Suggestion: @12:23 instead of translating a natural language to another natural one why not translating it to SQL statements. I think in this way the model has a business potential especially for employees who don’t know SQL. E.g “What’s the total salary of Mike last year?” -> “SELECT sum(salary), name, year FROM Employee WHERE name = ‘Mike’ AND year=2020; Btw love your videos Keep it up 👍❤️
This is excellent! I am starting my data science journey and this is the information that I need. Thanks for categorizing these into levels along with their applications.
I just chilling and looking for your videos and just got this notification. 1st view and first comment. I have been always enjoying your every video. Keep it up, mate.
I can blindly pick any of your videos on any day ! I'm sure I will learn something new every single time! You Rock man :) Waiting for the Super Resolution episodes
I'm starting a final project in the next two weeks! I'm still wondering around to get some ideas to pick a project. This opened my eyes!! Thank you so much!! 😃🙏💙
I also eagerly wait for your video. I am a beginner in machine learning field .Your videos encourage me a lot. That I can also do my best in this field. Thanks to you
you know what sir, first i watch complete video in TH-cam and then I download the video. this video is very helpful like your other videos and thank you soo much. 🤞🤞
Hi Nicholas, i had some suggestions regarding your project recommendations, me as a student would love to know some creative ideas which actually solve a real world problem, not just a application which is just being used as utility for fun.I personally feel like those projects are more impactful and would love to know your brainstormed ideas on using ML to solve real world problems
In my opinion, thr creative ideas or such that would solve real world problems are indeed more impactful and give a better goal to work towards but the thing is...the projects being recommended are such that you can improve your skill set and advance as of these projects so that in the future when we come across a problem we can use this acquired knowledge to find solutions for it etc. So the goal here is to give the learner experience with problems. Just a opinion from another guy on the internet
That is a great video! :) Getting ideas and inspiration for projects is super helpful! And DUUUDE.. I'm gonna watch your style transfer video right now :D That is super awesome ^-^
AYYYYYEEE, man it's sooo cool. Nobody really wanted content on GANs from the last poll but I think it's sick so I've been secretly writing up the projects in my spare time anyway!
@@NicholasRenotte I kinda suspect that it's not a case of "nobody wanted it" but more of a "they just wanted the other options a little bit more" :D Would be super helpful in this case if TH-cam had multiple choice polls or something. Maybe it might even be interesting/helpful for you in the future to do a more in-depth survey about what your viewers want, with google forms (or your own little website)... who knows, maybe you could even use the resulting data from that in another ML project, with the right privacy policy stuff :D Just an idea though, it seems like you do have tons and tons of projects in your mind already :D I am definitely looking forward to learning more about GANs, it's actually something I haven't dived into at all so far, so it would be hugely interesting for me to learn something about it :) Generally, there's so many different techniques nowadays, and I wanna learn about ALL of them :D I love learning and ML is one of my huge passions :) So TL;DR: Hugely looking forward to all your videos, I'm pumped for them! Thanks A TON as always, for putting in the time and love :)
Love your videos man, keep it going! I'm currently gonna start working using using vision transfomers for a continuous wavelet transform dataset of sensors that I have. An idea for a video would be to talk about vision transformers haha, in any case, great content.
I study at the university the computer department, but I do not have a computer, I attend electronic lectures and exams on my mobile. I wish I had a computer, I work to buy it, but it is expensive 😞😞
Thanks for the useful and excellent content! Could you give your view on the role of probabilistic models? They seem conceptually more difficult and even understanding a use case is hard!
Love all your work...you are great. Question is it possible to create an app that searches audio files for keywords....Like if I want to search through a bunch of my audio files for a certain subject that was discussed is that possible.
Discover machine learning projects you never knew existed, from AI-powered art generators to predictive models for rare diseases. Explore innovative applications like deepfake detection systems or algorithms for environmental monitoring, showcasing the limitless possibilities of ML beyond conventional use cases.
Keep cracking at it!! Tbh, I start off feeling like I have no idea what I'm doing most of the time, working on GANs this week and I'm exactly in that headspace. It just takes time and commitment :)
i tried the space ship landing , but the libraries had circular issues where one required scipy 1.4 and another rescipy 1.6. and tensor flow 2.0 and was library available. making the tutorial useless.
