2 Simple Linear Regression Tutorial With Python Pandas, Sklearn, Seaborn, Matplolib

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This Tutorial 2 on Simple Linear regression and some practical in Python(step by step) using Jupyter notebook.

These are the Steps
1. Import the pandas library
2. Import your dataset
3. View your dataset
4. Import libraries for plotting(seaborn, matplotlib
5. Do a pairplot of the data
6. Extract the Features into X
7. Examine X
8. Extract the output variable into y
9. Examine y
10. Import library for spliting
11. Split data into training and test dataset
12. Perform Linear Regression
13. View the Regression Coefficients
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Sorry for the music playing in the background! Never knew it was so bad.

KindsonTheGenius
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Great job buddy ! you really helped me, thanks again !

ricardomorales
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Thank you so much for your videos! I would advise to do more machine learning algorithm tutorials! You have a very good way of taking complex information and making it very simple to learn. I like how you are straight to the point, and include all necessary steps. I also like how you used a guide to get your through your linear regression approach. I have taken notes on that lol. I will search to see if you have more ML videos, but feel free to link any that you think would be good for a beginner ML student. Thank you very much, and you have indeed earned a SUB!

andrewtupua
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please where can I find part three? the explanation would be really helpful

ilolita_
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Hello in line 33 my code is not running any help, please. I get an issue with x_train and y_train

erikbravo
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thanks so much for this vid, you explain really GOOODDD!!! 🙏

VRUNO
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Great tutorial, Keep great work up. Just one humble request, Please don't play music in the background. It make voice worse after YouTube's compression .

pallyweb
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in there a link to next video? good stuff thanks

vixxiv
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Great video and I just love the background music mainly because I know the organization that sang it

everestagbroko
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When I am doing x= data[feature_cols]
it is giving me the error that data is not defined.

what should i do?

Harshita_Banvir
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Please also give the links to the next part of the video

souricksinha
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I cannot find the 3rd part of this video please help me to find continuation of this video I really need

amulyachowdary
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Hi Kindson,

Your tutorials are really very good, rigorous and deep. Want to have the link for ML with python with various algorithms. Also link for Deep Learning practice exercises / projects. Thanks a lot

kmnm
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great video
can you share the datasets

ojicletus
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