This project's main goal is to analyze mental health from Kaggle dataset and create a machine learning model to predict depression states.
-Statistical analysis
-Missing data analysis
-Correlation analysis between symptoms (visualized through a heatmap)
-Builds and evaluates a Decision Tree Classifier to predict depression states based on various symptoms.
-Python
-Pandas
-DecisionTreeClassifier
-Matplotlib