Technical Samples related to Data Science and Insurance
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Updated
Dec 12, 2022 - R
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.
Technical Samples related to Data Science and Insurance
PUBH390R UMass Amherst Fall 2020
Data visualization project to analyze India's international trade dynamics. Included comprehensive dataset spanning 2010-2018 with 70,031 rows and 7 columns, detailing commodities, countries, etc. Transformed raw data into impactful visualizations to convey trends and correlations.
Data Science (Data preprocessing) along with machine learning where patients with digestive and kidney diseases are predicted using(kNN, Naïve Bayes , and Random Forest) classifiers in R Programming Language
Data Analysis and Visualizations on the Basketball Dataset using R Programming
A data science project to predict house prices in King County
This project provides hands-on experience in data handling, cleaning, exploration, and visualization using R. By delving into both real estate and ad click datasets, participants gain insights into user behavior, website usability, and advertising trends.
Uber Data Analysis in R: Explore trip patterns, demand distribution, and peak hours using a comprehensive dataset. Gain insights into Uber's operations with visualizations and geographic analysis
An employee attrition prediction (machine learning) project
Projeto acadêmico. Análise exploratória PROUNI 2018.
R Essentials Packages for Data Science and Statistics
My experiments with R the programming language
project2-cycle2-10 created by Classroom for GitHub
Exploring, analyzing, and visualizing results from datasets I've gathered
First delivery of the Decision Support Systems (DSS) project.
Prediction of survival on the Titanic by Logistics Regression and Random Forest model