This is great work. Do you have a project for an e-commerce recommendation system with Fuzzy C-Means and Collaborative Filtering algorithms? Please reply, it is important.
I am unable to understand this formula of Weighted Rating. I know about Weighted Average and quantiles but it's usage here is out of my reach. Please Help me to Understand this
Are there any rules/known facts to more appropriately assign the custom weights, which can thereby enhance the impact? Can you please suggest some research papers to refer to for assigning weights, if we are to build a RecSys for some other use-case? P.S. Loved your content, and your style of simplifying the concepts for us to understand easily. Thanks.
Sir can you make a series video on fitness based recommendation system. and can you tell me how to collect data set of different people and recommend them food and exercise according to that data set. plz reply sir....
After taking the 70th percentile don't we have to filter it out to a new dataset consisting of the remaining 30th percentile to calculate the weighted average on ?
Hi, can make a video of how after training a model which predicts rating by a user of an item, multiple recommendations for a particular user based on their item rakings are generated?? It would be really helpful
Hi sir, thanks for the video, can you please clear my doubt? Why you are multiplying with 0.5 with the weighted avg and popularity? If you don't multiply and do the addition normally then also the ranking will be same right? Please clarify this one.
This is the simplest yet best video for a beginner who is willing to learn recommender system
nee videos kosame nenu eduruchustunnadi! You're a champ bro!
are u from hyd ?
Very informative resource to kickstart learning recommendation systems 😊
Bow down to you Krish...No other go. The best content in your channel 🙌🙏🙏
Explanations given by you is fantastic. Please make a series for time series analysis as well.
Please make a series on data pre processing. Thankyou for such good contents 🙂
Krish Naik is the best tutor I have met ever, like God, how???😍😍😍
there are Nan values in tagline , runtime, release_date, overview columns
This is great work. Do you have a project for an e-commerce recommendation system with Fuzzy C-Means and Collaborative Filtering algorithms? Please reply, it is important.
Scaling the population and score can affect the original distribution. How to check whether it is scaled right??
Thanks for the video Krish.
I am unable to understand this formula of Weighted Rating. I know about Weighted Average and quantiles but it's usage here is out of my reach. Please Help me to Understand this
Thank you for video... kindly make a series of video
Great video! Simple and easily explainable solution to address cold start problem
Are there any rules/known facts to more appropriately assign the custom weights, which can thereby enhance the impact? Can you please suggest some research papers to refer to for assigning weights, if we are to build a RecSys for some other use-case?
P.S. Loved your content, and your style of simplifying the concepts for us to understand easily. Thanks.
How could i integrate my recommendation model with the web which has built in laravel framework?
how can we know which one is better , either hybrid, content based , collaborative based, knn , how can we calculate error for them?
Hi Krish,
Could you please make a video on the reciprocal recommender system?
Sir can you make a series video on fitness based recommendation system.
and can you tell me how to collect data set of different people and recommend them food and exercise according to that data set.
plz reply sir....
hi, did you complete this project. I also need this
Thanks for the video Krish. How did you come up with the weighted average formula? Is it an industry used formula?
What is popularity? How it gets counted.
8:33 There are null values in tagline feature!
At 13:17 why I am getting errors like ,list indices must be integers or slices, not str
you are very kind and just amazing! thank you for being so devoted
Instablaster
After taking the 70th percentile don't we have to filter it out to a new dataset consisting of the remaining 30th percentile to calculate the weighted average on ?
Thanks Krish
Awesome
Hi, can make a video of how after training a model which predicts rating by a user of an item, multiple recommendations for a particular user based on their item rakings are generated?? It would be really helpful
great video.
Krish Sir. please make a video on Friend / People Recommendation system.
Did you make it yet ?
as we have already given the popularity here but how it calculated?
Your could have shown how to handle 'Error tokenizing data' Error
Hi sir, thanks for the video, can you please clear my doubt?
Why you are multiplying with 0.5 with the weighted avg and popularity? If you don't multiply and do the addition normally then also the ranking will be same right?
Please clarify this one.
yea i do think it is same without multiplying 0.5
I didn't get what is Cm? U have taken average of votes again calculated mean for that? What its significance?
Can u give me how to mesurment ?
Sir can you please tell me how to download it from github
Good Explanation
Hey Krish...How can i evaluate a recommendation system????????
sir how to implement recommendation in own website
@vishal, Is this resolved. I need recommendation system for website. Any help appreciated. Thanks!
@@ravitejavlog8033 you need to create api for this same as your backend
Sir I don't understand why it is called as Weighted Hybrid? If it's Average
Me too..
Thanks
Thank you
Thank you sir ❤️
super
thank you sir
Thank you so much
New Sub! :D
Hi sir can u build a recommendation system for ecommerce data set