Hi Nicholas! I' m in trouble with OneHotEncoder. I get the categorical features encoded using OneHotEncoder, everything works sweet, the problem comes in place when I try to use predict (I'm using RandomForestRegressor) because I have to encode the entry. I really can't figure it out, I have an entry like this ['Honda', 'White', 71934.0, 4.0] (Make, Color, Odometer, Doors). I use a ColumnTransformer so I try to do something like this model.predict(transformer.transform([['Honda', 'White', 71934.0, 4.0]]) it thrws an error. I really can't solve it out. Would you be so kind to shed some light on that? Thanks in advance.
is there anyone who can help me, Idk what is the problem with me!! problem is: I am not able to do any of the project myself in any domain (web, ml........) I just follow tutorial and do as Instructor did!!any solution?
Hello Sir, Thank you for the video. Sir, Can you make an end-to-end projects series like mobile app, webapp with ML and DL use cases? Or you can teach us how can we deploy and build the app for intermediate projects which you mentioned in the video.
Beginner:
1. Churn Prediction
2. Sales Forecasting
3. Sentiment Analysis (Twitter API / NLTK)
Intermediate :
1. Automatic Number Plate Recognition (Computer Vision)
2. Text Generation (Transformer Modules / Hugging Face)
3. Exercise Correction
4. Comment Toxicity Classification
Advance:
1. Image Super Resolution (Boost image quality)
2. Game Playing ML Model
3. Neural Machine Translation
4. Action Recognition
5.Neural Style Transfer (Transfer art style to image)
Writing this from the future where Elon runs twitter (now called x) and the twitter api is prohibitively expensive.
I used to be your fan but after watching all of your videos I become a whole airconditioner.
I am obsessed with you channel!
LOOOOOL, legit laughed out loud when I read this! Thanks so much!!
This is so true! There is nothing like doing projects! Especially hundreds if not thousands of projects!
💯💯💯
Suggestion: @12:23 instead of translating a natural language to another natural one why not translating it to SQL statements. I think in this way the model has a business potential especially for employees who don’t know SQL.
E.g “What’s the total salary of Mike last year?” -> “SELECT sum(salary), name, year FROM Employee WHERE name = ‘Mike’ AND year=2020;
Btw love your videos Keep it up 👍❤️
I think those are awesome use cases! Could definitely be achieved using similar models!
This is excellent! I am starting my data science journey and this is the information that I need. Thanks for categorizing these into levels along with their applications.
How is it going?
I just chilling and looking for your videos and just got this notification. 1st view and first comment. I have been always enjoying your every video. Keep it up, mate.
Dayum, you were quick! Thanks so much for checking it out!! 🙏
@@NicholasRenotte I am sick with the machine learning. 😌
I can blindly pick any of your videos on any day ! I'm sure I will learn something new every single time! You Rock man :) Waiting for the Super Resolution episodes
Thanks soo much, working on it as we speak!
I'm starting a final project in the next two weeks! I'm still wondering around to get some ideas to pick a project. This opened my eyes!! Thank you so much!! 😃🙏💙
What did you decide? Any suggestions for me?
I also eagerly wait for your video. I am a beginner in machine learning field .Your videos encourage me a lot. That I can also do my best in this field. Thanks to you
This is the only channel where I watch videos at the normal speed...it's soothing and interesting.
Eyyyy, thanks @Mudit!
Thank you for this, I was looking for projects that were unique and help my cv standout. This is exactly what I wanted.
I know u from a class about TM1, our teacher admire your work so much and he is the expert in TM1 himself.
Nick, You are awesome!! I am your big fan! Thanks for being there for us.
Little late, school and work take all my time, but like alway, super content, Nicholas.
Either way, you're a legend! Thanks for tuning in!
you know what sir, first i watch complete video in TH-cam and then I download the video. this video is very helpful like your other videos and thank you soo much. 🤞🤞
So glad you found it useful!!! 🙏🙌
awesome video once again, been watching ur videos lately they're so good and i've learned a lot
Thanks so much @Phillipe! Super awesome to hear!
Super resolution is magic
IKR, I'm getting NaN errors all over the place when training atm though, gotta tweak that learning rate!
Thanks Nicholas, regards from Argentina!
Ayyye, thanks for checking it out @Silvio, much love from Sydney!
Hi Nicholas, i had some suggestions regarding your project recommendations, me as a student would love to know some creative ideas which actually solve a real world problem, not just a application which is just being used as utility for fun.I personally feel like those projects are more impactful and would love to know your brainstormed ideas on using ML to solve real world problems
Hey, can we work together on projects?
