Introduction - Learn Python for Data Science #1

Welcome to the 1st Episode of Learn Python for Data Science! This series will teach you Python and Data Science at the same time! In this video we install Python and our text editor (Sublime Text), then build a gender classifier using the sci-kit learn library in just about 10 lines of code.

Please subscribe & share this video if you liked it!

The code for this video is here:

I created a Slack channel for us, sign up here:

Download Python here:

Download Sublime Text here:

Some Great simple sci-kit learn examples here:

and the official scikit website:

Highly recommend this online book as supplementary reading material:

Wondering when to use which model? This chart helps, but keep in mind deep neural nets outperform pretty much any model given enough data and computing power. so use these when you don't have access to loads of data and compute:

Thank you guys for watching! Subscribe, like, and comment! That's what keeps me going. Feel free to support me on Patreon:

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[dewayneyocum]

if this guy doesn't make you wanna learn, something is wrong.

[LearnToMaster]

Nice tutorial, Siraj. Had to adjust the commands in install dependencies / setting up the environment for latest version of Python: pip3 install -U pip
pip3 install -U scikit-learn
and new ones:
pip3 install numpy
pip3 install scipy
and to run:
python3 demo.py

Tree: Male; K Nearest Neighbour: Female; Logistic Regression: Female

[defenestrated]

_Born too late to explore the Earth_
_Born too soon to explore the galaxy_
*Born just in time to explore dank **-memes-** data*

[diahidvegi]

Siraj what can i say... thank you for everything you do lol. effective teaching, best memes, super good pace.. WE LOVE YOU

[morisonfb]

Genius!! Data science is somehow boring but you've made it tremendously awesome.

[dasmusikistschoen]

Siraj! I admire your enthusiasm!! Eventhough the topic looks impossible to learn with any motivation. You give the necessary energy to start from somewhere :))


I wish to cover as many topics as possible about machine learning and apply it to my day-to-day problems so that I can grow myself as an ml expert who is committed to teach young non-english knwoing kids in my country :)

Thank you!! Thank You!!!

[milton]

Sorry Siraj, I like 99% of the content you post, but this video seemed way too rushed. It doesn't take into account possible technical difficulties beginners might have. I spent over an hour just trying to figure out the Sublime Text part and I'm still trying to get this functional.

[ranju]

Love you Siraj... yesterday i just messed up with my Data Analyst(Berlin Startup) interview...i was down but your energy is so inspiring... I am hopeful someday i will be able to reach my goal. Thanks for your tutorials...

[sergeykojoian]

"yo, wtf" made my day :)) Can't tell you how many times I have had the same reaction working in Windows

[edoinsanic]

just discovered Siraj. Love his style. Enjoy every aspect of his lecture videos: info, oversimplifications, comedy bits, rapping...keep up the great work Siraj...

[transportation-talk]

This course includes Decision Trees and other algorithms in detail, with very intuitive explanations. And it's FREE too.

[Husholdninger]

Whoa! I learned heaps, installing all of those libraries. Using
settings, ["RandomForestClassifier: clf.fit", "MLPClassifier: clf.fit",
"SVC: clf.fit"], I got the same result in all three, ['female']. Great
vid! Looking forward to learn more.

[Wfb_DVM]

Holy shit that was fast. But for some reason I understood it all the first play through! You sir, have earned a new subscriber

[ignaciodelamadrid]

Dude, this video is brilliant! I love your way of showing programming. I'll follow you daily. Keep cranking!

[coreyhulse]

Stepping it up a notch, I wrote my own implementation for K-means and K-Nearest Neighbors and compared them against three classifiers from scikit to see if they got the same answers. They did! Even threw in code for visualizing my clustering algorithm in 3D.

Fully commented it all as well if anyone else wants to learn from it!

[kevinrayjon]

KNeighborsClassifier has consistent results with DecisionTreeClassifier. I am sure that understanding the principles behind will make sense. Thanks for great tutorial!

[CashewOCE]

Brilliant video man! Looking forward to some more advance ones :D

[unicornsdesk]

i love this kinda fast paced, more info driven, funny, on the point videos.. with a great presenter of course.. going great keep it up

[PranavReddytv]

If anyone's following everything in the video like me, "Hello World" needs to be in parenthesis for python 3.

[khushiimalik]

You're doing that "Learning is fun" kinda teaching. You're great, man.