Excellent video, thank you for sharing! I have a question, you're predicting Open, Close, Min, Max, Adj Close and Volume at the same time and get values for each one of these dimensions, that's what is called multivariate time series forecasting. But, when the LSTM is running, does it consider Close, Min, Max, Adj Close and Volume of the given period to predict the Open value? I mean are we predicting Open, Close, Min, Max, Adj Close and Volume INDEPENDENTLY or does the algorithm considers all the other dimensions to predict one of them?
@InsightsByRish2 күн бұрын
Hi @Anthony-o1b2j, thank you for your kind words! I'm glad you found the video helpful. To answer your question: Yes, when using an LSTM for multivariate time series forecasting, the model considers all features together. It doesn’t predict each feature independently. Instead, it takes into account the relationships and interdependencies between all the features to make predictions.
@hardik44173 күн бұрын
thank you for providing such content
@InsightsByRish2 күн бұрын
Glad you liked it!
@indahwira11554 күн бұрын
thank you for your video, it really explains every step and I'm glad I found your video!!🤍
@InsightsByRish4 күн бұрын
Glad to hear that!
@karthikmt3615 күн бұрын
Very good session.
@InsightsByRish5 күн бұрын
Glad you liked it!
@williamsherman69956 күн бұрын
I'm stoked! Thank you Rish 😃
@InsightsByRish6 күн бұрын
Glad to hear that!
@wilfredomartel77817 күн бұрын
a very intuitive video!
@InsightsByRish7 күн бұрын
Thanks for appreciation!
@ilyeskesri65247 күн бұрын
keep going thank you
@hardik44177 күн бұрын
Projects are unique but please add PREDICTIVE MODEL to give output on new sentence
@InsightsByRish7 күн бұрын
Yes sure, I'll keep that in mind! I've actually included that in my 'Text Summarisation' video.
@maitrimarwaha62508 күн бұрын
maam please make a project on regression along with random forest , decison tree, EDA and feature engineering
@InsightsByRish7 күн бұрын
Okay, Will make soon!
@maitrimarwaha62509 күн бұрын
thankyou maam These days companies are asking for project on time series analysis using arima and hypothesis testing. i really like your way of teaching , can you please make a project on this
@InsightsByRish9 күн бұрын
Yes, I'll surely make more on that topic soon. (Btw I already have one on my channel using SARIMAX).
@pallabbiswas275210 күн бұрын
thank you,please make a video on Semi-Supervised EfficientNet ,
@InsightsByRish10 күн бұрын
Welcome, will make 👍🏻
@maitrimarwaha625011 күн бұрын
Thankyou so much maam, was finding some easy to understand project but was not able to find any, thankyou for all the efforts, i wish you all the happiness of the world
@InsightsByRish10 күн бұрын
You're welcome! I'm glad you found it helpful. Your kind words mean a lot.
@ilyeskesri652412 күн бұрын
Good tutorial thanks
@MuhammadEhtisham-cm5vr16 күн бұрын
Mam can you explain I bit about this bert , I went through ml , dl , now learning gen ai , in which I have covering transformers for now , and building projects for fine tuning and rag , where Bert falls in the category ?
@MuhammadEhtisham-cm5vr16 күн бұрын
Model architecture is it type of transformer or neural networks ?
@InsightsByRish16 күн бұрын
@@MuhammadEhtisham-cm5vr BERT is a 'Transformer model'.
@bertobertoberto317 күн бұрын
Good. How do you extract the features? For analyzing which feature is the most important ones
@InsightsByRish17 күн бұрын
You can use the correlation method to extract important features. Features with higher absolute values of the correlation coefficient typically tend to be more important. I hope this addresses your question.
@jojo-t2o19 күн бұрын
I must commend you on your good work ! They are really informative. But please I have a challenge with VGG16 architecture. Is there a way to reach out to you privately on this
@InsightsByRish17 күн бұрын
Thanks for appreciation! Yes you can connect with me in personal: Email : [email protected] Instagram : instagram.com/InsightsByRish
@jojo-t2o17 күн бұрын
@@InsightsByRish Thank you. Have sent you a mail
@DhruviPatel-ez9il21 күн бұрын
Thanks for your video 😊
@jaisiddhisuperpowerpltd187222 күн бұрын
mam , are you indian or foreigner
@yashsinghal747123 күн бұрын
that's too good.. 🙌🙌
@InsightsByRish23 күн бұрын
Thankyou !
