π Driving efficiency in logistics & ride-hailing through tech
π Automated ops with Python & Web Dev
π Built AI-powered tools to scale transportation services
π Driving efficiency in logistics & ride-hailing through tech
π Automated ops with Python & Web Dev
π Built AI-powered tools to scale transportation services
The purpose of this project is to extract the number of customer types, i.e., customer segmentation by using the KMeans algorithm (unsupervised ML) to cluster the data.
in this EDA i took off the principal insights from a netflix dataset
Jupyter Notebook
This project intends to extract the most relevant/risk factors of heart disease as well as predict the overall risk using logistic regression.
Jupyter Notebook