In this project, I will perform exploratory data analyses, data visualization and statistical analysis utilizing machine learning algorithms on a kaggle dataset containing Marketing Data.
More precisely:
- Customers' expenditures on different product categories will be predicted by applying linear regression analyses.
- Acceptance of the most recent marketing campaign will be regressed on customer data using logistic regression.
- Importance of individual features in the model predicting response is assessed by implementing a Random Forest Classifier.
- Finally, customer segmentation will be performed by using the k-means approach.