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101217: ML MOOC

so i’ve been away for awhile - been busy with the first three weeks of GA (already 2 projects submitted!) and keeping my social life alive (it is possible, yes).

so far it’s been good and plenty of learning (not just from the teacher but also fellow classmates!), but i do look forward to the machine learning bits!!

exciting stuff.

i went to google how to access free machine learning courses (because for the death of me i couldnt figure out how to get to the free coursera bits) and this seemed pretty good: https://medium.freecodecamp.org/every-single-machine-learning-course-on-the-internet-ranked-by-your-reviews-3c4a7b8026c0

just viewed the intro video of this, and i am hooked!! try it

https://www.class-central.com/mooc/398/coursera-neural-networks-for-machine-learning

update: NOT FOR THE FAINT HEARTED - or, uninitialised. i am halfway through lecture and and already am thanking the gods i had i tiny bit of exposure to sigmoid functions in the previous udemy course...

#machine learning #mooc #coursera #general assembly #python

141117: the official pandas cheatsheet

https://github.com/pandas-dev/pandas/blob/master/doc/cheatsheet/Pandas_Cheat_Sheet.pdf

taking things to the next level!!!

#pandas #cheatsheet #python #github

081117: resources

amazing resource here - not just on how to program, but how to program well.

https://www.youtube.com/watch?v=o4SGkB_8fFs&t=2746s

CS50 Harvard Lecture (2016)

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for deep learning without a PhD

https://www.youtube.com/watch?v=vq2nnJ4g6N0&feature=youtu.be

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also, courses on edx

https://www.edx.org/course

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courses on coursera

https://www.coursera.org/courses?cats=stats&languages=en&lngs=en&orderby=upcoming

#cs50 #harvard #edx #coursera

081117: bash and reality

https://learncodethehardway.org/unix/bash_cheat_sheet.pdf

sometime in life you realise you need to know bash... just kidding lol

i think the above cheatsheet is fairly helpful for people who already have had some experience with bash.

for complete beginners, the below video from TechLadies is quite helpful!

https://engineers.sg/video/techladies-pre-bootcamp-workshop-2-fundamentals-of-the-ruby-programming-language–1781

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this is quite an interesting resource with a lot of helpful links

https://www.techinasia.com/talk/5-month-guide-learn-code-get-hired

i should do a page like that sometime!

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https://www.reddit.com/r/MachineLearning/comments/3xfxy5/machine_learning_engineer_vs_data_scientist/

this i found insightful on what you actually do in a job

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this, i found interesting as to what companies really use

https://hackernoon.com/spotifys-discover-weekly-how-machine-learning-finds-your-new-music-19a41ab76efe

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i think its really important to explore. like different languages, different areas, see the big picture.

#bash #techladies #spotify #machine learning #reddit #data scientist

for the sake of contrast (because i realised the links only show the most updated version lol) - the first is my original (unbearable to look at, almost!), then in came bootstrap, and THEN even more customisation ;) THE MAGIC OF BOOTSTRAP - all hail bootstrap!!

disclaimer once again - this is anonymous data.

#bootstrap #web development

bootstrap

its just been crazy how much has changed in the past two days, with the help of my trusty personal python teacher (aka my boyfriend lol)

https://langur.herokuapp.com/langur/

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for all aspiring new website creators, i have to recommend this - bootstrap.

use the example below, use the starter template.

http://getbootstrap.com/docs/4.0/examples/

this is the critical page that will help you get through stuff simply.

http://getbootstrap.com/docs/4.0/getting-started/introduction/

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two days ago if you had told me my website would look like this, i’d be like ‘i don’t think this will happen in the next week?’

one month ago if you had told me this, i’d be like ‘i need to figure out HOW to actually deploy this THING first, much less talk about beautifying it’

of course, three months ago i would have been like ‘ya la, of course can, just use tumblr la? maybe the graphs will be quite challenging but can use googlemaps...?’ #naive

lol - in any case really thankful for all the help i’ve received, otherwise i’d still be struggling. tip of the day - GET HELP! from your friends, online, whoever. you don’t ask, you don’t get.

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this is almost like, webdev?!

#python #web development #heroku #website

031117: Website up!!

https://langur.herokuapp.com/

i’m like shedding tears of happiness lol

also, check out a map i plotted (anonymous data).

https://langur.herokuapp.com/time/

some pretty crazy stuff going on!!

#heroku #python #deployment #geomap #map #gmap

021117 - Git and Heroku Setup

for everyone who has ever struggled to set up your Git repository and deploy on Heroku.

the pain is real.

https://github.com/yinglinglow/Python/blob/master/Beginner%20Python%20Cheatsheet/8%20-%20Deploying%20online.md

I hope this helps Python users - may the force be with you.

#github #heroku #deployment #python

271017 - Data Visualisation

Been working on this cheatsheet! Personally I find it helpful... lol

Because I didn’t quite learn matplotlib before getting into pandas, so it was really confusing for me to be frank.

Really recommend beginners to get through matplotlib first, before getting into seaborn and pandas!

https://github.com/yinglinglow/Python/tree/master/Beginner%20Python%20Cheatsheet

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In other news, helping out with Datakind for a dashboard. Hope I can put my skills to good use and help!

