Reviewing Your Data Science Projects - Episode 17 (Best Portfolio Website Yet?)

[@KenJee_ds]

Special thanks again to Alexander! Again, if you would like your projects, resume's, or portfolio reviewed, please comment below and email me at [e-mail]! My Resume Review: kzbin.info/www/bejne/oqS7iImGr9yNhs0 Alexander's Website: alexander-kahanek.github.io/ Tina's Channel: kzbin.info/door/2UXDak6o7rBm23k3Vv5dww Danny's Channel: kzbin.info/door/GYPQz_qySbPESTK8k2ky5g

[@DataProfessor]

Congrats Ken on the 80k! Alexander's portfolio website looks really nice and clean. The Trivago project looks amazing. It is very nicely structured and goes into great depth into the underlying math as well as summarizing the key findings in several data visualization plots. It almost looks like a research paper, perhaps it would be nice to format it as a research paper (Key sections: Abstract, Introduction, Materials & Methods, Results & Discussion, Conclusion, Acknowledgements, References) and upload to arXiv.org as a preprint, might even look good in the resume also 😃

[@KenJee_ds]

Thanks Data Prof!! Alexander did a really great job here. Great tip on him uploading to arxiv.org!

[@Alex-fw9oq]

Thank you very much! I don't think I will turn this project into that format, but I have actually been doing ML / NLP research with my university and have recently written a research paper on data augmentation for deep learning with low-resource languages! I have not heard of that website before though, so thank you very much for that reference! Love your channel and work by the way!

[@DataProfessor]

@@Alex-fw9oq Awesome, really nice to hear that you have done some ML/NLP research and have published your work 👍

[@DataProfessor]

@@KenJee_ds 😆

[@larigiba]

Wow, he really does have a very impressive resume! The level of detail he put into his projects is just insane, especially for someone who even has a different background! I think it would be great to see Tina and Danny review projects as well, that would probably give them more attention on this platform as well! ;)

[@KenJee_ds]

Thanks Boris! He really did some impressive work here!

[@LokeshKumar-dd2qw]

Good work, this reviewing projects series is really helpful.

[@KenJee_ds]

Glad to hear! Thanks for watching Lokesh!

[@Algovibes]

Very nice! Employers will line up from now on ;-) Good luck Alexander!

[@KenJee_ds]

I hope so! He has done some really cool work. Thanks for watching!!

[@Alex-fw9oq]

One can only hope! Thank you very much!

[@Mario-ox5dm]

Almost time for me to submit mine! Amazing portfolio and great review Ken!

[@KenJee_ds]

Would love to see it Mario! Thanks for watching!

[@thinamG]

Amazing portfolio, Great review, Ken

[@KenJee_ds]

Thanks for watching as usual Thinam!

[@flawedlogic342]

Hey Ken, I was not sure if you saw the response I made on your scraping glassdoor video. But here is the code that scrapes the titles of glass door. The main advantages are that it is more efficient(code wise) and it is much faster then selenium. I also did this in beautiful soup which Is not a super scalable library, but it illustrates the power of scraping tools. If you want to scale on a larger level, I recommend learning scrapy. Additionally, there is also a tool available that lets you select the exact css element of a web-page I will re-link it again. Anyways, here is the code that scrapes the job titles for glassdoor. from bs4 import BeautifulSoup from urllib.request import urlopen,Request import pandas as pd import random import pickle headers = {"User-Agent": "Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2228.0 Safari/537.3"} website = "www.glassdoor.com/Job/data-scientist-jobs-SRCH_KO0,14.htm" for i in range(1): req = Request(website, headers=headers) page = urlopen(req) soup = BeautifulSoup(page, 'html.parser') for item in soup.select(".jobLink span"): print(item.get_text()) Lastly, you may be wondering how to go to different pages with the code and how you can scrape elements that are not on the front page of the website. Well to answer the former, you would implement a technique called pagination (I will link an article for this) and for the latter, you would scrape each link on the website and iterate through each page collecting all the elements contained on each page.

