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I try to read the csv using pandas and it showed this

{"payload":{"allShortcutsEnabled":false	fileTree:{"Building a Movie Recommendation Engine":{"items":[{"name":".ipynb_checkpoints"	path:"Building a Movie Recommendation Engine/.ipynb_checkpoints"	contentType:"directory"}	{"name":"Assignment Solution.ipynb"	path:"Building a Movie Recommendation Engine/Assignment Solution.ipynb"	contentType:"file"}	{"name":"Building_A_Movie_Recommendation_Engine.pdf"	path:"Building a Movie Recommendation Engine/Building_A_Movie_Recommendation_Engine.pdf"	contentType:"file"}.1	...	symbols:{"timedOut":true	notAnalyzed:true	symbols:[]	error:{"code":"invalid_argument"	msg:"content required"	meta:{}}}}	copilotAccessInfo:null	csrf_tokens:{"/codeheroku/Introduction-to-Machine-Learning/branches":{"post":"pRmB5waW2MTOK_GcM3-tpX-aWUi3kWccIF6X_GunoRjA9cuzdm9tZxzjFTo_3xH59Cc5m2c1exqiTK1ClqQGNA"}}}	title:"Introduction-to-Machine-Learning/Building a Movie Recommendation Engine/movie_dataset.csv at master · codeheroku/Introduction-to-Machine-Learning"	locale:"en"}

instead of table.

I was checking out the movie recommendation code and found out that if the movie_user_likes should match the exact title of the movie or else it gives the following error.. Ok the movie title being strict is alright but it is also case sensitive... for example if i give "the avengers" it will still give the following error.
Traceback (most recent call last):
File "d:/Documents/8sem/Project Phase II/contentbased.py", line 47, in
movie_index = get_index_from_title(movie_user_likes)
File "d:/Documents/8sem/Project Phase II/contentbased.py", line 10, in get_index_from_title
return df[df.title == title]["index"].values[0]
IndexError: index 0 is out of bounds for axis 0 with size 0

so i tried turning the user data into camel case but then again it will show the same error cause the preposition in the title are small case.. I'm pretty much stuck here... I would be thankful to someone who can show me a way around it.. I'm open for new ideas... PLEASE HELP

similar_movies = list(enumerate(cosine_sim[movie_index]))
im getting error : IndexError Traceback (most recent call last)
in
----> 1 similarmovies = list(enumerate(cosinesim[movieslikedindex]))

IndexError: only integers, slices (:), ellipsis (...), numpy.newaxis (None) and integer or boolean arrays are valid indices

Hello,
I am working on this project, and in this data there is only 0 to 5 digits data which is insufficient for our project data, so I need the whole data of this project. It's humble request to you providing whole data to me
Hope you will response me soon
Thank you