You can use python's "combinations" function from "itertools" library to generate various combinations possible. See the following screenshot for an example:-
So, in your case, you can create a function like below instead of manually writing all the 48 lists within Krushkal...
First of all, let me tell you that you have done everything correctly until now. So, no worries.
Now the important part is if you look at the formula of RMSE -
You'll observe that its nothing but mean or average at the end.
It neither represents percentage nor probability.
You should see the following thread -
Recordings of the project mentoring are given in the above-mentioned thread.
I hope this helps.
Ex. Teaching Assistant
In such case you can use the following codes -
in above code I'm taking transpose of df.describe() and then checking column "max". This works for any data-set.
Simply you can use -
But there's one problem with this code it also returns the the...
Hi Saumyajit and All,
Regarding your 1st query - Please share the screenshot or the code file here so that I can look into your case.
And for the 2nd query - If in case you don't want to import different libraries at once then you can install "Pyforest" library which automatically imports all...
For this query please connect with the SL team by raising a ticket or you can also dial the toll-free no. which is available on the SL's home page at the bottom. They will definitely guide you.
For this query I have already discussed in the lecture. However we have tackled this by using wordcloud and topic modelling. Please refer the lecture for this. In this question the main objective is to get the most frequent kind of complaints and it cannot be positive/negative as...
Your outcome should look like this -
#For day wise trend chart - Here you can see that I have plotted a line chart for day vs no. of complaints and you can see a spike near end of June month which says that between 25 - 30th June there was lot of complaint registered.
Please follow the below procedure -
1. Write-up: In this case just prepare a doc file in which you can mention all your thought process while solving your project. You can also mention which step worked for you and which didn't. Plus what was your final conclusion.
Please check the spelling -> its surprise not surpirse. After that try again it'll work in Kaggle. Plus to avoid such issues in future you can always use <tab> completion which will auto-fill the correct library or will give you suggestion.
#referring from your screenshot -
You can find all the demo code and every project mentoring session recording at the following link -
Apart from this I have also pinned that thread on top of Big data and analytics forum So...
Please try the following command in your cmd prompt instead of the jupyter notebook-
conda install -c conda-forge scikit-surprise
And it will work.
#Screenshot for your reference -
While using pip command there is some issue with surprise library. So try above mentioned conda...
!pip install wordcloud
is used to install the library wordcloud which helps in plotting the most frequently occurring words in the textual data so that we can roughly judge which kind of the complaints were mostly registered. If you can observer from the following screenshot...
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