I like how he is doing 10min tutorial but still included a humor intro

@NicholasRenotte

2 жыл бұрын

😆 gotta try to stay a little funny!

These videos are so good. A whole end-to-end project in 10 minutes. And a bit of humour and art tossed in there.

@NicholasRenotte

3 жыл бұрын

Thanks so much @Shivan! Glad you enjoyed it!

@shallusharma4687

2 жыл бұрын

#TensorFlow-- python Library #Explanation with Example kzread.info/dash/bejne/oZ6Z2NFxaLW8kag.html

@Duhgy

Жыл бұрын

Yeah but you aren’t taught anything, you cant learn ml in 10 mins I’m sorry

@priyam66

Жыл бұрын

@@Duhgy that is just to refresh some basics pertaining to Tensorflow. learning ML requires a hell lot of other steps from EDA to Feature Engineering to Feature Selection to HypterParameter Tuning.

@josephmyalla3611

Жыл бұрын

​@@NicholasRenotte ❤

Hey guys if your trying out this video in 2023 July like me you need this line changed for it to run X = pd.get_dummies(df.drop(['Churn', 'Customer ID'], axis=1), dtype=float) the dtype=float is the most important was trying to figure why it wouldn't train all morning and just cracked it.

@dmotson

9 ай бұрын

very helpful thanks!

@shaman3198

9 ай бұрын

Thank you so much !!

Absolutely brilliant. End-to-end in just 10 minutes. Very explicit. Thanks for sharing

This is the most amazing tutorial I have ever watched. I'm not ashamed to say I sometimes require extra explaining but this guy is just spot on with his explanations.

This tutorial is an absolute life-saver. Well done!

I normally never comment on tutorial videos but this was very excellently done! This was exceedingly concise and clear

One thing I like about his videos is how basic he breaks down complex concepts for easy comprehension! Having knowledge is one thing but passing that knowledge on is another. Nicholas is doing great at giving that knowledge!

hey mate just watched your video and thought it was super useful to my learning. You explain everything very well (look good doing so) and left out the unimportant details. Thank you for this content!

Thank you! Up until now I've only done old skool supervised learning. With your tutorial I'm ready to enter the big leagues!!

Although this isn't an actual tutorial, it is cool to see you build a model so quickly!

This was awesome man thanks. I got a good understanding of the flow of tensor flow and also the things I need to learn to become proficient. I def need to understand more about the different network types/shapes and their use cases, as well as the activation algorithms. Also is nice to know that I don't need to dive too deep into learning about the backpropagation and calculus because TF takes care of all of that!

Excellent presentation. Straight to the point, easy to follow and well explained.

Sir, as of all your other tutorials, it is so self-explanatory and clearly defined. Thank you so much.

@shallusharma4687

2 жыл бұрын

#TensorFlow-- python Library #Explanation with Example kzread.info/dash/bejne/oZ6Z2NFxaLW8kag.html

Excellent video! Concise and every step well-explained throughout.

A much needed video! Thank you for the great work!!

This is a perfect introduction to sharing with people on any team that works with someone working with ML. :D

I totally love your dedication on each videos bro !! Thanks for your hard work and keep it going !!!

@shallusharma4687

2 жыл бұрын

#TensorFlow-- python Library #Explanation with Example kzread.info/dash/bejne/oZ6Z2NFxaLW8kag.html

@NicholasRenotte

2 жыл бұрын

Thanks a mil for checking it out @Nguyen Long!!

Thanks for reaching the heart of the matter (4:07) so quickly and then explaining these '4 lines' so well.

@NicholasRenotte

2 жыл бұрын

Stoped you enjoyed it @Saptadeep!

Perfect introduction, thanks a lot! Got me over that first big hurdle

Didn't need to watch those 2 hours video. With your video, I was able to understand the base and the rest is just research and finding codes I need. This helped so much. Thank you! You are the best!

@NicholasRenotte

2 жыл бұрын

YESSS! Once you get the structuring it's all just a matter of building different architectures where needed!

Thanx for sharing your knowledge with us bro. U explain so easily and effectively

Short and sweet! I'll add it to my memory palace. Thanks again.

Can you please cover fall detection ? I've been looking for tutorials on it for 6 hours on internet and i couldn't find a helpful resource.. you explain and makes things everything so easy to understand and no one does it like you !!

your videos are really helping man! appreciate it!

Dude, very nice compact video, thanks for making it!

You are the best, Nicholas. Just Brilliant!!

This is really useful. Give me a much clearer idea on how it works.

Thanks for sharing this! Can’t wait to watch some more of your content.

@NicholasRenotte

3 жыл бұрын

Thanks so much @Scarlett, plenty more to come!

