Crime-Detection-Smart-Cities-IOT
Used Apache's PySpark to process the textual features of the San Francisco's Crime dataset. Built a simple logistic regression model to classify the crime data into 36 distinct categories thus making it a multi-classification problem achieving 97% accuracy.