@tharunbhaskar679524 күн бұрын
Thanks. Really informative. Need a video explaining the differences between different models and when to use where. Like in which scenarios NavieBayes will be useful and in which the SVM classifier will be useful
@InsightsByRish24 күн бұрын
Thanks for appreciation. Will make a video soon about that!
@MuhammadEhtisham-cm5vr25 күн бұрын
great work mam
@benstiller129725 күн бұрын
Thank you so much for this video
@MuhammadEhtisham-cm5vr29 күн бұрын
and plz share a roadmap for gen ai mam
@MuhammadEhtisham-cm5vr29 күн бұрын
mam do you have linkedin
@MuhammadEhtisham-cm5vr29 күн бұрын
mam , any data science fyp idea , plz i am confused for my fyp
@InsightsByRish29 күн бұрын
Recommendation Systems or any kind of chatbots can be a good option.
@MuhammadEhtisham-cm5vr29 күн бұрын
mam , plz explain , the difference between , fine tunning and rag , and implementing of rag, cause rag is much in demand now
@InsightsByRish29 күн бұрын
Hey, even I'm in the process of learning and researching about GenAI. So once I'm done, I'll make videos on GenAI concepts and projects in detail.
@karthiksundaram54429 күн бұрын
❤
@sabari1187Ай бұрын
Thank you
@mkaberli614Ай бұрын
Well, if you listen to certain MSM outlets, anytime a conservative says anything at all, especially if its true, someone will attack it as hate speech. I'm certain the comment I'm leaving here will be censored. Go figure, simple as that.
@MuhammadEhtisham-cm5vrАй бұрын
mam go for Llms they are also , interesting and can make many good projects on that , once again thanks for the valuable content
@MuhammadEhtisham-cm5vrАй бұрын
great thank you mam for the amazing explaination ! waiting for the feature engineering part
@InsightsByRishАй бұрын
Yes, uploading soon!
@RDFunFactory563Ай бұрын
outstanding work, I learned so many things from your DL videos, can you please make a video on augmentation data with transfer learning using the image dataset you used in the lung cancer detection. thank you!
@RDFunFactory563Ай бұрын
outstanding work, I learned so many things from your DL videos, can you please make a video on augmentation data with transfer learning using the image dataset you used in the lung cancer detection . thank you!
@InsightsByRishАй бұрын
Thanks for appreciation! I'll soon make that but on a different dataset. As the lung cancer one becomes too heavy for processing after augmentation.
@RDFunFactory563Ай бұрын
@@InsightsByRish Okay mam, thank you, but please can you use the Histopathological images dataset, actually I am a graduate student researching cancer cell detection using Histopathological images. so I will get some help. thanks!
@jojo-t2o18 күн бұрын
@@InsightsByRish Hello there, Thanks for your video as its been very helpful. So I'm on similar model for different datasets but my current challenge is that my loss and accuracy are low. Can assistance with that.
@MuhammadEhtisham-cm5vrАй бұрын
plz make a seperate videos for feature engineering and scaling
@InsightsByRishАй бұрын
Ok, will make soon.
@MuhammadEhtisham-cm5vrАй бұрын
great work , plz , make a explaination video about svm ! and its implementation
@InsightsByRishАй бұрын
Yes, soon
@MuhammadEhtisham-cm5vrАй бұрын
great work , i am learning alot from your videos , plz make deep learning projects related to cv and nlp , and plz try to train and test from a raw dataset , will be thankful ! keep up the good work
@InsightsByRishАй бұрын
Thank you! And yes, I'm making more such videos. Stay tuned!
@SM-eh6vzАй бұрын
thank you...
@darshangogoi9895Ай бұрын
Please make a video on electrical transformer fault diagnosis using machine learning.
@InsightsByRishАй бұрын
Will definitely try!
