Again, special thanks to Darwin for submitting his gitub profile! If you would like to have your projects, resumes, portfolios, or linkedin reviewed for a video, please comment below and send me an email at kenjee.ds@gmail.com! Discord for #66DaysOfData discord.gg/VXSUJYJ
Before this video, I thought creating more and more repos would actually be a great show off in front of employers, but now I think that I really have to work on my GitHub and organize it. Thanks for this video brother.
@@KenJee_ds Thanks for replying brother, once I organize my Github and create some review worthy projects, I will send you my GitHub profile for reviewing. BTW learning a lot by binge watching your channel.
Thanks Ken for another great video! I agree with you Ken, Darwin's GitHub is very well structured folder-wise, content-wise and format-wise. The plots are visually appealing. The drop-down button is also an awesome feature, I also haven't used that yet 😃
Responding to questions from the comments at the end of the video definitely sounds like a good idea to me, thanks for the great videos, really useful content!
Wow, I actually haven't seen this one repo - multiple projects folders approach so far; that's a pretty neat idea! Also it would be great if you answer comments at the end of the video, given that there are relevant questions of course. I think that would put even more information into your already very informative videos! Speaking of questions: Here's one: So I watched your Udemy course and how you talked about reaching out to recruiters or just in general experienced people and how you should try to schedule a call within a specific timeframe. You also said it's always a good idea to try and give "something back", so to offer to the other person some sort of help. My question would be, what type of help can someone offer, when they are a student or just in general less experienced? Oh and I'm excited for the 66 days of data science! :) Personally I'll probably go for 66 days of machine learning engineering haha
I plan to integrate comments on all the project reviews going forward! For you question, as a student, you can always offer time, data collection, to pay for coffee (post covid), etc. I always tried to provide information to people or connect them with others who would be helpful for their careers. I'm excited for 66daysofdata as well! Totally fine if you do MLE for it haha!
I agree, this is a very neat and tidy repo, very compact and well documented. Only critism I have is that when I comes to using github in the real world the developer/data scientist will need a good understanding of working with development, staging and production branches which is not demonstrated here. In addition, when it comes to deploying models through cloud services such as aws it is more secure to have everything in its own repo
hey ken quick question. When describing ones skills with ML on the resume, is it better to name specific models, or more general techniques? i.e Skills: Machine Learning (linear regression, svm, PCA, etc...) vs. Skills: Machine Learning (Regression, Classification, Dimensionality Reduction etc..). Thanks for all the videos you put out, and thanks for reading!
I think both are fine. On my resume I use the former approach (listing the algorithms I've used in practice). I have them organized into regression, classification, etc.
I feel that incorporating good questions into videos would be good. That way people dont ask the same question over and over again. Also good questions wont get lost as videos get older.
Hello Ken! I want to thank you for all the great videos you provide that really help us, the ones that are interested in entering the field of data science. I saw a video of yours where you suggested that for landing a job in the field it's good to have like 4 projects: using regression, classification, clustering, and DL or NLP. My question is after I saw the great work Darwin did, is it enough to just focus on like 2 projects or 1 that are/is in our field of interest is? That maybe the number of projects doesn't matter but the quality and the way you present them do? Thank you!
Hi Laura - I think that your profile should showcase that you have familiarity with the data science skill-set (4 types of problems). You can do all 4 of these in one analysis, in theory. Still, Darwin does have 4 projects (I just didn't show them all), plus his research experience and has tableau work. I don't think there is a hard and fast rule about the quantity of work, as long as you show that you are active on the platform.
@@KenJee_ds Thank you Ken for your answer! I really appreciate it! I am now doing the Kaggle courses and beginners' projects like iris and titanic. I also have research experience, I finished my Phd last year, but in accounting - auditing. This answer gives me an idea of how I need to prepare my profile.
Hi ken, do you think a github portfolio is better than a personal website that contains all your information and projects ? Or should I do both. Thank you
There are actually 4 clocks, one is just out of the frame haha. I have clients (and a team) in many different time zones, so I use them so I don't miss my meetings!