In my opinion, thr creative ideas or such that would solve real world problems are indeed more impactful and give a better goal to work towards but the thing is...the projects being recommended are such that you can improve your skill set and advance as of these projects so that in the future when we come across a problem we can use this acquired knowledge to find solutions for it etc. So the goal here is to give the learner experience with problems. Just a opinion from another guy on the internet
if you are a beginner you need to start somewhere simple first, looking at real world problems the data are unstructured and could be intimidating.
your videos are amazing and intuitive never stop
100% agree, projects are very important!
Subjectctivity 👀
Very informative and interesting video Nicholas! Thanks! You're my main inspiration for my ML journey :D
😅 yeah……if you’ve been on the channel you’ve probs heard of all of these before tbh 😉 😂 thanks for checking it out my guy!
Thank you very much this video has cleared many doubts and helped a lot for classifying the projects at industry level
Nick, thanks for making this vid. It really helps me to keep in track 🙂.
Anytime! Plenty more projects to come on the channel!
I Learned a lot from your videos. thanks a lot Nicholas. 🙏🔥
YESSS, go getem @Behrad Sayyad!
Thanks alot for this awesome list🔥🔥
Anytime @Divyank, got some projects you're working on now?
Wow, thanks for these types of videos.
This was such a great video thanks a lot sir.
Nick, You are awesome!! you got subscriber just now
I tried to build a custom OpenAI Gym environment to play a game in real time. Some heads up on that subject would be awesome.
Nice, I’ve got some code floating around for it with PyGame will need to resurrect it.
Why is this an underrated channel?
:) th-cam.com/video/W1pw_ojO7XE/w-d-xo.html
That is a great video! :)
Getting ideas and inspiration for projects is super helpful!
And DUUUDE.. I'm gonna watch your style transfer video right now :D That is super awesome ^-^
AYYYYYEEE, man it's sooo cool. Nobody really wanted content on GANs from the last poll but I think it's sick so I've been secretly writing up the projects in my spare time anyway!
@@NicholasRenotte I kinda suspect that it's not a case of "nobody wanted it" but more of a "they just wanted the other options a little bit more" :D
Would be super helpful in this case if TH-cam had multiple choice polls or something.
Maybe it might even be interesting/helpful for you in the future to do a more in-depth survey about what your viewers want, with google forms (or your own little website)... who knows, maybe you could even use the resulting data from that in another ML project, with the right privacy policy stuff :D
Just an idea though, it seems like you do have tons and tons of projects in your mind already :D
I am definitely looking forward to learning more about GANs, it's actually something I haven't dived into at all so far, so it would be hugely interesting for me to learn something about it :)
Generally, there's so many different techniques nowadays, and I wanna learn about ALL of them :D
I love learning and ML is one of my huge passions :)
So TL;DR: Hugely looking forward to all your videos, I'm pumped for them! Thanks A TON as always, for putting in the time and love :)
@@NoMercy8008 yess, I need to start collating my research somewhere. Been doing a ton of research into GANs, lately, so much cool stuff to come!
I love the way you explain things
Love your videos man, keep it going! I'm currently gonna start working using using vision transfomers for a continuous wavelet transform dataset of sensors that I have. An idea for a video would be to talk about vision transformers haha, in any case, great content.
Nice, transformers and VITs are definitely on my hit list soon @Jorge!
Loved this!
🙏🙏🙏
you really motivate me, thanks you alot
Yesss! Go getem!
I'm going to do all these, thanks
Great content, subbed
Thanks so much @Mariusz!
I study at the university the computer department, but I do not have a computer, I attend electronic lectures and exams on my mobile. I wish I had a computer, I work to buy it, but it is expensive 😞😞
Mate, you are a goddamn legend!
Hey, you guide me into the sucess !!!! Thank u!!!
YESSS! Made my day!
Will u please make all these project in TH-cam
amazing as always! Can you try to do some Human body size estimation using 2D images that would be amazing!
Thanks, Nicho.
🙏🙏🙏
you just got a new follower
as always great
please make a video on sentiment analysis in browser using js.
Ooooooh, this is going to be interesting, haven't done any js in a few months!
great video , thanks a lot
Thanks for the useful and excellent content! Could you give your view on the role of probabilistic models? They seem conceptually more difficult and even understanding a use case is hard!
Thank you for this video! You're kind of my favorite youtuber lol
Where's the "Build a deep facial recognition app" part 3? :p
Coming Sunday, promise :)!
