Data Science
Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge from structured and unstructured data. Data scientists perform data analysis and preparation, and their findings inform high-level decisions in many organizations.
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Repositorium für den Schwerpunkt "Data Science" im Studiengang AWM, Hochschule Ansbach
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May 1, 2023 - HTML
Kaggle data science competition to predict back order risk for products based on historical data
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Nov 20, 2017 - HTML
A data science course held by DQLab as part of ICT Ministry's program: Data Science for Beginner.
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Nov 15, 2022 - HTML
This Repository includes The Final PDF Report (named "Winning Space Race with Data Science"), as all the Jupyter Notebooks and Python files done in the capstone project for the IBM Data Science Professional Certificate (It also includes HTML files of the Notebooks to visualize them directly in Browser).
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Jul 4, 2023 - HTML
Python application using Streamlit for data analysis and visualization of statistics from the Christopher Newport University Men's Basketball team
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May 28, 2023 - HTML
Data science exercises made with Jupyter Notebook for our CS158P (Introduction to Data Science) course
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Jan 31, 2023 - HTML
These are the class materials and assignments for PPOL 670: Data Science for Public Policy at Georgetown University.
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May 13, 2023 - HTML
SMU Data Science & Visualization Course Project 3 - Web
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Mar 16, 2023 - HTML
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Mar 20, 2023 - HTML
Data Analysis Project: Investigating Factors Contributing to No-Show Appointments in Medical Records
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Mar 28, 2023 - HTML
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May 2, 2023 - HTML
Visualising neuron data recorded from rat brains
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Sep 5, 2023 - HTML
Repo for Lab 2 of CS418 - Intro to Data Science (Spring 2023)
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May 23, 2023 - HTML
This repository presents a comprehensive project that leverages relevant features to accurately predict the Wine Quality.
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Sep 13, 2023 - HTML
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