Exactly what I am looking for. Something straight forward

epitome of greatness. Fashion Model looking guy having the best ML/AI lessons on youtube! xD

Thankyou so much Nicholas, this is what I was looking for, whole story in 10 minutes, Tq so much,brilliant effort.

@NicholasRenotte

3 жыл бұрын

It's a bit of a crash course but it goes through the basics right?! 😃

Went along with you and got .8 on the last epoch, but had .78 on the accuracy score. Loved this tutorial; it was so well explained. Thanks!

@NicholasRenotte

2 жыл бұрын

Awesome stuff @Tia, awesome work!

@mariuszzacharuk6167

2 жыл бұрын

I've to say - great stuff, but you must be carefull with input dataset. Because of some missing values in "Total Charges", it's treated as an object instead of series of numbers. This leads to situation, when we feed layer with dimention over 6500 (which is close to cardinaltiy of training set - and this should be huge red flag - at least for example Random Forest prediction models are very bad in this circumstances). After cleaning input dataset, we end up with dimention = 45, which is reasonable in this case.

@shallusharma4687

2 жыл бұрын

#TensorFlow-- python Library #Explanation with Example kzread.info/dash/bejne/oZ6Z2NFxaLW8kag.html

This one video made me subscrib immediately to your channel and like all videos of you ! so perfect and time saving

Finally I understood thank you for explicit expansion of those attributes.

This was very helpful. Thank you very much.

awesome and simple explanation

great job and nice and concise work..

Great video, Nicholas.

so brilliantly!!! Very unselfish 🙏💐

This is brilliant! Well done Nicholas so helpful!

@NicholasRenotte

3 жыл бұрын

Thanks so much @Kevin! If you're interested, maybe check out Object Detection with Tensorflow next! kzread.info/dash/bejne/q6Wfq7WCc6uuXbg.html

To the mark. Keep going!

Cheers mate u are doing brilliant things!

So perfectly explained. Thank you

@NicholasRenotte

3 жыл бұрын

So glad you enjoyed it @Anirban!

amazing video easy to understand

Subbed! The video is so good!

absolutly subscribed

Great video, veeery instructive and useful. ¡Gracias!

Okay! This was much needed. Thenks!

@NicholasRenotte

3 жыл бұрын

Thanks so much @fukat!!

This was awesome

Great video!

EXCELLENT tutorial. Thank you..

@NicholasRenotte

3 жыл бұрын

Awesome stuff @Mohamed, glad you enjoyed it!

Beautiful!!!!

wow great and fast ! thank you!

I am about to choose a major at university as a high school student! you would be the one who has been inspiring me to learn AI! what an amazing channel bro!

@NicholasRenotte

2 жыл бұрын

YESSS, go getem!

Add to it 1 month to start understanding what it is that you are doing and how to improve your models.

Top video, mate. Usually any Aussie who pronounces data as “day-ta” instead of the objectively superior “dah-ta” won’t win my respect. I’m willing to look past this for you xx

@NicholasRenotte

3 жыл бұрын

Cheers @Billy, I'll drop a "dah-ta" for you in one of the future videos 🤣my US colleagues have given up on trying to convert me!

Great work...

Good video mate.

Love This!

Another great video 👏

@NicholasRenotte

3 жыл бұрын

Yeayyyahhh, thanks @Gustavo!!

Understood one word out of 5, but this will for sure make me wants to work with it.

Fantastic !!

Yeh,It's Really helpful ,Thank you for the video

very helpful. made this seem "easy", which it def is not. Thanks!

Very helpful

QQ: why do you use sequential if the TensorFlow docs say it shouldn't be used if "your model has multiple inputs or multiple outputs"? I saw your csv has a ton of factors and you have one output you are looking for. I have a very similar project where I have nfl game stats and I need to predict if the home team won. Any help is appreciated!

When i tried to run through this exercise i ran into an issue: model.fit(X_train, y_train, epochs=200, batch_size=32) gives errorValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type int). So to get around this - I converted X and y train to float32 X_train = X_train.astype('float32') y_train = y_train.astype('float32') Later i ran into a similar issue with: y_hat = model.predict(X_test) y_hat = [0 if val So again - converted X_test = X_test.astype('float32') Everything seemed to complete as expected with 0.79 accuracy score. Thoughts?

Nice, thanks.

Excellent.

I remember my grad days for data science and this would still scare me for a test like that lol. Great video!

@NicholasRenotte

3 жыл бұрын

Hahahah, ikr, man I've been working with TimeDistributed layers right now and it's giving me the same nightmares!

