I learned about the implementation of a Decision Tree Classifier in python using scikit-learn done

I learned about the implementation of a Decision Tree Classifier in python using scikit-learn. I've calculated the Entropy, Gini Impurity and the Information Gain. I've done all this with 100% practice.

https://www.kaggle.com/muhammadrameez242 , ye meri kaggle ki I'd hai yha par Ap mukamal assignments simple roman urdu mein mill jai gi codes mein

https://dreampuf.github.io/GraphvizOnline/ . this is the online previewer for dot files

I have done this video with 100% practice.

I have done this lecture with 100% practice.

The main point is that when we remove the alive column the model performs well and graph representation becomes better.

I also learned in this lecture how to code a decision tree algorithm for classification in PythonSteps of DECISION TREE in Python1-Import libraries 2-Load the data set of TITANIC 3-Drop the deck column 4-Impute missing values of age, and fare using median 5-Impute missing values of embark and embarked_town using the mode 6- Encode the categorical and object variables using for loop and label encoder 7-Split the data into X and y 8-Split the data into train and tests. 9-Create and train the model with prediction 10-Predict the model 11-Evaluate the model 12-Save the decision tree classifierALLAH PAK aap ko sahat o aafiat wali lambi umar ata kray aor ap ko dono jahan ki bhalian naseeb farmaey,Ameen.