@@NicholasRenotte This is great! :D Thank you for all the effort!
Nicee, i need help with triplet loss etc
@@pedrodsk shoot, what's up?
@@NicholasRenotte I'm really your fan
You are great nichloas ! really ..
For Machine Translation @12:00 could you link any examples that could help introduce/get started on this? Great content please keep it coming! 😎
Could you work with raspberry pi with OpeCV and machine learning projects?
Love all your work...you are great. Question is it possible to create an app that searches audio files for keywords....Like if I want to search through a bunch of my audio files for a certain subject that was discussed is that possible.
Yup! One of my colleagues actually built something like that to search through Tedx talks!
Thank you for this good vidéo
Sir, how about the Audio Classifier with Python and Tensorflow project
Thankyou so much
hie Nicholas, can you do a tutorial on how to come up with a new project . Thank you so much , i am also doing data science projects😊
I have one problem.
is every ML model has a neural network? If not please give me a summary of the ML Model with ANN & ML Model without ANN
Nope, not all.
i need this, i am a begginer thank you
Discover machine learning projects you never knew existed, from AI-powered art generators to predictive models for rare diseases. Explore innovative applications like deepfake detection systems or algorithms for environmental monitoring, showcasing the limitless possibilities of ML beyond conventional use cases.
Can you please give any idea of how much GPU must be required for training of all those GAN Models ?
wonderful video
Aspiring data scientist who loves the intermediate and advanced levels but feels so far.
Excited for the journey ahead 🤩
Keep cracking at it!! Tbh, I start off feeling like I have no idea what I'm doing most of the time, working on GANs this week and I'm exactly in that headspace. It just takes time and commitment :)
Where can i get data to build this kind of projects?
Finally
Something to do
Yeahhhya, how's the robotics team going?
@@NicholasRenotte eh, nothing much I'm learning Java
@@Powercube7 niceeee
i tried the space ship landing , but the libraries had circular issues where one required scipy 1.4 and another rescipy 1.6. and tensor flow 2.0 and was library available. making the tutorial useless.
These are all interesting ideas, but how would you recommend getting the data? From Kaggle?
Cool. Wheres the projects homie?
when will Build Facial Recognition App Part 3 will come??
Tomorrow :)
Nice one
Could you please tell us where are the tutorial links to these projects?
Hi Nicholas! I' m in trouble with OneHotEncoder. I get the categorical features encoded using OneHotEncoder, everything works sweet, the problem comes in place when I try to use predict (I'm using RandomForestRegressor) because I have to encode the entry. I really can't figure it out, I have an entry like this ['Honda', 'White', 71934.0, 4.0] (Make, Color, Odometer, Doors). I use a ColumnTransformer so I try to do something like this model.predict(transformer.transform([['Honda', 'White', 71934.0, 4.0]]) it thrws an error. I really can't solve it out. Would you be so kind to shed some light on that? Thanks in advance.
For churn prediction, Can I use PyTorch or Keras ? Or scikitlearn is enough?
Are Markov's chains applied to churn models?
is there anyone who can help me, Idk what is the problem with me!! problem is: I am not able to do any of the project myself in any domain (web, ml........) I just follow tutorial and do as Instructor did!!any solution?
Hello Sir, Thank you for the video.
Sir, Can you make an end-to-end projects series like mobile app, webapp with ML and DL use cases? Or you can teach us how can we deploy and build the app for intermediate projects which you mentioned in the video.
Happening atm, the siamese network series will conclude with an app!
Make video of shoplifting
I'm a beginner at this
Can you introduce some sites to get the project ?
thanks
Can u send a data set?
how do i develop UI for these projects
Any updates bout super resolution?
can anyone share source code for intermediate and advanced projects for reference pls
I thought you'd say the Adam Project
i cannot find the link to toxicity dataset and the example, can you please link it.
how to make these source code!! not avialable
where can i find tutorial for these topics
Any ML project ideas which aren't available on kaggle or Google?
But how do you get this data?
Does anyone have a churn prediction CSV file?
Check this: www.kaggle.com/blastchar/telco-customer-churn
👏🏽👏🏽
🙏🙏🙏
when your going to upload video on super resolution
7:47
Which programing language you used brother ?
He uses python
goostav
Bro speaks in uppercase
I wish I started that before 36 there’s too much to learn now 😢
Oye kaalu
:(
"I will link to that in description below" 0 links... shame seemed like an interesting channel to subscribe to, but just a click bait lie channel....