Hey Ken, I have been working as a Mainframe developer with 3+ years experience. I have been quite well with Python as well. Right now, I have enrolled myself in a DataScience MS course and trying to build my github and kaggle profile. I have made an account in Medium and started blogging as well. But I have never made a website(except using blogger and wordpress). Just wanted to know about your thoughts on having a personal website. Thanks :)
I think these are all awesome steps! I think having a personal website is a really solid step. I have actually done a few examples of how to do this on my channel. It is probably easier than you think! ua-cam.com/play/PL2zq7klxX5AQ3Dkl7113VO9t1rm3e4FLA.html
Thanks@@KenJee_ds . The videos will really helpful. I am building my profile gradually as a DataScientist. On top of that I am trying to build a python tutorial on my github as well. Giving myself a year's time to gradually build my profile as a DataScientist and then move to Deep learning. Will keep you posted either on email or linked or UA-cam comments while achieving each milestone at a time. Thanks for all the motivation. Cheers :)
I know this is a late reply to this video post. My aim for 2021 is also to build a strong GitHub profile and this video is a starter. Loved Darwin's GitHub profile. Ken, can you please post his GitHub profile link as well, I couldn't find him.
Hi ken, after creating a project, how do we put that on our resume? Do we just add the link or put a section for projects and just summarize the project on the resume?
It really depends on the role. Some roles use each of those tools quite a bit, others don't use them at all. Overall you could probably land a job without knowledge of either, but I would recommend at least getting familiar with tensorflow or pytorch
Hey Ken, I've a question. Since I saw your video where you built a project from scratch and I discovered pd.apply(), I feel that I've been abusing it. I've read more about the function and sometimes another implementations are faster. When do you decided to not use pd.apply() and use other methods?
I usually abuse apply when I am doing eda, but if I have to make a pipeline and put something into production, I don't use it at all. I think that is where you should draw the line.
@@KenJee_ds In fact, I was going to write this to you for a long time on Twitter, but you did not come back :)) I stayed somewhere and I do not know what to do. I generally know enough python that will work for me, I also have an entry level knowledge of data science ideas and algorithms, but I do not know what questions we should ask how to do EDA. I know that visualization is very important, but I am lacking in this and I don't know from which source to work. So overall I want to move up to the next level and I'm really drowning in resources, I was surprised where to continue.
@@gauss_markov I would really focus on reviewing other people's notebooks on kaggle. I think you are at the stage where following along and seeing how other people approach the problem will be most beneficial! The more you see how other people go about these things the quicker you will develop intuition around what to do.
Congratulations to Darwin,very good portfolio! I also browsed it and got very surprised : github.com/darwin-a .It's good to know that he got his first job in DS 3 months ago. My portfolio is also a bit different, because I recorded some videos of the last 4 projects.
Namasthe Ken Jee. This is Shiva from India. I'm a mechanical Engineering graduate from Lovely professional University with a 6.5 CGPA grade. I'm currently learning IBM Data science Professional certificate and planning to start Python 3 programming from Univ. Of Michigan ( both on Coursera). MY GOAL: By the end of Jan 2021, I should be working as a Data scientist. I want to celebrate my birthday (23/02/2021) as a data scientist! 🔥 Would you please guide me through this journey?
That is an awesome goal Shiva! I can't individually guide you (Quite busy these days), but I am happy to answer your questions via comments, or review your projects / resumes like in this series! I would love to do more guiding, but unfortunately, I have many time constraints these days.
@@KenJee_ds Thanks for response Ken. Could you please share your views on IBM Data science professional certificate course? Will It be possible to land a job with that course? We would like to see courses that you recommend for beginners like me that are likely to get us a job. Awaiting your response. 🙏🏼❤️
Again, special thanks to Darwin for submitting his gitub profile! If you would like to have your projects, resumes, portfolios, or linkedin reviewed for a video, please comment below and send me an email at kenjee.ds@gmail.com!
Discord for #66DaysOfData discord.gg/VXSUJYJ
Before this video, I thought creating more and more repos would actually be a great show off in front of employers, but now I think that I really have to work on my GitHub and organize it. Thanks for this video brother.
Thanks for watching Animesh! I think organization is really important!
@@KenJee_ds Thanks for replying brother, once I organize my Github and create some review worthy projects, I will send you my GitHub profile for reviewing. BTW learning a lot by binge watching your channel.
@@animeshsharma7332 haha awesome! Looking forward to you sending it in!
Thanks Ken for another great video! I agree with you Ken, Darwin's GitHub is very well structured folder-wise, content-wise and format-wise. The plots are visually appealing. The drop-down button is also an awesome feature, I also haven't used that yet 😃
Thanks data prof! I'm also crazy about the drop down haha. Sometimes it's the little things I guess
That's the best way to respond to our questions, please!
💪
Responding to questions from the comments at the end of the video definitely sounds like a good idea to me, thanks for the great videos, really useful content!
Thanks for the feedback! Will start this in the project review monday!
I like the Tren Black mention he is one of my favorite tech UA-camrs. Probably because he reminds me of myself so much.