@darshangogoi9895Ай бұрын
Please try as soon as possible 🙏. It will be very helpfull
@ibrahimnazari8376Ай бұрын
nice explanation, thanks
@AkhileshMaurya-nm8jrАй бұрын
mam when are making video market segment analysis ml parts 2
@InsightsByRishАй бұрын
Will try! But I have the machine learning code here: github.com/RishaRane/Market_Segment_Clustering.git
Thank you for the video, I trained it for more epochs and the result is --> in terms of accuracy it improves and after a few epochs the accuracy decreases and again it improves, it is imbalance but for only 1 class (healthy) so, does this kind of behaviour of model shows overfitting or some other problem ?
@InsightsByRishАй бұрын
I think it's likely a combination of both factors(overfitting and imbalance). But still I would say 'Overfitting' can highly be a factor (as that's a small dataset getting trained on high no.of epochs).So you might try adding few dropout layers or Batch normalisation layer. After adding that your accuracy will be dropped a bit but atleast it wouldn't fluctuate.
@pratikraut1376Ай бұрын
@@InsightsByRish After experimenting with parameters, it is not fluctuating --> I reduced the number of data augmentation techniques, changed the learning rate to 0.002 and also changed strides to 1. It is still overfitting though may be the dataset is small need to work on it.
@hriupadhyay5763Ай бұрын
Can you please provide a link for this particular data set please
@InsightsByRishАй бұрын
Hey, I've provided the GitHub repository link in description box. Dataset is available there.
@sarthakj52Ай бұрын
make one video with large end to project with deployment, hyperparameter tuning, ensemble learning, dimensionality reduction etc unique and advanced level also provide sourcecode(github)
@InsightsByRishАй бұрын
Will definitely make 👍🏻 But let me also inform you that I already have all this things made and uploaded in different parts on my channel.
@Luminouss12096Ай бұрын
from sklearn.linear_model import LinearRegression model = LinearRegression() model.fit(X_train, y_train) mam this part of code show error how can i solve this
@InsightsByRishАй бұрын
What's the error?
@Luminouss12096Ай бұрын
@@InsightsByRish model.fit(X_train, y_train) Input X contains NaN. LinearRegression does not accept missing values encoded as NaN natively. For supervised learning, you might want to consider sklearn.ensemble.HistGradientBoostingClassifier and Regressor which accept missing values encoded as NaNs natively. Alternatively, it is possible to preprocess the data, for instance by using an imputer transformer in a pipeline or drop samples with missing values.
@InsightsByRishАй бұрын
@@Luminouss12096 I think your input data frame (X) still consist of missing values. Try removing that before building the model. If you still encounter the error then mail your .ipynb file on [email protected].
@manasmandal1745Ай бұрын
Ma'am please share the source code also 🙏🙏🙏
@InsightsByRishАй бұрын
Hey, I've provided the link of Github repository for the code in the description box.
@manasmandal1745Ай бұрын
Thank you ma'am thanks a lot 🙏
@AkhileshMaurya-nm8jrАй бұрын
Mam I need machine learning parts.can you create video parts 2
@InsightsByRishАй бұрын
I have the code for that. I can mail you that if you want.
@vikashsingh6888Ай бұрын
It shows an error when I select_datatype('object') and when I change it to int then my column size changes please help 🙏 At line 27
@InsightsByRishАй бұрын
It's not select_datatype('object'). It is select_dtypes('object').
@vikashsingh6888Ай бұрын
Yes I tried this one also but it's showing issue... While I run the encoder it shows an error that you have to select int or str
@vikashsingh6888Ай бұрын
I tried it also but it's showing error while I run the encoder part its showing an error that you should select int or str in encoder.fit(df[cat_col]) @@InsightsByRish
@InsightsByRishАй бұрын
@@vikashsingh6888 Hey, not really able to understand what's going wrong with your code, but I would suggest that restart your kernel and again implement the code from beginning line by line as it is (I've provided the code on GitHub).
@vikashsingh6888Ай бұрын
If you will provide your insta or something for contact even email I will send you the ss .. if you can it will help me 🙏
@ashpritmehra8174Ай бұрын
hi thanks for this, what is the best way to learn DL quickly for classification like this?
@InsightsByRishАй бұрын
Welcome 😊. If your theoretical concepts are clear then I would say the best way is to watch a lot of implementation videos where every person explains with different methods. At the end of the day you at least get the core gist of things altogether.
@AkhileshMaurya-nm8jrАй бұрын
Mam I need market segment analysis project
@InsightsByRishАй бұрын
Ok, will make and upload somewhere around coming Tuesday.