A website sent advertisements by emails to users who interested in their product. Your task is to
Question:
A website sent advertisements by emails to users who interested in their product. Your task is to find a good model to predict if an advertisement will be clicked with given datasets.
user_features.csv Download user_features.csv- features describing our users
product_feature.csv Download product_feature.csv- features describing products shown in the advertisements.
click_history.csv Download click_history.csv. - contains which products users had previously seen and whether that user ordered products in this website before.
** note this is not real data.
- Question 1: Data Understanding
Explore the basic information of the datasets.
- Question 2: Data Cleaning and Preprocessing
Clean and preprocess the datasets (such as missing values, outliers, dummy, merging etc.).
- Question 3: Model Generation and Evaluation
Please split the data into train and test sets with a ratio of 0.7:0.3. Build and optimize classification models you learned in this course.
- Question 4: Which model has the best performance? What have you learned from the models you built?
Strategic Management An Integrated Approach
ISBN: 978-1111825843
10th edition
Authors: Charles W. L. Hill, Gareth R. Jones