Love this approach in reviewing, very honest and straightforward
Thanks Data Leap!
Responding to good questions at the end is great for everyone who can learn from the questions they didn’t even think of.
Awesome!
I think that would be a good idea. I asked a q on your last video so I'm excited to connect!
Will do!
Wow, I actually haven't seen this one repo - multiple projects folders approach so far; that's a pretty neat idea!
Also it would be great if you answer comments at the end of the video, given that there are relevant questions of course. I think that would put even more information into your already very informative videos!
Speaking of questions: Here's one:
So I watched your Udemy course and how you talked about reaching out to recruiters or just in general experienced people and how you should try to schedule a call within a specific timeframe. You also said it's always a good idea to try and give "something back", so to offer to the other person some sort of help. My question would be, what type of help can someone offer, when they are a student or just in general less experienced?
Oh and I'm excited for the 66 days of data science! :)
Personally I'll probably go for 66 days of machine learning engineering haha
I plan to integrate comments on all the project reviews going forward! For you question, as a student, you can always offer time, data collection, to pay for coffee (post covid), etc. I always tried to provide information to people or connect them with others who would be helpful for their careers.
I'm excited for 66daysofdata as well! Totally fine if you do MLE for it haha!
Thank your for your answer Ken! The key probably is to just try instead of thinking about a "perfect" aproach and never reaching out.
I agree, this is a very neat and tidy repo, very compact and well documented. Only critism I have is that when I comes to using github in the real world the developer/data scientist will need a good understanding of working with development, staging and production branches which is not demonstrated here. In addition, when it comes to deploying models through cloud services such as aws it is more secure to have everything in its own repo
Yep, nailed it!
Agree this is such a cool profile
hey ken quick question. When describing ones skills with ML on the resume, is it better to name specific models, or more general techniques? i.e Skills: Machine Learning (linear regression, svm, PCA, etc...) vs. Skills: Machine Learning (Regression, Classification, Dimensionality Reduction etc..). Thanks for all the videos you put out, and thanks for reading!
I think both are fine. On my resume I use the former approach (listing the algorithms I've used in practice). I have them organized into regression, classification, etc.
Thanks Ken!
Haha, thank you for watching!
I feel that incorporating good questions into videos would be good. That way people dont ask the same question over and over again. Also good questions wont get lost as videos get older.
Will definitely do this!
Hello Ken! I want to thank you for all the great videos you provide that really help us, the ones that are interested in entering the field of data science. I saw a video of yours where you suggested that for landing a job in the field it's good to have like 4 projects: using regression, classification, clustering, and DL or NLP. My question is after I saw the great work Darwin did, is it enough to just focus on like 2 projects or 1 that are/is in our field of interest is? That maybe the number of projects doesn't matter but the quality and the way you present them do?
Thank you!
Hi Laura - I think that your profile should showcase that you have familiarity with the data science skill-set (4 types of problems). You can do all 4 of these in one analysis, in theory. Still, Darwin does have 4 projects (I just didn't show them all), plus his research experience and has tableau work. I don't think there is a hard and fast rule about the quantity of work, as long as you show that you are active on the platform.
@@KenJee_ds Thank you Ken for your answer! I really appreciate it! I am now doing the Kaggle courses and beginners' projects like iris and titanic. I also have research experience, I finished my Phd last year, but in accounting - auditing. This answer gives me an idea of how I need to prepare my profile.
Wow ... Great GitHub profile , motivating to create such one 😄
I know, right!
Hi ken, do you think a github portfolio is better than a personal website that contains all your information and projects ? Or should I do both. Thank you
I think you should have both! Having a github shows you can use github, which is pretty important for most companies.
Go ahead with responding comments 💯👍
I try!
Take one question and a 2-5 minute segment on it would be cool at the end of the video. Even throw in an example. Cheers!
I like that! I will probably limit it to 1-2 detailed answers!
I know it's outdoor but three clocks on the wall !!!
It's a productivity matter or it's just a decor ...
There are actually 4 clocks, one is just out of the frame haha. I have clients (and a team) in many different time zones, so I use them so I don't miss my meetings!
Hey Ken,
I have been working as a Mainframe developer with 3+ years experience. I have been quite well with Python as well. Right now, I have enrolled myself in a DataScience MS course and trying to build my github and kaggle profile. I have made an account in Medium and started blogging as well. But I have never made a website(except using blogger and wordpress). Just wanted to know about your thoughts on having a personal website.
