Will we use content based or collaborative filtering recommendation system?

I really enjoyed watching your videos.

In the resume Analysis part when i parse the name , its giving the position applied for. example: if the name needs to be: Omkar its giving :Anroid Developer. how do i solve this?

Hello! What is happening to your website? Is there anyone i can reach out to ?

kzbin.info/www/bejne/e2iwc4F_dsyBnaMsi=vCtp-j-YefKYQ9Vy

These tutorials are so good, why does KZbin not include this in the first three recommended videos on Recommendation Systems? Well done champ. Thank you.

Can you please upload the code for content based filtering?

this is best and updated end to end project on youtube. I request to pleease come up with more advanced projects like this on other areas as well . Thankyou

Great video ❤❤❤❤❤

Can you please tell me order to watch videos in playlist as i guess they are jumbled not one after another . Please

CONTENT-BASED RECOMMENDER SYSTEM. google colab link please.

keremet

which algo is used in this project?? collaborative or content based??

code in comments section

bro you should share codes or your github..

From which csv file you get data for 2017 year only ?

How did you deploy the app on streamlit cloud

Thank you so much for this playlist

You didn't post the movies recommendation code

Hey thank you for the course. Just a quick suggestion. I'm taking notes with the screenshots and a lot of times the ad for your tutorials pops up and we wont be able to take the screenshots. Hope this helps with the upcoming videos. thanks again

Really amazing, is the source code available?

which program are you using ?

Since the append method is no longer available in pandas, you should use pd.concat (for 3rd cell )

import pandas as pd import json def parse_json_column(column): return column.apply(lambda x: json.loads(x) if isinstance(x, str) and x.startswith('{') and x.endswith('}') else x) # Load the cleaned CSV credits = pd.read_csv('credits_clean.csv', sep=',', engine='python', encoding='utf-8') # List of columns that contain JSON data json_columns = ['cast', 'crew'] # Replace with actual column names # Parse JSON columns separately for col in json_columns: credits[col] = parse_json_column(credits[col]) # Display the DataFrame print(credits.head()) (2/2)

if any one facing issue in 2nd cell please add following code in 2 cells to avoid error import csv import json def preprocess_csv(input_file, output_file): with open(input_file, 'r', encoding='utf-8') as infile, open(output_file, 'w', newline='', encoding='utf-8') as outfile: reader = csv.reader(infile) writer = csv.writer(outfile) for row in reader: new_row = [] for field in row: if field.startswith('{') and field.endswith('}'): try: json.loads(field) # Validate JSON except json.JSONDecodeError: field = field.replace(' ', '') # Fix common issues try: json.loads(field) # Re-validate JSON except json.JSONDecodeError: field = 'null' # Fallback for irreparable fields new_row.append(field) writer.writerow(new_row) # Preprocess the CSV preprocess_csv('credits.csv', 'credits_clean.csv') #(1/2)

Can you provide the code

Thanks Dude. Appreciate your help

Great project thanks !

Are you using a seperate dataset for this one

Thank you sir!!! I really appreciate your selfless efforts. This really goes a long way for someone like me who 🥹😊❤️

super project

This is very easy to understand. Thanks for making this video!

note: I can't install spacy version below 3.0.0.........Its giving a huge error. This error originates from a subprocess, and is likely not a problem with pip. [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. error: subprocess-exited-with-error × pip subprocess to install build dependencies did not run successfully. │ exit code: 1 ╰─> See above for output.

I can't install spacy version lower than 3.0.0 i.e. neither 2.3.5 nor 2.3.9....plz help.

why we are using wikipedia for 2018 if we can acess data through api from tmdb

Thank you for your conscious effort 🥹❤️

Do something unique, and stop stealing other peoples job @ kzbin.info/www/bejne/nKbbkKepaJifY80&pp=ygUtaG93IHRvIGluc3RhbGwgZmFjZWJvb2sgbWVzc2VuZ2VyIGZvciBweXRob24g

Hey, nice tutorial! I was working on this and have been struggling to load the credits CSV file even after trying for too long. It seems like the pandas read_csv method is actually not able to infer the number of fields as 2 out of 3 columns contain JSON objects. I have tried methods like changing the reading engine from C to Python, and using a parameter combination of sep parameter ,encoding and header parameters, but none of those methods seem to work. The only option that works is skipping the problematic lines(on_bad_lines method in pandas), which I do not intend to do. I would appreciate your thoughts on this and how I can maneuver this situation.

which python version are you currently using in this project

can you please tell me,where the documentation in drive file

Where is the documentation in description

THANKS FOR VIDEOS. I HAVE QUESTION HOW TO GET MY API KEYS

Thank you so much sir. I learned a lot. Very useful information

lol.

i'm getting error in pie chart

How to run things code

pyresparser, spacy and en_core_web_sm are giving errors, could you please resolve this

I want to ask you, did you not put up any video showing how to create this project? I'm awaiting your response.

Really helpfull man! Thanks!

Excellent!!!