[@KenJee_ds]

Thanks for sharing!

[@flawedlogic342]

CSS Selecting Tool: chrome.google.com/webstore/detail/selectorgadget/mhjhnkcfbdhnjickkkdbjoemdmbfginb?hl=en-US A pretty ghetto stack overflow link. I can probably write you a better explanation of this easy topic Pagination: stackoverflow.com/questions/17777845/python-requests-arguments-dealing-with-api-pagination Scrapy: kzbin.info/www/bejne/rJbCYZtqjp2hq6s

[@RougeSam]

I’ve been meaning to send you mine but I’m terrified of being roasted publicly

[@KenJee_ds]

Don't be nervous about that haha! I don't think I've been too rough on anyone. This is hopefully just a learning process, and the more public spotlight helps to hold everyone accountable!

[@spazhatter]

Thank you Ken for the detailed overview! I was wondering how Alexander embedded his project into the webpage? I saw your video on creating a Github Pages portfolio (led by Chanin the Data Professor) and I thought the way he integrated his project there is quite cool.

[@KenJee_ds]

Thanks for watching! I'm not actually sure how he did that haha

[@akshaymadan9593]

Thank you Ken, This was really helpful :)

[@KenJee_ds]

Thanks for watching!!

[@nothing8919]

Thank you ken jee, I'm learning data science, your video inspired me, maybe i will make a blog to share my learning progress, difficulties because I am a beginner...etc.

[@KenJee_ds]

Glad this helped inspire! I think a blog is a great idea!

[@simranthiara8233]

Is LaTex commonly used to write up a data science paper? If not, what software do practicing data scientists use? MS Word?

[@KenJee_ds]

Good question. I don't do much paper writing, so I may not be the best person to ask for this haha

[@chriscarbajal9688]

Do you have a video on where to start on your data science journey. I have less than one year to graduate from university and I’m majoring in data analytics. My university just recently made the data science major so I wasn’t able to declare it. I may just be overwhelmed... any help is appreciated!

[@KenJee_ds]

I got just the thing! kzbin.info/www/bejne/d6KzoqilnK2qp5I

[@theoutlet9300]

i feel bad about my projects now. this is amazing

[@KenJee_ds]

Don't feel bad! I share these so that others can be inspired!

[@theoutlet9300]

@@KenJee_ds definitely inspiring. Will take me a while to get here but atleast i know what to do

[@raeroxx1270]

I learned python during the quarantine. I also want to make projects that got me into the data science field though I'm not familiar with ml concepts, I'm learning them. I want some project ideas that I could add to my resume. Right now I'm doing some beginners level project like Titanic survival and wine quality one. But I want projects that could get me jobs. Any idea where I can search for them?

[@KenJee_ds]

There are two main ways to develop project ideas. 1) Find a problem you are interested in solving based on your interest and go out and get the data or 2) Go on kaggle.com and browse datasets till you see something that you would like to explore further. That is generally how I would recommend approaching it!

[@bina_two]

Both review options sound good.

[@KenJee_ds]

Thanks!

[@mohammedkayser]

I want this website layout to make my data science portfolio How can I?

[@shlogoff]

Hi Ken, Is freelancing a viable option for a data science career? Or do you have to stick with one company?

[@KenJee_ds]

Freelancing is definitely viable! You do have to make your own sales though, which can be hard for some people.

[@shlogoff]

@@KenJee_ds thanks!

[@juanitosongs2389]

Which is better internships or work as a freelancer ?

[@KenJee_ds]

I would look at these things equally. However, an internship is more likely to lead to a job with the company you interned with!

[@bluesdog88]

Is Alexander picking his nose in his profile picture? lol

[@KenJee_ds]

Virtually certain that is in fact his dog licking his nose

[@erasmoneto4073]

Why people dislike this? wtf

[@KenJee_ds]

It's ok! It all counts as video engagement anyway haha. Maybe they don't like my face 😂