Thanks :)
I think these are all awesome steps! I think having a personal website is a really solid step. I have actually done a few examples of how to do this on my channel. It is probably easier than you think! ua-cam.com/play/PL2zq7klxX5AQ3Dkl7113VO9t1rm3e4FLA.html
Thanks@@KenJee_ds . The videos will really helpful. I am building my profile gradually as a DataScientist. On top of that I am trying to build a python tutorial on my github as well. Giving myself a year's time to gradually build my profile as a DataScientist and then move to Deep learning. Will keep you posted either on email or linked or UA-cam comments while achieving each milestone at a time. Thanks for all the motivation. Cheers :)
I know this is a late reply to this video post. My aim for 2021 is also to build a strong GitHub profile and this video is a starter. Loved Darwin's GitHub profile. Ken, can you please post his GitHub profile link as well, I couldn't find him.
Awesome! That is a really great goal! github.com/darwin-a
@@KenJee_ds Thanks Ken :)
This series is going great😁
Glad you like it!
Hi ken, after creating a project, how do we put that on our resume? Do we just add the link or put a section for projects and just summarize the project on the resume?
I recommend a section on your resume. You want to make sure you talk about the outcome of the project rather than just the methods used too!
Hi ken jee thanks for the video
Just a quick question how much tensorflow and tableau needed for a data science job?
It really depends on the role. Some roles use each of those tools quite a bit, others don't use them at all. Overall you could probably land a job without knowledge of either, but I would recommend at least getting familiar with tensorflow or pytorch
@@KenJee_ds thank you so much
Hey Ken, I've a question. Since I saw your video where you built a project from scratch and I discovered pd.apply(), I feel that I've been abusing it. I've read more about the function and sometimes another implementations are faster. When do you decided to not use pd.apply() and use other methods?
I usually abuse apply when I am doing eda, but if I have to make a pipeline and put something into production, I don't use it at all. I think that is where you should draw the line.
@@KenJee_ds Thanks, that makes sense. Guess I'll avoid abusing it while building my portfolio.
Hi Ken what would you suggest for variable engineering, EDA and data visualization? Welding etc.
Can you specify a bit more? I think you can find good examples of this by looking at other people's projects on kaggle though.
@@KenJee_ds In fact, I was going to write this to you for a long time on Twitter, but you did not come back :)) I stayed somewhere and I do not know what to do. I generally know enough python that will work for me, I also have an entry level knowledge of data science ideas and algorithms, but I do not know what questions we should ask how to do EDA. I know that visualization is very important, but I am lacking in this and I don't know from which source to work. So overall I want to move up to the next level and I'm really drowning in resources, I was surprised where to continue.
@@gauss_markov I would really focus on reviewing other people's notebooks on kaggle. I think you are at the stage where following along and seeing how other people approach the problem will be most beneficial! The more you see how other people go about these things the quicker you will develop intuition around what to do.
Congratulations to Darwin,very good portfolio! I also browsed it and got very surprised : github.com/darwin-a .It's good to know that he got his first job in DS 3 months ago. My portfolio is also a bit different, because I recorded some videos of the last 4 projects.
💪
Thanks bro! Do you have a goodreads profile?
I don't, but I may make one!
Very interesting.
🕶
Thanks bro!
💪
I know I’m 3 months late but I think it would be cool to answer comments but only good questions 😁 choose wisely
Haha unfortunately I stopped this series! Hoping to do more AMA's to make up for it!
Namasthe Ken Jee. This is Shiva from India. I'm a mechanical Engineering graduate from Lovely professional University with a 6.5 CGPA grade.
I'm currently learning IBM Data science Professional certificate and planning to start Python 3 programming from Univ. Of Michigan ( both on Coursera).
MY GOAL: By the end of Jan 2021, I should be working as a Data scientist. I want to celebrate my birthday (23/02/2021) as a data scientist! 🔥
Would you please guide me through this journey?
That is an awesome goal Shiva! I can't individually guide you (Quite busy these days), but I am happy to answer your questions via comments, or review your projects / resumes like in this series! I would love to do more guiding, but unfortunately, I have many time constraints these days.
@@KenJee_ds Thanks for response Ken.
Could you please share your views on IBM Data science professional certificate course? Will It be possible to land a job with that course?
We would like to see courses that you recommend for beginners like me that are likely to get us a job.
Awaiting your response. 🙏🏼❤️
Your clocks are painfully out of sync in the minute hand
Sad but true haha
Is it just me but i am seeing a lot of Indians Here.😁😄
Not just you haha
Dude, next time you do this, please just stop going up and down the page. It gave me nausea :(
Sorry! Hopefully I improved in my more recent content!
@@KenJee_ds it's just like what I would do but it wasn't me!
@@hiroxh6366 hahaha