Відео

00:02 Building a Spotify recommendation engine from scratch in Python. 01:50 Using a content-based recommendation system to generate recommendations based on summarizing a playlist in Spotify. 05:39 Creating one hot encoded features of the year and a bucketed version of popularity 07:36 Using tf-idf to create features based on song genres. 11:58 The video demonstrates how to build a Spotify recommendation engine using Python. 13:49 The Spotify API provides a Python library with amazing features to easily access and extract live data from Spotify. 17:49 Using recency bias to prioritize songs added more recently in the playlist. 19:38 Generating recommendations based on cosine similarity using a playlist vector and feature set vector. 23:40 Similar recommendations between Spotify and the built recommendation engine 25:14 Closing remarks and feedback request

This was very helpful... Thank you for making this video

We can also personalise the dataset right? or will it be difficult?

I wannc write a dissertation about this music recommendations topic. What do you think are the current gaps in this field ?

INVALID_CLIENT: Invalid client

Guys the dataset has been removed so don't go with it.

Does anyone know what template is used for this CV? Thanks

what machine learning algoritnm are you using here

thank you for making this video its awesome

sir can we use it in django also

sir its an excellent video but i have a query, at time 16:04 what is spotify_df we need to give

Sir can we save this as an model and load it in django

Can you please provide me the dataset, the kaggle link is showing error 404

i just farted

Can someone help me to find the dataset? I used this link: Kaggle Data: www.kaggle.com/yamaerenay/spotify-dataset-19212020-160k-tracks. But it shows 404 error.

i can't find the dataset could you please give us the link

How much u charge for making a video recommendation system for Android app?

Awesome resume. Will be crafting mine like this.

WOW! Absolutely incredible man, I'm doing my final year project and I'm trying to do some playlist organisation stuff with algorithmic components. This is absolutely what I was looking for, a perfect place to start. I'll be reading deeper into neural networks and such from this video as I want to go for a more complex approach, but I love the stuff man! keep up the awesome work, and thanks for making it so accessible!!

Anyone can please share the dataset link.

unfortunately, the dataset is not available anymore in kaggle

The github link isnt working. I cant seem to open the main code file

Is there a way to make my own recommendations using my own spotify account data?

How does one deploy the model in a cloud platform and then consume in front end app like react. That will be great tutorial. Thanks

Thanks a lot for this tutorial. I learned a lot from this.😁 I made a few changes and implemented in a flask app. Would really mean a lot if I could have your opinion on it. 😃😃 My github username is auddy99 and repo name of this project is recoTrax

Are you still reviewing resumes through the google form?

Coming to the comments late, but I’d love the exploration of impostor syndrome, as I suffer quite a bit from it. Thank you!

This was very helpful for someone starting out in the industry! I recently edited and curated my own resume based on the suggestions in your Resume review videos. Love the insightful videos and looking forward to more content!!

Thank you both Daphne and Madhav for conducting and sharing this session! As a budding analyst looking to get into data science, I found this discussion extremely insightful.

If someone is having the issue of id_name not showing up, they need to create the playlist in spotify and click on "three dots" and click "Make public"

Thanks for the video Madhav!! I would love to see what how you can leverage these models on random Kaggle competitions and datasets.

Hey Madhav, thanks for doing these reviews. These are very helpful. I have a small doubt that - Are Latex resumes ATS scannable? Because it is a bit difficult to format it in word (atleast for me)!

I ran into an error while connecting to Spotify api where it says invalid client after I login what do you think is the issue here

Hey Madhav! Can't turn on notifications for your channel since it's marked as "content made for kids" :(

I only listened to the audio, first, and for over five minutes I was totally perplexed how you could refer to Andrew Ng's course as a starting point 😨. Though, I simply confused his ML course with the Deep Learning Specialisation (which is indeed phenomenal). He is updating the course now and use TensorFlow 2.x, I think. Thanks for your videos. I really enjoy them and hope your channel keeps on growing.

I have been running into this error when I try to run the playlist vector: "MemoryError: Unable to allocate 16.4 GiB for an array with shape (13905, 158284) and data type float64" ... curious on if you encountered this/best way to proceed. I appreciate any help!

love this my man... my goal is to create a recommender system for my final project and your tutorial has been super clear and helpful in getting me started.

This is immensely helpful! Thanks a lot, Madhav.

Wonderful! Also, I just subscribed and I'm the 1000th subscriber!

I am doing a recommender system for a market but I don't know which variables I should take.

Damn! This Resume looks great! Kudos to this guy. Hope you get the job you wish for.

very helpful, thank you for sharing!

I'm calling it, this channel's gonna blow up some day

Very cool. A lot of helpful tips. I would also say contributing to Open Source projects is always a great way to learn and to show your skills.

Great material Madhav. Thank you! I'm near at the middle of my Data Science M.D. and I will have to specialize in a sector/field (Medical, finance, etc.). I would like to have a list of all (or at least the more relevant) fields where DS brings value, so I can make the best decission. Do you have any advice or source I can get to fulfill this need?

Quite an useful kick-start! It was a good flow to follow and understand. Thank you.

How were you able to get the access token using the util.prompt_for_user function? I don't really understand the redirect_uri portion and how to get the access token so I can continue.

Very helpful, thank you! If you could talk about whether or not you'd call the candidate for an interview or if they would need more projects/experience and you wouldn't call them at this point, that'd be very insightful. If you could also talk about red and green flags that you look for in an entry level DS resume, that'd be great.

Any thoughts on Roger Peng's data science specialisation on Coursera? I'm half way through and it's been pretty good so far.

You sir are an absolute LEGEND!