HOUSING IN MEXICO

Heathcliff Nyambiya

Econometrician | Data Scienctist | Financial Engineering Candidate

HOUSING IN MEXICO

Project links

About this project

For each assessment, students must score 90% Learners use a dataset of 21,000 properties to determine if real estate prices are influenced more by property size or location. They import and clean data from a CSV file, build data visualizations, and examine the relationship between two variables using correlation. -Loaded data into a pandas DataFrame -Cleaned, combined messy data and and organized information using Python data structures. -Examined the relationship between variables using correlation. -Created insightful visualizations like histograms, boxplots, scatter plots, and bar charts.

Skills

More projects by Heathcliff Nyambiya

AIR QUALITY IN NAIROBI

For each assessment, students must score 90%. Used a dataset from one of Africa's largest open...

EARTHQUAKE DAMAGE IN NEPAL

For each assessment, students must score 90%. Learners build logistic regression and decision...

APARTMENT SALES IN BUENOS AIRES

For each assessment, students must score 90%. Learners build a linear regression model to...

BANKRUPTCY IN POLAND

For each assessment, students must score 90%. Learners work with financial data from the...

CUSTOMER SEGMENTATION IN THE US

For each assessment, students must score 90%. Learners work with consumer finance data from the...

VOLATILITY FORECASTING IN INDIA

For each assessment, students must score 90%. Learners create a GARCH time series model to...

A/B TESTING AT WORLDQUANT UNIVERSITY

For each assessment, students must score 90%. Learners design and conduct an A/B test to improve...