ML(?? ??)?? Python? ??? ?? ??? ?? ???, ??? ? ???? ????? ?? ?????. ? ???? ?? ?????? ??? ??? ?? ??? ????? ML? Python ??? ?? ???? ??? ?????.

????? ?? Python? ???? ??? ??????

ML ???? Python? ??? ??? ?? ??? ?? ? ?? ?? ??? ????.

• ??? ???: ???? ???? ???? ?? ??? ? ????.
• ??? ?????: ??? ?????? ??? ??, ??? ? ?? ??? ??????.
• ??? ???? ??: ?? ???? ????? ?? ??? ? ?? ???? ??? ?????.

Python? ??? ???? ?? ???? ML ????? ?? ??? ?? ???? ??? ?????.

????? ?? ?? Python ?????

ML ??? ???? ?? ??? ?? ??? Python ?????? ?????.

NumPy: Python ?? ???? ?????. ??, ?? ? ?? ??? ?? ??? ?????.

• ?? ????: ???? ?? ??, ?? ?? ? ?? ??? ??????.

Pandas: ??? ?? ? ??? ?? ??? ????????. DataFrame ??? ???? ??? ??? ??????.

• ??????: ??? ?? ??, ?? ? ??? ?????.

Scikit-learn: Python?? ?? ?? ???? ML ????????. ??, ??, ?????? ?? ????? ???? ??? ??? ? ??? ?? ???? ??? ?????.

• ??????: ML ?? ?? ? ??

?? ?? ??

pip? ???? ??? ?????? ?????.

pip install numpy pandas scikit-learn

??? ???? ??? ??? ??? ? ????.

???? ???? ????

?? ???? ???? ?? ?? ???? ?? ?????? ???? ?? ML ??? ??? ?????.

1??: ????? ????

??? ????? ????:

import numpy as np
import pandas as pd
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import accuracy_score

2??: ??? ?? ??

Scikit-learn? ???? Iris ??? ??? ?????.

# Load the Iris dataset
iris = load_iris()

# Convert to a Pandas DataFrame
data = pd.DataFrame(iris.data, columns=iris.feature_names)
data['species'] = iris.target

3??: ??? ??

??? ??:

# Display initial rows
print(data.head())

# Check for missing values
print(data.isnull().sum())

# Summary statistics
print(data.describe())

4??: ??? ??

??(X)? ??(y)? ???? ???? ?? ? ??? ??? ??:

# Features (X) and labels (y)
X = data.drop('species', axis=1)
y = data['species']

# Train-test split
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

5??: ?? ??

?? ???? ??? ??:

pip install numpy pandas scikit-learn

6??: ?? ? ??

?? ? ?? ??? ??:

import numpy as np
import pandas as pd
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import accuracy_score

?????! ? ?? ML ??? ??????. ? ?? ??? ????:

• Kaggle ?? UCI ?? ?? ????? ?????? ??? ???.
• ?? ????(?? ??, ???? ??, ?? ?? ??)? ??? ???.
• ??? ??? ??(????, ???, ?? ??)? ?????.

?? ?? ???

• Scikit-learn ??: ?? Scikit-learn ???
• Kaggle Learn: ???? ?? ???? ML ????
• Sebastian Raschka? Python Machine Learning: Python? ??? ML? ?? ??? ???? ????.

? ??? ?? ??? ?? Python ????? ?? ?????. ??? ??? PHP ??? ????? ?? ?? ??? ?????!