Decision trees are powerful machine learning models used in data science projects to make predictions by splitting data into branches based on feature values. They follow a tree-like structure that is easy to interpret and visualize, making them ideal for classification and regression tasks. Learning how decision trees work is a core concept covered in a Data Science Course in Chennai at FITA Academy, helping learners build practical, real-world models with confidence.
English
Arabic
French
Spanish
Portuguese
Turkish
Dutch
Italiano
Russian
Romaian
Portuguese (Brazil)
Greek