This document introduces machine learning and how it can be used to predict car prices based on characteristics like year, make, mileage, and other available data. It explains that an expert can use this data to determine a car's price, and a machine learning model can be trained to do the same by learning patterns in the data. The model would be trained on sample data that contains the features known about each car along with the target price value. It could then be used to predict prices for new cars by taking in their features. This allows applying the patterns learned during training to make useful predictions without needing expert knowledge.

1. Introduction to
Machine Learning
DataTalks.Club
Machine Learning Zoomcamp
Session #1.1

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Imagine we have a car classifieds website
Pictures taken from olx.ua

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John Torcasio/unsplash (source)
I want to
sell my
car

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📱

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📱

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🤔
📱

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How can we help our user select the best price?
📱
🤔

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$1.1k
Price
$0.6k
$23k
What do we know about cars?

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1995
Year
1980
2016
$1.1k
Price
$0.6k
$23k
What do we know about cars?

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1995
Year
1980
2016
GAZ
Make
VAZ
BWM
$1.1k
Price
$0.6k
$23k
What do we know about cars?

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1995
Year
1980
2016
GAZ
Make
VAZ
BWM
200.000
Mileage
100.000
5.000
$1.1k
Price
$0.6k
$23k
What do we know about cars?

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1995
Year
1980
2016
GAZ
Make
VAZ
BWM
200.000
Mileage
100.000
5.000
$1.1k
Price
$0.6k
$23k
...
...
...
...
What do we know about cars?

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1995
Year
1980
2016
GAZ
Make
VAZ
BWM
200.000
Mileage
100.000
5.000
$1.1k
Price
$0.6k
$23k
...
...
...
...
👷
Using this information, an expert can determine the price

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DATA PATTERNS
👷

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DATA ML PATTERNS
DATA PATTERNS
If an expert can, so can a model!
👷

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1995
Year
1980
2016
GAZ
Make
VAZ
BWM
200.000
Mileage
100.000
5.000
$1.1k
Price
$0.6k
$23k
...
...
...
...
“Features”
what we know about cars
“Target”
what we want to predict

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1995
Year
1980
2016
GAZ
Make
VAZ
BWM
200.000
Mileage
100.000
5.000
$1.1k
Price
$0.6k
$23k
...
...
...
...
... ... ... ...
...
🚗

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1995
Year
1980
2016
GAZ
Make
VAZ
BWM
200.000
Mileage
100.000
5.000
$1.1k
Price
$0.6k
$23k
...
...
...
...
... ... ... ...
...
🚗
model
“Features” “Target”
train
Machine Learning

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1995
Year
1980
2016
GAZ
Make
VAZ
BWM
200.000
Mileage
100.000
5.000
$1.1k
Price
$0.6k
$23k
...
...
...
...
... ... ... ...
...
🚗
“Features” “Target”
predict
$1.5k
Price
$0.4k
$20k
...
“Predictions”
Using a model
model

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�
�

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📱 model
1995
GAZ
200.000
...
Year
Make
Mileage
...

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model
1995
GAZ
200.000
...
Year
Make
Mileage
...
📱

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📱
🥳

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Features
Target
Model training
ML Model
Summary

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1995
Year
1980
2016
GAZ
Make
VAZ
BWM
200.000
Mileage
100.000
5.000
...
...
...
...
... ... ... ...
$1.1k
Price
$0.6k
$23k
...
Model training
Summary
ML Model

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Features Predictions
Model
Predictions
Summary

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Model
1996
Year
1991
2018
Volvo
Make
GAZ
Audi
100.000
Mileage
50.000
2.000
...
...
...
...
... ... ... ...
$1.1k
Price
$0.6k
$23k
...
Predictions
Summary

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