Car Price Predictor Project | Machine Learning | Linear Regression

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In this project we will build a car price predictor using Linear Regression. We will also convert it into a full-fledged website using the flask framework.

Link to dataset:

Link to Notebook:

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00:03 Learn to make a project on winning car price bid
05:34 Planning to create. Cleaning of new session
16:45 The film was sliced into three wards and combined with speed
21:32 Explaining the process of importing linear regression model
31:52 Discussing the installation of a gas pipeline and regression model
36:07 Displaying text on the screen
46:12 Designing and purchasing a company model
51:20 Typing
1:02:07 Simple method for subscription and prediction
1:08:06 Creating and using form data for the project
1:18:42 Discussing video editing and subscription

khanabdulmuhammad
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This the Best explanation that I ever saw on youtube

rc_yt
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ultimate explanation for Hindi learners and very hard work done by the instructor, cannot find so much technical content in such short time span anywhere else on youtube (had to watch at 0.75 speeds for understanding the code!)

John-xiim
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Very good bro ! Superb from sri lanka 🇱🇰

I will never mis u r videos ❤️

chathushkajeewantha
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cherry picking random state value will introduce bias. I trained Xg boost and rf regressor. RF regressor is giving fair results.

I-Umer
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In this code, make sure to replace 'data/Clean_car.csv' with the correct file path to your "car = pd.read_csv('data/Clean_car.csv', index_col=0)" file. This will load the CSV file into a DataFrame and set the index column as specified.

klawpaw
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In car fuel_type there is only one Nan value that is Toyota corolla which is a hybrid car petrol and electric and 'electric' wasn't in any other cars so, can we simply replace it with petrol ?

bhavikpunmiya
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After a little struggle, I found this amazing legit project online which is running on my computer. Thank you for the project.

akshaychavan
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After running the project and entered all the datas like company, model, kilometres and tapped predict price it results internal server error...how to overcome this pls reply

dharshini
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I tried on vs code but it is showing internal server error while predicting. because linearRegression.pkl file is not able to open in vs code.what to do

muskanyadav
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The model could have been made better using resampling methods like k-fold cross-validation because dataset is small

purelyeconomist
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i just want to mention why you did not delete "duplicate rows", it's impacting the model accuracy.

sandhyashukla
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32:00 is when fun in code begin!! hahaha, amazing moment, whenever redline error comes: 'Aur ye gaali isliye de raha hai kyuki.. XD haha, dope!'

paragbharadia
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Kuch missing hain.
1- this is regression problem so feature scaling missing hai.
2 - Sir app ka explanation sehi nehi hai.

Pros: Very nice project.
Request : ek request hai kindly koi aisa project banaiye jismein sare feature engineering and feature selection involve ho with mongo DB.

ajaykushwaha-jemw
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Hera is a small request from my side,
Try to deploy car price prediction project or any new project from the same project in streamlit

siridinath
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Year of manufacture aisa hona chahiye 👍

AkashRokadeAR
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learned new things today. Thank you soo much

rachitsingh
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I removed outliers using IQR and columns rows dropped down to 764 in my cleaned dataset.

bangalicoder
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how you import .pkl file here from jupter notebook?
Also are you using paid version of Pycharm?
please answer

Imran_Khan
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i laughed very hard when you said indices maar kha gye hai... anyways great work!

chessfreak