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Juan Camilo Ospino's Projects

analyzing-crime-in-los-angeles icon analyzing-crime-in-los-angeles

The code processes a dataset containing information about crimes, including dates, times, and victim demographics. It performs exploratory data analysis to uncover insights such as peak crime hours, crime occurrences over time, and crime frequency across various victim age groups.

colombian-vehicle-data-analysis icon colombian-vehicle-data-analysis

In-depth analysis of the Colombian vehicle market, focusing on sales trends and safety evaluation. The analysis is conducted using popular Python libraries such as Pandas, NumPy, and Matplotlib, which provide powerful tools for data manipulation, analysis, and visualization.

exploring-airbnb-market-trends icon exploring-airbnb-market-trends

The primary goal is to combine these datasets into a cohesive DataFrame, enabling comprehensive analysis and insights into Airbnb listings. Initially, the datasets are individually read into separate DataFrames: one from a CSV file, another from an Excel file, and the third from a tab-separated value file (TSV).

exploring-nyc-public-school-test-result-scores icon exploring-nyc-public-school-test-result-scores

The primary objective is to conduct an in-depth analysis of SAT scores across schools, identifying top-performing institutions and understanding the performance trends. The analysis involves computing total scores, identifying schools with exceptional performance, and exploring variations among different educational institutions.

gun-violence-in-the-g20 icon gun-violence-in-the-g20

This study aims to analyze and compare homicide rates (both gun-related and total) in the United States with other developed countries within the G20, using Human Development Index (HDI) as a measure of development.

interpolation icon interpolation

This GitHub repository contains a collection of Python codes showcasing various interpolation numerical methods. These methods leverage popular libraries such as NumPy, SymPy, Pandas, Matplotlib, and Seaborn to perform interpolation tasks efficiently and visualize the results effectively.

matlab-numerical-methods icon matlab-numerical-methods

Matlab codes for Numerical methods, including Interpolation, Non Linear Equations, Systems of equations

modeling-car-insurance-claim-outcomes icon modeling-car-insurance-claim-outcomes

This project revolves around building a predictive model to estimate car insurance claim outcomes based on various factors related to policyholders. The dataset contains comprehensive information about insurance policies, policyholders' demographics, vehicle details, claim history...

netflix-movies-database-analysis-exploratory-data-analysis-and-statistical-insights icon netflix-movies-database-analysis-exploratory-data-analysis-and-statistical-insights

This self-guided project focuses on analyzing the Netflix Movies database to uncover valuable insights and relationships between various variables. By applying basic statistical concepts, conducting exploratory data analysis, and leveraging data manipulation techniques, this project offers a comprehensive exploration of the Netflix Movies dataset.

non-linear-solvers icon non-linear-solvers

Here, some methods for solving nonlinear equations, offering a collection of solvers including Bisection, Newton-Raphson, Secant, Fixed Point Iteration, and Newton's Method with Multiple Roots are found. These numerical techniques provide versatile and efficient approaches to finding solutions for nonlinear equations

student-analytics-preparing-data-for-modeling icon student-analytics-preparing-data-for-modeling

The project involves working with a dataset containing information about students and their job-related attributes. This dataset encompasses various columns such as student ID, city, gender, education level, experience, company size, and more. The objective is to clean and process this data to analyze job-related trends and patterns.

system-of-equation-solvers icon system-of-equation-solvers

The repository showcases different methods for solving systems of equations, including Successive Over-Relaxation (SOR), Jacobi-Gauss Seidel, and Gaussian Elimination. These numerical methods provide efficient solutions to systems of linear equations and can be utilized in a wide range of scientific, engineering, and mathematical applications.

who-wants-to-be-a-millionaire icon who-wants-to-be-a-millionaire

This project is an interactive implementation of the popular game "Who Wants to be a Billionaire" using Python. The game is designed using object-oriented programming principles, making it easy to understand, extend, and maintain.

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