Thanks Krish. This seems a really cool library for quick scan and overview of the data. Further, those facing problems in jupyter note book can get it sorted by running below commands : pip install lux-api (in Jupyter notebook) jupyter nbextension install --py luxwidget (in CLI or Terminal for MAC) jupyter nbextension enable --py luxwidget (in CLI or Terminal for MAC)
Hello Sir... I have a question on How to deal with Hierarchical text classification.. i have multiple dependent variables which are category 1, category2, subcategory 1, subcategory 2. And there is hierarchy involved for category and subcategory....
Well, This should not replace seaborn and Pandas plotting. Though this will definitely complement the existing viz libraries. Doing a quick overview in lux followed by deep drill down with seaborn and Pandas plotting wherever required. Would love to know views of the folks out there as well.
These two below commands are not runnig and giving error in jupyter notebook jupyter nbextension install --py luxwidget jupyter nbextension enable --py luxwidget
Hi sir I have a doubts plz rectify, I have a group of data like (data.text) that data in the form of unstructured formate and here main, I want specific names and related information in my data in NLP using python plz make a video on that
Sir, I have faced this ques in one analyst interview. Can you please make a vedio on it '' How to estimate the population of a city without any physical survey? ''
You can use information from alternative sources like google satellite images, government records like tax base, schools, ration card etc, past census records to estimate the population. I think something on these lines should be your answer. He was actually assessing your analytical skills and your ability to think about some significant and relevant features that can be used for estimation.
it's a lovely tool that makes the feature engineering easier and we can run the model in a very efficient way
Thanks Krish. This seems a really cool library for quick scan and overview of the data.
Further, those facing problems in jupyter note book can get it sorted by running below commands :
pip install lux-api (in Jupyter notebook)
jupyter nbextension install --py luxwidget (in CLI or Terminal for MAC)
jupyter nbextension enable --py luxwidget (in CLI or Terminal for MAC)
Thank you so much.
I tried it and it doesn't show the plots when I use the toggle switch.. Any workarounds that can help??
I think lux used backend side dash plotly and another things i hope there is correlation matrix like pandas profile report. thank you krish 👏👏
finished practicing but lux not working in colab
Do we have a Data Analyst course by INeuron ?
It's really amazing Krish.. Thanks for sharing this.
Hello Sir... I have a question on How to deal with Hierarchical text classification.. i have multiple dependent variables which are category 1, category2, subcategory 1, subcategory 2. And there is hierarchy involved for category and subcategory....
Hello Sir, Lux library is not working smoothly in jupyter notebook, Can you pls upload a video to how to work with lux library in jupyter?
It is very similar to pandas profiling, but gives more flexibility and filters to it. Thanks Krish sir.
Time series kind of data is required in linear regression and there is one thing is dependent to the second one..
Yes sir I too have seen in LinkedIn, some DS professional shared this
Steve Nouri
awesome vedio
very useful library, thanks for the vedio
Hello , I want to learn about jraph, there is any course available for it ,
I have work on it
its not working. nothing shows after clicking toggle button
it is not showing the visualization after clicking on the tab button
Great Library! Nice vid sir Krish 🤩
finished watching
From where you get such libraries?
Sir ,I wanna enroll into ML DL Master's course, just wanna know will I be able to solve kaggle problems and do open source after it?
@Krish Naik can we say that LUX is one of the AutoML technique?
Always krish sir you teach us new things 🙏
The linear regression model assumes its features to be normally distributed
In search of gold: lux
We lost diamond: seaborn
Well, This should not replace seaborn and Pandas plotting. Though this will definitely complement the existing viz libraries. Doing a quick overview in lux followed by deep drill down with seaborn and Pandas plotting wherever required. Would love to know views of the folks out there as well.
These all libraries never worked with large datasets. Idk why nobody tells this fact.
These two below commands are not runnig and giving error in jupyter notebook
jupyter nbextension install --py luxwidget
jupyter nbextension enable --py luxwidget
Sir how do you update yourself with library and technology ?
very nice library like pandas-profiling
Hello sir will you please discuss LSH
Thanks great library for data science and Analysis data
Hello sir in my note book it's not showing the button
WHY IT SHOW JAVA SCRIPT ERROR IN JUPYTER NOTEBOOK
Amazing update!
Hi sir I have a doubts plz rectify, I have a group of data like (data.text) that data in the form of unstructured formate and here main, I want specific names and related information in my data in NLP using python plz make a video on that
You can solve this by creating doc object of your text and using parts of speech pos attribute
Sir, I have faced this ques in one analyst interview. Can you please make a vedio on it
'' How to estimate the population of a city without any physical survey? ''
You can use information from alternative sources like google satellite images, government records like tax base, schools, ration card etc, past census records to estimate the population. I think something on these lines should be your answer.
He was actually assessing your analytical skills and your ability to think about some significant and relevant features that can be used for estimation.
Based on sample, do some hypothesis testing.
if data is distributed as normal /standardized data its good for Linear Regression I am new learner if I am wrong correct me sir
Hi Krish... Hope you doing good..!!
Are you planning a session on LUX some day... Kindly notify us... It will be a good learning for all of us...!!
sir kindly tell about microsoft lobe
i can't see lux toggle, any can help me? thanks
Execute below commands -
pip install lux-api
jupyter nbextension install --py luxwidget
jupyter nbextension enable --py luxwidget
Lets hope a like from my mebtor Krish Naik
It should follow normal distribution curvw
Great library
normal distribution
Guassian dist.
Ayush, could you state, why gaussian?
Please sir
cool
Data should br normally distributed for linear regression