Thank you. I didn't know there was an interest in videos for beginners. I have a masterclass "Data Analysis with Python", it is for complete beginners - karinadatascientist.com/ .
you need to save the dataframe, after all those columns were added. All you need to do is: rfm.to_csv('/Users/INDICATE_WHERE_TO_SAVE_FILE/rfm_model.csv', index=False) name_of_what_you_are_saving.to_csv('Path_to_your_file/filename.csv', index = False) You can also save it to excel with rfm.to_excel('filename.xlsx', index=False)
Thank you. If you mean Jupyter Notebook as a software, you can download it here jupyter.org/. If you mean RFM model - you can create it yourself by following the tutorial in this video
Developed an RFM (Recency, Frequency, Monetary) model in Python to analyze customer behavior and segment the customer base for targeted marketing strategies. Utilized the pandas library for data manipulation, and plotly for data visualization. The model successfully identified key customer segments and provided actionable insights to improve customer retention and increase revenue.
Don't know, a habit? In my videos I want to show people how libraries work, and how to apply this knowledge to other projects. Don't get me wrong, I like that pyforest removes the need of installing libraries one by one. I sometimes use it for my personal quick analysis, but not for tutorials. I think it is great for personal use, not when you work with a team or building a portfolio
