Water Potability Prediction Using Various Supervised Machine Learning Models
Research Project to analyse the knowledge about Alcoholics Anonymous in public
GUI for extracting and analyzing batch data from KISTLER FAAM assembly machine CSV files, with filtering options, graphing capabilities, and export functions for quality control and operational insights in automated manufacturing environments.
This project was implemented as part of my master's thesis in the program "Specialization in Information Systems" at the Hellenic Open University (HOU)/https://www.eap.gr/en/postgraduate-specialization-in-information-systems/.
A Scrapely scraper clone (machine learning HTML scrapping from examples) using BeautifulSoup
The Global Heatwave Warning Systems Analysis Project was an initiative to develop an advanced warning system for heatwaves worldwide. It involved extracting and analyzing complex meteorological data to predict heatwave occurrences, thereby aiding in timely and effective response strategies for affected regions.
Student 360 deals with analyzing the student performance based on the various external factors to determine the student dropout rate and predict the CGPA of the students.
Explore Functions, Tools and Agents with LangChain along with LangChain Expression Language
Se detallan los pasos para procesar mediante OCR y SpaCy-Stanza un censo histórico para la extracción automática de información histórica de valor.
Project files for incremental data extraction from CoinDesk Bitcoin Price Index RESTFul API using a cryptographic hashing algorithm
Series of 3 investigation works, regarding the subject of Data Wrangling (Acquire data from different sources; Understand how to clean and pre-process data; Transform data for analytics purposes; Perform feature engineering; Visualize data)
This project aims to analyze the performance of each athlete across various sports listed during the ongoing days of the Paris Olympics, held from 26 July to 11 August 2024. Additionally, it intends to observe the performance of countries each day.
Add a description, image, and links to the data-extraction-and-pre-processing topic page so that developers can more easily learn about it.
To associate your repository with the data-extraction-and-pre-processing topic, visit your repo's landing page and select "manage topics."