Комментарии:
What happens with 100 days of aiml
ОтветитьYes, what happened 100 days challenge?
ОтветитьAn excellent ML project tutorial for beginners!
ОтветитьI referred 6 days, then I finally watched, 100 days challenge is no more videos.
ОтветитьHi.. that's a great tutorial! As a college student I'm new to ai and ml, and currently I'm doing a project on detecting impersonation in online examination, As a beginner I feel it is hard but I have to finish it, can you do a tutorial on this? It would be helpful for me and to inspire me to do explore more in this domain🥺💫
ОтветитьAmazing!
ОтветитьI think you forgot to put the link for the dataset in the description.
Ответитьdataset?
ОтветитьOk so I'm gonna say it, you don't have to, but I'm unsubscribing to other channels that's just gonna waste my time and affect my focus.
ОтветитьAs always, a very useful video!
ОтветитьI hit the bell button, hope this will by cool.
ОтветитьI'm not into python.. :(
ОтветитьThanks a lot for this🙌
ОтветитьThis is an excellent video for absolute beginners! Looking forward to more videos!
ОтветитьWhich is best Laptop for Machine Learning Engineer
ОтветитьPlease help me understand how such an implementation is deployed. If we use this in real life we will need to obtain day to day values of the features that are being incorporated into the model. From where do we get that data?
ОтветитьWow, Upgini really is something else. It's so cool how it can find data that's actually relevant to your training set so seamlessly. This is the first time I've seen anything like it! Does it pick out the enrichment data purely based on the search key you provide and how well it correlates to the target?
ОтветитьPlease we need more project based tuts, and keep going really helpful
Ответить𝐩яⓞ𝓂𝓞Ş𝐦
ОтветитьThank you so much Smitha! I’m really enjoying this project series on ML and it has helped me a lot in my ML learning journey. Hope you could continue it 🫶
ОтветитьIf you want to use upgini in production mode you can use transform method. It enriches any datasets on a production step with an actual features for a present day
ОтветитьThank you for the video, I have just finished the notebook and I want to ask how can I participate in Kaggle competition, what is the next step and THANK YOU!
ОтветитьHi Smitha, thank God i found you online. ML projects are basicly all i need now. Meanwhile was that project complete, i tot u were going to predict something.
ОтветитьI am having an error please help.
calculate_metrics() got an unexpected keyword argument 'eval_set'
Amazing video. I learned so much. Thank you for your help
ОтветитьHello ma'am, can you suggest AI related Project for participated in Hackathon
ОтветитьThis was such an amazing video. Could you please do more of these step-by-step machine-learning project tutorials? They're really helpful!
ОтветитьI know this video is 10 months old and you may be doing this by now, but the flow of your videos would go faster and smoother if you were talking and typing at the same time. I see when you type you are looking at another monitor. This creates a pause and ruins the flow of your presentation. Everything you say after you type you should say during. This was feedback that I got from teaching online coding students. I used to do the same thing.
ОтветитьYou can do alt+down arrow and it will duplicate the line underneath in colab.
ОтветитьVery nice approach...you can try normalizing and/or standardizing the feature values too...might or not gives you better scoring, but it'd help with the computations and time performance of the model
ОтветитьDataset link not opening , please update
Ответитьi cant install upgini in my vs code can you give a solution
ОтветитьLEGENDARY
subscribed and liked
I am a java developer for more than a decade with python handson. Do you have a detailed tutorial on machine learning basics 😊😊
Ответитьif you're forecasting sales weeks/months in advance, wouldn't you need to know what your features are weeks/months in advance? Example: if I want to know the sales forecast for April (and it's February right now), I would need to know all the features for April (aka the items, dow jones, the weather - or whatever the features we trained on are). So, shouldn't we check if we can even predict these features first?
ОтветитьWow this is amazing!!! Thank you so much 💯😊
Ответитьgood girl.from africa
ОтветитьI'm getting error at enriched_train_features.head()..as it says head is noneType
ОтветитьHi Smitha, it refused to install the dependencies, nothing works on my end
ОтветитьHey,
I tried to make the enriched dataset but this error happened:
You are trying to launch enrichment for 15213 rows, which will exceed the rest limit 10000.
what should I do??
I get an error - "You are trying to launch enrichment for 730500 rows, which will exceed the rest limit 10000."
Ответить🐍
Ответитьthank you
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