Machine Learning in Python: Building a Classification Model

In this video, I will show you how to build a simple machine learning model in Python. Particularly, we will be using the scikit-learn package in Python to build a simple classification model (for classifying Iris flowers) using the random forest algorithm.

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[DataProfessor]

Code of this tutorial is available as a Jupyter notebook via GitHub (link below).

[forestsunrise]

I learn better in this 20 min video than in 1 semester at the university. Thank you so much!

[friederikebauer]

Ran my first test for my thesis! Super informative, thanks :)

[soeleos]

Hey prof, I'm a prof @FSU, direct a ML lab, great tutorial, will use this onboarding new students, Many thanks!.

[nicholflowers]

I really appreciate your organized approach to making this video very clear and simple. Thank you Professor!

[sctterwnd]

Thank you so much! I was able to come up 17 places in this ML competition because of this. Short and to the point. <3

[thomastimjensen]

Hi, Data Professor! Thank you so much for a very lucid and well structured walk-through of how to build a classification model. I am a master student in data driven organisational change at a university in Denmark, and your course is just perfect to expand my knowledge. Thank you!

[galnahum]

ครูชานินวีดีโอคนนี้ดีมากครับ Looking forward to the next video in the series. ขอบคุณมากนะครับ ⁦🙏🏻⁩

[shiyuran]

Thank you so much for your patient explaination! I wonder what X[[0]] means?

[dd]

Thank you for sharing, great explanation!!

[siddharthachaganti]

Never though people who study biology are interesting but now i change my opinion, you are the best ..

[nuramirahsyahirahzainurin]

can I do a classification model in burnout?

[sushmaramesh]

Oh my God !! This is great stuff !! Thankyou so much !!

[larrysizemore]

How exactly should we do this on our own?

[ahmadaltaweel]

My first project is to spell your name correctly :) Love you professor.

[mathsyou]

You have xplained it nicely..Plz explain machine learning in Python using Brain Arteries data set...

[shailabhshankar]

Lets say, i have a data set that has two features to be included in the Y set... how do we do that..
I have a data set with columns - class name, X, YW, H, cluster Number.
I want the model to predict the class name based on the X, Y, W, H and cluster number...
For all the same cluster number, i want the model to take into consideration the X, YW, H of only respective cluster number
Cluster number are actually the template number of invoices, X, YW, H are co-ordinates... and class names are fields name.. so the problem statement is that... we know the cluster number and X, YWH co-ordinates and we want the system to predict which set of co-ordinates are which data fields..
so the model must only take into account those X, Y, WH for specific cluster number rather than taking all X.YW, H into account.
Thanks in advance.

[blessingadeyemi]

Thanks a lot for this tutorial. I wanted to ask why you made a prediction with an instance from the training set instead of using new data. Doesn't this cause overfitting?

[thestorm]

Hi Prof, I am currently working on a project, its IoT related, and i need to use machine learning to detect the DDoS traffic and then use other algorithms to block the traffic.
if you can give advice on how to go about it, my department reject the use of sklearn libraries.
currently studying in africa.

Your candid advice will be greatly appreciated.

[Alok-lkql]

Sir if we don't have balance class for target variable then what to do?