Hello, I have a very big problem, I can not proceed. Can you turn very fast? First of all, your system is great. You have done a good job in video training. This free access was a nice introduction. there are 2 pictures below. The results in the video on the left and the codes in the notebook that we download do not work the same, it gives different results. I thought it was caused by the file Purchase.csv. I moved the columns, but I couldn't get out of the way. Until this part of the training, I proceeded with my method by writing what it should be, instead of what was actually happening, but here it was swollen. I can't go to the next section. please send me the source file used in the video?

Hi Emre, Unfortunately, I wasn't able to open/see the attached pictures. Did you try using the 'Add Media' option on the top left corner of the answer panel? Could also please add a link to the lecture you're referring to? Usually we provide the code necessary to reproduce the result in each lecture. So, the Notebooks are available to download and you can find them with each lecture after you scroll down from the video. Best, Eli

Hi Emre, to see the 'Add Media' box you need to write an answer. If you're just commenting under an answer, you won't see it. So you need to scroll a bit further down and write 'Your Answer' and just below is 'Add Media'. Here is a snip: Best, Eli

there is not for me "add media" box on my screen. i don't know why? but there is not. because why I don't show my screen for my issue. i can't add any media.

i'm using chrome. why do I have to use another browser. We live in 2020. but I listened to you and tried it from explore and in the same way, media upload does not open. there is my screen shoot. i need somebody's help. Right one is video screen. could any body try like me for this course. you need to take this lecture and download the ipynb notebook from same page. and run. https://learn.365datascience.com/courses/customer-analytics-in-python/own-and-cross-price-elasticity-by-segment-homework lecture name is Own and Cross-Price Elasticity by Segment - Comparison

Hi Emre, As I already mentioned, I did run the Notebook from the lecture and there is no difference from the results in the video. From your pictures it appears, that segment 2 and 3 have switch places. And segments 1 and 4 have switched, as well. So, you are in fact getting the correct results, just not in the same order. Just a quick reminder for the segments: Segment 0 is Standard Segment 1 is Career Focused Segment 2 is Fewer Opportunities Segment 3 is Well Off When we compute the price elasticities, we do follow a different order, which might be why you're getting a different plot. We start with the average customer, then segment 3, then segment 0, 1 and 2. However, when we create the actual plot we follow the order: average customer Segment 0 Segment 1 Segment 2 Segment 3 Best, Eli

Hi Emre, I can understand your frustration and I'm confident we'll be able to find a solution As you might imagine you're not the only student to have taken the course. However, so far you're the first to encounter this particular problem. I haven't seen your entire notebook, but from the pictures it does look very much like there is a different ordering of your segments. There are numerous reasons as to why this might have happened. For instance, it could be because of a naming discrepancy in the first part of the course. Please do not change the csv files and use the purchase data set we've provided from this lecture: https://learn.365datascience.com/courses/customer-analytics-in-python/getting-to-know-the-purchase-dataset In addition you can use the k_means_pca, pca and scaler pickle objects, we've provided in this lecture: https://learn.365datascience.com/courses/customer-analytics-in-python/applying-the-segmentation-model And lastly you can run either of the two notebooks here: https://learn.365datascience.com/courses/customer-analytics-in-python/own-and-cross-price-elasticity-by-segment-assignment As I have downloaded those exact files and run them, I can assure you they result in the same graph as in the video. Hope this helps! Best, Eli