
Traffic Prediction with Machine Learning – Random Forest
In this project, we aimed to predict traffic metrics (specifically Clicks) using historical search data from Google Search Console. We experimented with two approaches: one using a Random Forest Regressor and another incorporating improvements after analyzing the results. Initial Attempt: The first version of the model followed these steps: Improved Model: Following the initial results, […]