Customer Segmentation in the US
I analyzed customer data in the US, comparing characteristics and building a k-means clustering model. Key steps included feature selection, dimensionality reduction using PCA, and deploying a Dash web application.
For more details, visit the project repository: Customer Segmentation in the US.
Predicting Air Quality in Nairobi
I analyzed air quality data from Nairobi to predict PM 2.5 readings throughout the day. Key steps included getting data from openAfrica, preparing it for analysis, building prediction models, and optimizing them.
For details, check out the project here: Predicting Air Quality in Nairobi.
Electric Moped
I utilized Python to perform tasks related to Electric Moped analysis. Background: EMO, a manufacturer of electric motorcycles, leverages ratings from owners to enhance product quality and ratings from non-owners to identify new features.
For more details, visit the project repository: Electric Moped.
PID based LFR, which applies the PID control algorithm in driving a
line follower robot smoothly along a line.
