Final Year Project Me Bhi Use Kar Sakte Hoo, Muje Acca Lagega koi Mujse Sike Python, Deep Learning Then Khut us project banake College me submit kare🌻 Actually Muje Sikane ka bohot adat he sach bolo tho Accha hi lagta he.. Sath me rehena 🤗🌼🌻
my recommendation function is not working def recommender(song_name): idx = df[df['song']==song_name].index[0] distance = sorted(list(enumerate(similer[idx])), reverse=True, key=lambda x: x[1]) song = [] for s_id in distance[1:21]: song.append(df.iloc[s_id[0]].song) return song recommender("Learning To Hunt") ans: ["She Ain't Your Ordinary Girl"] only showing one
Also on what basis are these vectors created and what are the X and Y axis represent that u explained in ur explanation for tokenization Would be gr8 help if you could clear my doubts
@@knowledgedoctor3849 is there a way i can use all songs and just store the results of distance Matrix to access it immediately everytime i need to find similarities?
Sir, your video is great but kindly don't speak in cursive.
But awesome video.
Thanks a lot
bro, please don't use fake accent. Your natural accent is very good.
Ok bro, Thanks for suggestion
please give me the complete code of music recommendation system because the link you share have not complete code kindly share complete code?
Please Share df.pkl, similarity.pkl file or You can send Folder.
finally done!!😮💨😮💨
Problem Solved Just rename Df and similarity files as df.pkl and similarity.pkl and restart and run
tokenization is not working,it shows me lookuperror
I cant run using streamlit could you help me with that
Final Year Project Me Bhi Use Kar Sakte Hoo, Muje Acca Lagega koi Mujse Sike Python, Deep Learning Then Khut us project banake College me submit kare🌻
Actually Muje Sikane ka bohot adat he sach bolo tho Accha hi lagta he..
Sath me rehena 🤗🌼🌻
I am using it for final year project. Could you please share project report of this project with me?
my recommendation function is not working
def recommender(song_name):
idx = df[df['song']==song_name].index[0]
distance = sorted(list(enumerate(similer[idx])), reverse=True, key=lambda x: x[1])
song = []
for s_id in distance[1:21]:
song.append(df.iloc[s_id[0]].song)
return song
recommender("Learning To Hunt")
ans:
["She Ain't Your Ordinary Girl"]
only showing one
sir, how can i evaluate the accuracy of the model?
What to do for memory error at cosine_similarity(matrix) could you pls tell me how to correct the error
Can we add the feature of playing recommended song for user?
Bro i am gonna use this project as a Final Year Project But getting error plz help :
No such file or directory: 'df.pkl'
same probblem
@@helloeww-y5h My problem Solved bro Just rename Df file with df.pkl and similarity.pkl put .pkl to both file and project will run.
Problem Solved Just Put or rename .pkl to Df and similarity files as df.pkl and similarity.pkl
@@nilaybirari6381 How did you get those files in the first place ? I didn't get any file even after running the pickle module
Also Sir how can we test the accuracy if this model??
Did you get the accuracy?
If yes can you tell me
can we use lemmatization instead of stemming ?
Also on what basis are these vectors created and what are the X and Y axis represent that u explained in ur explanation for tokenization
Would be gr8 help if you could clear my doubts
It's You - Aliegatie
What should be the project descriotion while adding it to the resume. Please provide it.
df.pickle file and similarity.pkl file is not created why?
You must run the .ipynb file completely to generate the df.pickle file
@@subratmohapatra2080 what about similarity .pkl???
@@subratmohapatra2080 I did run the .ipynb file completely but it did not generate the df and similarity file. Could you please help me
@@subratmohapatra2080 I did this and still did not get the df.pkl and similarity.pkl file
@@subratmohapatra2080did this and it still did not create the file... Help
couldnt deploy app , streamlit is giving error for df.pkl not found .. kindly help in solving this
same
did you fixed it?
Sir I'm getting an error on : similer = cosine_similarity(matrix)
when i call the token its did not work its give some error
Yes sir pls reply
how you open these all files on vscode please explain
/r why shouldn't removed
i getting error at creating the function can you help
Did u find it…?
please provide -df.pkl file
import pickle
pickle.dump(similarity,open('similarity.pkl','wb'))
pickle.dump(df,open('df.pkl','wb'))
@@allouchizakariaI have to make a new file with this code only and name it as df.pkl
What algorithm did u use bro?
Please don’t talk like this , it’s painful to hear . Indian accents are better than whatever this is .
Aah Ok, Madhumita🌻
We are getting an error in token pz can you say
Have you downloaded nltk ?
Bro send project report
can you tell me the objective of this project
What method use in this project sir? Thank you
Content based
what should i do :
FileNotFoundError: [Errno 2] No such file or directory: 'df.pkl'
Did you solve this issue ? If yes please tell me too
🔥🔥
please provide me pkl files
hello did you got project running then please help
did you get these ?
Please run it and you will get
run what sir the project does not run without the pkl files@@knowledgedoctor3849
streamlit shown blank
Why?
@@knowledgedoctor3849 please help
I got an error which says df.pkl and similarity.pkl is not found even though I did run the .ipynb file
So we can only search from the sample of 5000 songs?
More data better the model
@@FootballPrimeMinister how can I add data , if i add directly it will be different heads like text albums descs etc.
Sir can you please provide the Df.pkl files
Train it pls it will automatically generate
I'm stuck here, could you give us pointers please? @@knowledgedoctor3849
Got it Sir
@@knowledgedoctor3849
import pickle
pickle.dump(similarity,open('similarity.pkl','wb'))
pickle.dump(df,open('df.pkl','wb'))
@@allouchizakaria where i insert this help please
And seminar ppt
No
I reached till studio but now I am not understanding what we have to do in studio, please help
Install python
MemoryError: Unable to allocate 23.6 GiB for an array with shape (3161436880,) and data type float64 How did u not get this error?
Take sample of the data, Seems Data Quite Big & It's Unable to allocated by YOUR memory or Use Google Colab Pro.
@@knowledgedoctor3849 is there a way i can use all songs and just store the results of distance Matrix to access it immediately everytime i need to find similarities?