#data #datavisualization #cheatsheet #python

251017 - PCA

principal component analysis

such a powerful tool when you have many many MANY different variables.

check out the third example of northern ireland. we never could have done such kinds of analysis if we just use excel, and ‘eyeballing’.

http://setosa.io/ev/principal-component-analysis/

of course, maybe if we did some difference in terms of percentages that might help... hmm interesting let me go do that.

#principal component analysis #pca #python #data analysis

191017 - Visualising data

Well now this took longer than expected (but I am happy I did it!!) - hope on over to take a look, please, and pardon my random musings.

https://github.com/yinglinglow/dataprojects

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on an entirely separate note (and this is not even python related!) - check this out: http://www.bbc.com/future/story/20140701-the-superorganism-engulfing-earth

pretty intriguing

#python #visualising data #github #superorganism

171017 - Cheatsheet

can i promote my cheatsheet again? haha #shameless

https://github.com/yinglinglow/Python/tree/master/Beginner%20Python%20Cheatsheet

I think it’s quite helpful leh lol

#cheatsheet #python #beginner python

111017 - Free Python Resources

I have been getting questions on this, so here is a compilation of free/affordable resources you can try to learn Python online from, within the context of Data Science:

Udemy

Complete Python Bootcamp: Go from zero to hero in Python Jose Portilla Buy it when it is on offer and it should cost only $15SGD. You can claim this from Skillsfuture if you are Singaporean!

Python for Data Science and Machine Learning Bootcamp Jose Portilla

same as above

Machine Learning A-Z™: Hands-On Python & R In Data Science Kirill Eremenko, Hadelin de Ponteves

Haven’t tried this personally but heard good review from a friend - also $15/$18 when on offer

Datacamp

Kaggle Python Tutorial on Machine Learning

https://www.datacamp.com/community/open-courses/kaggle-python-tutorial-on-machine-learning

There are just a few free courses on Datacamp, feel free to explore, but this was pretty fun

Udacity

https://www.udacity.com/courses/all

I am still in the midst of figuring this out, but apparently if you go into the individual courses some of them are free, even though they are part of the nanodegree (which as a whole is not free)

Dataquest

Haven’t tried this personally, but seems like there are some basic courses for free as well according to a friend

Coursera

Also still trying to figure this out, but apparently materials are free. You only pay for graded assignments and certification

Codecademy

For basics

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For the guys who have learnt and want to test your skills, I’d suggest giving the below a try. Practice makes perfect!

Project Euler

https://projecteuler.net/

Reddit Daily Programmer

https://www.reddit.com/r/dailyprogrammer/

Kaggle

https://www.kaggle.com/

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For those who want to make your code more Pythonic:

https://gist.github.com/JeffPaine/6213790

http://python.net/~goodger/projects/pycon/2007/idiomatic/handout.html

https://www.python.org/dev/peps/pep-0257/ (specific to docstrings)

#python #pythonic #free #kaggle #reddit #projecteuler #codecademy #coursera #dataquest #udacity #datacamp #udemy

111017 - Type A/B

this is so important!

clarifies so much. i want to be a type b data scientist - builder!

https://blog.datascience.manipalglobal.com/type-type-b-data-scientist/

#data scientist #type b

041017 - How-to

here again, because this is pretty useful. didn't think too much of it at first, but do take the time to go through this - some pretty amazing stuff/content here.

http://www.datasciencecentral.com/profiles/blogs/how-to-become-a-data-scientist-for-free?utm_content=buffercf59f&utm_medium=social&utm_source=linkedin.com&utm_campaign=buffer

#datasciencecentral #data scientist

041017 - Hans Rosling

Have you seen Hans Rosling’s Ted Talk?

Amazing, Inspiring.

https://www.ted.com/playlists/56/making_sense_of_too_much_data

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I think upon reflection, it is so important to constantly remind my/ourselves why Hans was so effective in his presentation.

He told a story, he knew the context, and with the large amount of data, was able to present a motion picture of how the world evolved - and this moving picture, this evolution of our world as shown by data, is so important. It is more so important when we have so much data collected every second, the IOT, it gives us a complete picture which cannot value add if it is just a single snapshot, motionless - rather it has to be communicated in one single, fluid motion.

He highlights that this may not be for statisticians, taking the mean, it is not precise enough - and that is exactly the point. This is for hypotheses formulation.

For policy formulation, as he highlights, it is critical to drill down to the details, and localise your policies to each group of individuals.

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He showed us the capability as he broke each big circle down into smaller ones. What an incredible man.

#hans rosling #ted #data #gapminder

270917 - Telegram Bot

wowow would you look at that nearly 2 weeks flew by just like that!

what have i been busy with?

well, i am proud to say i have officially kickstarted my first telegram bot project!! not an easy task i assure you and i am still struggling to get it to work properly.

however i am halfway(?) there and hopefully it works ok soon...!!

ok maybe less than halfway cause i cheated and have no yet uploaded it onto heroku - still working locally from my laptop.

https://www.codementor.io/garethdwyer/building-a-telegram-bot-using-python-part-1-goi5fncay

I think the above link was extremely helpful in my process of creating the bot. no doubt there was alot more struggling before i even understood what was going on, it helped. haha

all the best to yall embarking on this journey!

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hmm maybe i should create my own telegram bot tutorial for dummies someday. haha

#telegram #bot #python

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