Pinned Repositories
EDZI_2023_2024_GR_1_Kowalski_Krzysztof
In this web scraping exercise, participants will learn how to extract data from websites using Python libraries such as BeautifulSoup, Requests, and Scrapy. Web scraping is a technique used to gather data from web pages by parsing HTML and XML documents.
Big_Data
Labki z infrastruktury Big Data
Computational_Intelligence
This repository contains projects related to the course "Computational Intelligence in Data Analysis." In this course, I explore the application of artificial intelligence techniques using MATLAB and Python to analyze and interpret complex datasets.
Data_Analysis_in_Python
This repository showcases Data Analysis projects conducted in Python, emphasizing data processing, analysis, and visualization using Anaconda with JupyterLab. The projects cover tasks such as data exploration, cleaning, and the creation of visualizations using libraries like Pandas, Matplotlib, and Seaborn.
Data_Warehouses
This repository is used to store solutions for assignments from the "Data Warehousing" course. These assignments are implemented using Microsoft SQL Server.
Image_Processing
This repository contains projects focused on Digital Image Analysis and Processing using Matlab. The projects cover various aspects, including image filtering, enhancement, and analysis. Techniques such as morphological operations are implemented for tasks like noise reduction and feature extraction.
Machine_Learning_Practice
This repository hosts a collection of exercises designed for the Machine Learning Practice course. The course focuses on practical applications of machine learning techniques, including EDA, FE, model creation, and more. These exercises are curated to provide hands-on experience and reinforce concepts learned in the lectures.
Multimedia_Data_Analysis
This repository contains code and resources for the course Multimedia Data Analysis, where we explore techniques and methods for analyzing images and videos using MATLAB and Python. The repository is structured to support various assignments and projects aimed at applying theoretical concepts to practical problems in multimedia data analysis.
Spatial_Databases
This repository is dedicated to storing my solutions and projects for the Spatial Databases course. Throughout this course, I'll be working on various assignments and projects that involve designing, querying, and analyzing spatial data. The code and projects here will demonstrate my understanding and proficiency in working with spatial databases.
Location-Intelligence
Krzyyych's Repositories
Krzyyych/EDZI_2023_2024_GR_1_Kowalski_Krzysztof
In this web scraping exercise, participants will learn how to extract data from websites using Python libraries such as BeautifulSoup, Requests, and Scrapy. Web scraping is a technique used to gather data from web pages by parsing HTML and XML documents.
Krzyyych/Machine_Learning_Practice
This repository hosts a collection of exercises designed for the Machine Learning Practice course. The course focuses on practical applications of machine learning techniques, including EDA, FE, model creation, and more. These exercises are curated to provide hands-on experience and reinforce concepts learned in the lectures.
Krzyyych/Multimedia_Data_Analysis
This repository contains code and resources for the course Multimedia Data Analysis, where we explore techniques and methods for analyzing images and videos using MATLAB and Python. The repository is structured to support various assignments and projects aimed at applying theoretical concepts to practical problems in multimedia data analysis.
Krzyyych/Computational_Intelligence
This repository contains projects related to the course "Computational Intelligence in Data Analysis." In this course, I explore the application of artificial intelligence techniques using MATLAB and Python to analyze and interpret complex datasets.
Krzyyych/Image_Processing
This repository contains projects focused on Digital Image Analysis and Processing using Matlab. The projects cover various aspects, including image filtering, enhancement, and analysis. Techniques such as morphological operations are implemented for tasks like noise reduction and feature extraction.
Krzyyych/Data_Analysis_in_Python
This repository showcases Data Analysis projects conducted in Python, emphasizing data processing, analysis, and visualization using Anaconda with JupyterLab. The projects cover tasks such as data exploration, cleaning, and the creation of visualizations using libraries like Pandas, Matplotlib, and Seaborn.
Krzyyych/Data_Warehouses
This repository is used to store solutions for assignments from the "Data Warehousing" course. These assignments are implemented using Microsoft SQL Server.
Krzyyych/Spatial_Databases
This repository is dedicated to storing my solutions and projects for the Spatial Databases course. Throughout this course, I'll be working on various assignments and projects that involve designing, querying, and analyzing spatial data. The code and projects here will demonstrate my understanding and proficiency in working with spatial databases.
Krzyyych/Big_Data
Labki z infrastruktury Big Data