Join the conversation

done...

Reply

Great sir. thank you so much. learned a lot from this chilla.
Thank you baba g.

Reply

Perfect

Reply

Complete Understanding of Linear Regression

Reply

In regression tasks, "model.score" can refer to metrics such as R-squared (coefficient of determination), which measures how well the model fits the data. R-squared values range from 0 to 1, with 1 indicating a perfect fit.

Reply

In classification tasks, "model.score" often refers to a metric such as accuracy, which measures the percentage of correctly classified instances in a dataset.

Reply

typically refers to a method or metric used to evaluate the performance of a trained model.

Reply

df_linear = df_linear[(df_linear['fare'] > 10) & (df_linear['fare'] < 40)]

Reply

X.fillna(df['age'].mean(), inplace=True)

Reply

9c

Reply

Sir jb hum decision tree regression algorithm apply kry ga same isi step pr krna?