Data Science Portfolio Tips | Discussion with Ken Jee, Krish Naik, Codebasics and Data Professor

[@yousefals462]

You guys are the fantastic 4 of KZbin Data science! Inspired me to start creating a web app in Shiny for ecommerce customer segmentation. let's see how it goes - will update when completed

[@DataProfessor]

Great job! Thanks for the support 😀

[@fahadreda3060]

You guys are the Data science Avengers :) , please do more of these videos , Learned a lot from all of you , Good Luck

[@DataProfessor]

Thanks Fahad for the kind words, more on the way 😃

[@aliyanpops6424]

LEGENDS. TEACHERS.

[@banekroft6408]

This is the kind of video I open to have as a background but ends up becoming my foreground. Very informational and thought-provoking.

[@DataProfessor]

Wow, very glad that you’ve found it useful 😃

[@donovangumbo388]

This is really good to see you guys working together!

[@DataProfessor]

Yes, it was certainly a fun discussion

[@Nedwin]

All of you are legends!! Nice sharing and discussion. Thanks for conducting this. Appreciate it a lot!

[@DataProfessor]

Glad you enjoyed it! Thanks Nedwin!

[@ifeoluwadaranijo6926]

Very nice talk. I am a data engineer, I will be glad if I can get an idea on a project to work on and add to my resume.

[@DataProfessor]

Hi Daranijo thanks for the kind comment. Please see 38:43 "Where do you go for data?" for ideas on data projects to work on.

[@williantoasalim1152]

Great to see so many perspective in this video!

[@DataProfessor]

Glad you’ve found it helpful 😄

[@sunilsharanappa7721]

You guys are amazing . Please keep up the good work and keep motivating everyone who are interested in Data science.

[@DataProfessor]

Thank you for the kind words😃

[@kirandeepmarala5541]

Waiting for this Professor..Thanks for the series Guys

[@DataProfessor]

Thank you Kirandeep!

[@gouravtaurus2928]

Thanks Guys, Learning a lot from you guys. You guys are gold mines in the field of Data Science.

[@DataProfessor]

Glad you’ve found it helpful 😃

[@af121x]

Thank you, Professor. I learned some real things from you guys.

[@DataProfessor]

Thank you Abrar for the kind comment

[@DatascienceConcepts]

Great conversation! Good Insights everyone!!

[@DataProfessor]

Thank you Dr. Uzma for the kind words 😃

[@ramon421]

Thanks for your videos, needed them to start practicing again!

[@DataProfessor]

A pleasure, thanks for sharing your data science learning journey!

[@ranasagar699]

Again waiting azaming ...but previous webinar was so incredible

[@DataProfessor]

Wonderful, see you in the webinar

[@ranasagar699]

@@DataProfessor yup 🤩 I ll also .but I just wanted to know that after machine learning what should I have learn ?🙄 Could you help me

[@DataProfessor]

@@ranasagar699 You want to master Exploratory Data Analysis as well as it can help to plan your project and give essential preliminary insights. After ML would be to deploy the model. Check out streamlit, I've made a couple of videos about it here bit.ly/dataprofessor-streamlit

[@kevinkumar7840]

Hi Data Professor, can you explain more about the box plot and scatter plot that you mentioned after doing the feature importance? Any resources to understand more about it?

[@DataProfessor]

Please see this research paper from our research group for example of box plot in explaining more details on important descriptors suggested by feature importance plot from random forest model. pubs.rsc.org/en/content/articlelanding/2018/ra/c7ra12079f#!divAbstract

[@rahulkadam3305]

How much data structure and algorithm data scientist or ML/DL developer need to know?

[@patelajay1010]

I have one question. Please help me in this situation. My task is, preventing maintenance of a pump. I have done some research but still I am confused, do I need to use machine learning regression or classification model? Also, I want to know that if I have RMS value around 0.0010 both in training and validation, will it be over fitting? Thank you very much in advance...

[@DataProfessor]

The value of RMSE varies with the units of the data in a given dataset. A quick check for overfitting is to see whether your training and validation sets performs at a similar level of performance. It is normal for training to perform better than the validation. But if the performance of both sets differs too much then you can suspect overfitting.

[@patelajay1010]

@@DataProfessor ok sir and what about my first question. Regression or classification?

[@DataProfessor]

@@patelajay1010 The choice of whether to use regression or classification depends on the target Y variable, is it quantitative (regression) or qualitative (classification)

[@k_stss9]

Thanks! Is R still relevant for data science field or I have to prefer Python after some time to have better job opportunities?

[@DataProfessor]

R is still relevant but may be less popular than Python which is more mainstream and has broader utility. For example, strength of R is its statistics functionality and libraries for various domains (biology, chemistry, sports, etc) that may not me available in Python. I made a video about this topic kzbin.info/www/bejne/sKrLY3uLZsqZpZY

[@ramthiagu2330]

all 4 giants are here , wow

[@DataProfessor]

Hehe, thanks for watching!

[@deepikafalcon8992]

This is awesome

[@DataProfessor]

Thanks for watching Deepika 😃

[@adeelahmad-qk7rv]

There is any virtual internship for machine learning or deeplarning ?

[@DataProfessor]

For now there is GE and Quantium that are Data Analytics the other contain data related modules.

[@saisudha1962]

Waiting for your words dear professor

[@DataProfessor]

No opportunity as of yet but will update if there is an opportunity

[@saisudha1962]

Thank you sir

[@DataProfessor]

@@saisudha1962 You're welcome!

[@nibinjoseph2136]

Codebasics is always seen smiling.. how do you manage that bro?? 😄

[@codebasics]

ha ha :) I try my best. Actually my natural expression are very neutral or almost sad but I have been working on improving that and looks like I am getting some success already :)

[@nibinjoseph2136]

@@codebasics 😄😄😄😄😄

[@dhirajp4677]

Data Avengers..

[@DataProfessor]

Haha, thanks

[@saisudha1962]

Please share any Bioinformatics related internships prof.

[@DataProfessor]

Definitely will if there is an opportunity 😃

[@simonbernard4216]

East & south Asians killing the tech game as usual

[@patrickbateman7665]

I want @daniel_bourke to be in here 😁

[@DataProfessor]

That is a great idea!