pipeline

Software for non-residential electricity consumption forecasting.

CyrilleSmid/computer-graphics-lab

CyrilleSmid/data-science-with-r

Data science with R programming language for statistical computing and graphics

CyrilleSmid/hack

CyrilleSmid/hacks_ai_research_usatu

CyrilleSmid/nn-from-scratch

Densely connected neural network with forward and backpropagation written from scratch in C++

CyrilleSmid/oop-lab

Object Oriented Programming Lab work

CyrilleSmid/store-sales

In this competition, we predict sales for the thousands of product families sold at Favorita stores located in Ecuador. The training data includes dates, store and product information, whether that item was being promoted, as well as the sales numbers. Additional files include supplementary information that may be useful in building your models.

CyrilleSmid/visualized-neural-network

Visualization of a simple neural network