Build your first machine learning model in Python

In this video, you will learn how to build your first machine learning model in Python using the scikit-learn library.

Time stamp
0:00 Introduction
0:15 Getting started with Google Colab
1:30 Load dataset
6:52 Split to X and y
8:30 Split data to train/test set
11:45 About DiscoverDataScience
13:00 Model building with Linear regression
21:55 Model building with Random forest
26:00 Model comparison
27:55 Data visualization
30:32 Conclusion

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#datascience #machinelearning #dataprofessor

[brittanybutterworth]

🐍My heart is pounding so hard! I can't believe it was that 'simple' to make a model!! It gives me so much confidence to start learning more and add more models to the code I've made

[Ts]

Amazing- I really liked how casually you would think to add colors, trend line and straight away go and add a few lines to reflect in output. Shows how comfortable you’re- for a beginner like me- that was so instructive when you speak out your thoughts on the go.

[nikhilrajput]

You literally give the brief on machine learning in a very simple and easy way

[animelover]

I didn't have any prior knowledge of Data Science or Machine Learning, but as a visual learner,
I finally understand the purpose of the mathematical equation y = f(X).
Initially, after watching a couple of videos and starting from a math tutorial, I was confused about the relevance of math in this field.
But now I see its importance, and I am grateful for this new understanding.
Thanks @DataProfessor

[dsnewton]

After this tutorial, I can now start my ML Journey confidently. May God bless you Data Professor to continue doing this good work. Cheers

[shakirabdo]

This is the clearest ML Tutorial I’ve ever watched ❤❤❤

[ololololololoj]

This video is amazing! You explain things so clearly, and the quality is excellent.

[ranahuzaifa]

This was the easiest video on the ML model. Thanks Prof.

[ranjandeep]

This is amazing Data Professor. Hope to see more of this stuff.

[bassmonkey]

🐍Amazing depth covered in a short time-frame! Thank-you for compiling this introductory ML tutorial!

[mhapich]

🐍 This was SO helpful. I feel like I had just been going through the motions in that process before, but you explained WHY each step is done. And I will definitely be using headings from now on to create that table of contents. Thanks, Data Professor, for another great video!

[ragus]

You made the process very simple for us! Great Video! Keep up the good Work!

[mishanshah]

🐍This was my first video on ML and you made it really easy to follow through. I did this because I wanted to feel how it is like to do this, and I like it. I will definitely follow this through and study the actual maths behind it. Thank you for keeping me motivated.

[HamsterWorld]

One of the best beginner videos available on YT😍

[prashanthibandari]

Excellent video. You explained everything very simple. Which i learnt 1 month in classroom you just explained in few minutes. It is quick recap for me. Thank you..

[sumit]

The only video that I understood about ML. Thank you!

[andrewdorsey]

🐍 Thanks for this. I appreciate you not just going straight into the core material, but talking about the organization with the headers.

[MrIbadanBoy]

Awesome as always.. I'm applying this to my QSAR dataset in a bit.. Thanks for churning out great n useful content as always.. You d bestest Data Professor.

[trendsandmore]

I usually don't spend time commenting on youtube, but dude this is a great video! Easy to follow alone, and very helpful. Thank you

[HerozTech]

this is literally the first machine learning that i have built
looking to take it further
Thanks for the tutorial
🐍🐍🐍🐍🐍🐍🐍🐍🐍🐍🐍🐍🐍🐍