Data Mining Course 2023/24 at AGH UST
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Updated
Jun 8, 2024 - Jupyter Notebook
Data Mining Course 2023/24 at AGH UST
Explore 2D and 3D Shapes! This interactive application allows you to visualize and learn about various geometric shapes. Still in progress...
Complete Data Science, NumPy, Pandas, Matplotlib, Seaborn, Statistics, Power Bi, Machine Learning.
My Scientific Research Code Repository.
Worked Example Miner (WEM): A Comprehensive Tool for Analyzing Java Repositories.
This repository contains code for an end-to-end Scikit-Learn workflow, covering various steps such as data preparation, model selection, evaluation, and improvement.
Here are the assignmnets for the course Data Science Masters 2.0
Interactive predictive analytics for Berlin's real estate market with regression and classification analyses, featuring a user-friendly GUI for selecting and visualizing different tasks, designed for Replit.
Python project to scape data from Google News search to a markdown table
Predicting which customers are at high risk of leaving your company or canceling a subscription to a service, based on their behavior with your product.
This is a repository that I have created to showcase skills, share projects and track my progress in Data Analytics / Data Science related topics.
Provides useful Tools & Statistics of games made by Winterpixel Games! This website is not affiliated with or endorsed by Winterpixel Games Inc.
matplotlib: plotting with Python
The goal is to eliminate manual work in identifying faulty wafers. Opening and handling suspected wafers disrupts the entire process. False negatives result in wasted time, manpower, and costs.
A large collection of matplotlib color maps
Github Action Workflow executing a python script daily
Heart failure is a severe condition in which the heart is unable to pump blood effectively. Early prediction of heart failure can significantly improve patient outcomes. This project aims to build a predictive model using machine learning techniques to identify patients at risk of heart failure.
Format and clean csv file.
Add a description, image, and links to the matplotlib topic page so that developers can more easily learn about it.
To associate your repository with the matplotlib topic, visit your repo's landing page and select "manage topics."