AIR QUALITY IN NAIROBI

Heathcliff Nyambiya

Econometrician | Data Scienctist | Financial Engineering Candidate

Project links

About this project

For each assessment, students must score 90%. Used a dataset from one of Africa's largest open data platforms, openAfrica. Learners build an ARMA time-series model to predict particulate matter levels in Kenya. They extract data from a MongoDB database using pymongo, and improve model performance through hyperparameter tuning. -Queried and obtained data from a MongoDB(NoSQL) database -Explored and cleaned time series data. -Built autoregression models. -Tuned hyperparameters.

Skills

More projects by Heathcliff Nyambiya

EARTHQUAKE DAMAGE IN NEPAL

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

HOUSING IN MEXICO

For each assessment, students must score 90% Learners use a dataset of 21,000 properties to...

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...