@terristhompson9860

2 жыл бұрын

How long and time consuming was grad school for data science? Could it be done with a full time data science job?

@protovici1476

2 жыл бұрын

@@terristhompson9860 2.5 years and fairly time consuming given the various complex topics it covered (the college is nationally recognized). You'll need a heavy background in stats/computer sciences to obtain a data science job (a real one not just by name working in just excel or the like). One just can't go straight into becoming a lawyer without education just like data science.

@terristhompson9860

2 жыл бұрын

@@protovici1476I’ll let you know if that last part is true or not after my interview next week.

This video is awesome, I have two questions because I'm new in Tensorflow, 1- Do we need to encode numeric data in the data sheet before we start building the model?, because I didn't see that in the video. 2- How we can map the prediction results 0, 1 to Yes, No as per the data sheet?

What does the output "accuracy score" (of ~59%) actually mean on the Churn model? Does it mean there is a correlation between one or more columns from the features and the target variable?

Thank you! Excellent! May I ask a dumb question? Is this using a GPU? And do you have any videos on how to use the GPU (if TF doesn't automatically use it)??

Thank you for this..

you are a rockstar.

Lately I've been developing a large Tensorflow model, and I'm getting out of memory errors, from what I've learned it seems the best solution to this road block is gradient checkpointing, however there is little to no resources online about it. Could you make a video covering gradient checkpointing?

I had a little trouble getting the CSV file in place. It would have been great to point to the file upload capability in Colab. Other then that, awesome! THX.

If you added more dense layers would the model be able to predict better?

Sir i am gotting lot of error in tensorflow pkg importing where i got a complete tensorflow pkg or pre installed pkg of tensorflow and its depwndencies

is there any rule like, to load the model, the model should be saved in same computer and with same version of tensorflow. I am asking this because, i downloaded a pretrained model from tensorflow zoo into my pc. Then I use this load function with model folder. its not working

You are amazing!

@inquisitivelearner8649

8 ай бұрын

Compile - When computer turns code into machine language (the language understood by the computer)

can u tell me why we are using X and Y variable , and what does the get_dummies func do .

Thank you for sharing. Your video has helped me learn a little more about TensorFlow with Python. 13may23

Thanks for this video Mick. I just think it would be better and more understandable for beginners if you go more into details and explain them more

@NicholasRenotte

2 жыл бұрын

Doing new vids on that as we speak!!

Why 32 and 64 units in the dense layers? How to know the no. of neurons to have in my NN layers?

Please help. I ran the tutorial in google colab, got the model out to drive, then back into the colab notebook. I dont understand what i am supposed to do with the model once it's ready. This tutorial doesnt like, open it up and look at what it learned. Can someone please offer guidance?

Does it enable to train any kind of task required to achieve? can it learn from it for example how to do videos correctly? (Im a complete total noob in AI so I have no idea)

I love your videos! I have a small problem with this one though. This is rather keras and not tensorflow. With plain tensorflow you need lots more coding (which of course comes with greater flexibility)

@NicholasRenotte

3 жыл бұрын

Heya, ultimately using Keras with a Tensorflow backend. You still have a lot of flexibility running using the Sequential API, I'd agree though, there is a lot more flexibility using direct tensorflow layers. In my opionion however unless you're creating complex models or performing research it seems like overkill for most use cases.

good video. just wish you would've done the MNIST dataset

great :)

How to fix AttributeError: module 'numpy' has no attribute 'object' while importing tensorflow?

Great video.. Only thing that troubled me was the data selection using pandas but I will find out

@NicholasRenotte

3 жыл бұрын

Awesome! Want to share? Happy to help out!

OK. you have the biggest eyes on the planet. YOU WIN!

Can you use ordinal data in a predictive model?

0:23 _NICHOLAS RENOTTE - WORRIED ABOUT THE TIME LIMIT_ *Talking fast* LOL, that made me laugh really hard. I also enjoyed the video.

Hi Nick, can you comment which is the business case with this model? What do we want to predict? In which escenario can do we use this model? We got the model and the accuracy_score but then how can we use it? Quite new to Data Science. Thanks.

@NicholasRenotte

2 жыл бұрын

Heya Juan, so churn prediction is a really popular ML task in businesses because it's to do with predicting customers that might leave our company. This is important to get on top of (and ideally try to keep the customer) because it costs a lot more to attract a new customer than to keep an old one!

😂loved the intro

@NicholasRenotte

3 жыл бұрын

🤣 not gonna lie, that was me when I first started learning it!

What is the output of this ? Having a number like 0.8 is of no use when I want to see how many have churned. You could just have put a filter on the Excel sheet on the Churn column !

bro "-" u r the best