Task 3: Decision Tree Classifier

This project is part of my internship at Prodigy Infotech (June 2025) under the Data Science domain.

📌 Objective:

Build a Decision Tree Classifier to predict the target variable based on input features.

🛠️ Tools & Libraries:

• Python
• Pandas, NumPy
• Scikit-learn
• Matplotlib / Seaborn

🔎 Steps:

• Data cleaning & preprocessing
• Splitting data (Train/Test)
• Model training using DecisionTreeClassifier
• Evaluation with accuracy & confusion matrix

✅ Outcome:

Achieved a good accuracy with clear model interpretation.
Decision Trees are easy to visualize and great for classification tasks.

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👩‍💻 Anika
BTech CSE (AI & DS) | Intern at Prodigy Infotech