Project 7. Car Price Prediction using Machine Learning with Python | Machine Learning Projects

. This video is about Car Price Prediction using Machine Learning with Python. This is a Regression Machine Learning Project. This is one of the important Machine Learning Projects.

Hi guys! I am Siddhardhan. I work in the field of Data Science and Machine Learning. It all started with my curiosity to learn about Artificial Intelligence and the ability of AI to solve several Real Life Problems. I worked on several Machine Learning & Deep Learning projects involving Computer Vision.
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[JahanzaibNiazi]

I was pure newbie in the domain of machine learning, even i was not aware of definition of labels, model, training etc. But after watching your car price prediction tutorial now i am feeling that i have become the ML engineer. My lot of concepts have been cleared. Now, i have even successfully deployed the model after saving the mode. The user is now giving the test input and it is successfully predicting the price.

[x-dev-johndoe]

Bro, R² (R-squared) score quantifies how much better your regression line predicts compared to always predicting the mean value. 0 means your model is no better than just predicting the mean. 1 means your model perfectly predicts all data points.

Higher R² indicates a better fit of your regression line to the actual data.

[dhanaxi_bohra]

your projects are good and helpful but all are without deployment. it would be very helpful if you upload 1 deployment video as well.

[awaisahmad]

Great demonstration.

My concepts are cleared now regarding how to fit linear regression on Such kind of datasets where there are multiple attributes like fuel kms used engine power transmission.

[ΑργύριοςΤακλάκογλου]

How can we change the colour of Predicted Prices in the scatter? This will help us understand better the difference between Actual Prices which will be visualized in blue colour and Predicted Prices which will be visualized in red colour.

[AT-y]

thank u best explaination on application of linear regression so far

[madhupincha]

In this tutorial we learnt regressions but how to predict price of any car when we have required parameters?

[kaveeshamadushan]

Greate explanation for learners. Thank you very much. we need more videos like this.❤

[AbhishekSingh-xgzj]

Amazing explanation sir. Great video ❤

[vijayramchallagundla]

Thanks a lot for making, this video made me to get good grade in my ML subject.

[Al-khayr.]

I clicked on the link to the dataset in the description
I am getting a 404 page not found error
Any help please

[digigoliath]

Thanks for a newbie friendly video. I have 2 questions.
1. A newbie question. How to deploy this as a production model to predict a car price for a given set of inputs?
2. How to plot Actual Prices vs Predicted Prices in different colors?

[Maa_Chitti_Prapancham]

bro, while you used lasso at end, you got test data r2 score is more compare to train data r2 score. How we can infer on this? is this overfitting or under fitting?

[RandomSena]

now can anyone solve my query, I want to build a website using this, where we will input the characteristics of the car, and the predicted car price will be displayed. How to connect this python notebook on colab to work on a website Please anyone

[clinton]

The Dataset Can't be accessed any more. The second time i am encountering this issue with the projects. Consider this when making your projects because i believe the projects are made to educate for a long time. Thank You

[valeriyagamerman]

Thank you! Very helpful for our project.

[CIVILSolved]

Why you did not perform data standardization here?

[crazyfootball]

to test the validity of model beyond r2 score if we specify attribute values that are closer to one of the training data record, in the final output window, should the model need to predict the price nearer to selling price for that specific record in training data? Expecting your answers. Thanks

[nagusameta]

Would it be beneficial to perform one-hot encoding on the categorical features that have more than 2 categories (e.g. 0, 1, 2...)? It was suggested in a different lecture, but i dont know what to do then if the number of categories go higher like 10 or more.

[pubgclutch]

can we use map function also right to encode the categorical to numerical?