Final thesis to become a Certified Data Scientist in which various data analysis techniques and machine learning algorithms were applied to an open source data set in the field of marketing.
The task was to find out which parameters of the marketing strategy should be changed in order to increase the turnover of a drugstore chain. Secondly, machine learning algorithms were used to predict how sales would change if the marketing parameters were adjusted.
The following Python libraries were used:
- Exloratory Data Analysis and Data Engeneering: numpy, pandas
- Supervised Learning: scikit-learn
- Visualisation: matplotlib.pyplot, seaborn