Fatal Collision Exploraions explains the data and certain Key Indicators in the accidents
Performed comprehensive Exploratory Data Analysis (EDA) on a dataset consisting of 52 attributes related to fatal collisions.
Utilized EDA techniques to identify patterns and relationships within the data.
Investigated fatal collisions in Toronto spanning from 2006 to 2021, leveraging elbow point analysis and categorical value examination.
Isolated relevant attributes for prediction modeling.
Employed Decision Trees and K-Nearest Neighbors (KNN) algorithms for prediction modeling.
Conducted outlier detection to ensure the robustness and accuracy of the predictive models.