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Type: User
Bio: Data Science student
Type: User
Bio: Data Science student
Labki z infrastruktury Big Data
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.
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.
This repository is used to store solutions for assignments from the "Data Warehousing" course. These assignments are implemented using Microsoft SQL Server.
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.
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.
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.
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.
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.
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.