This project predicts personality traits by analyzing behavioral data patterns. It explores how subtle differences in responses and habits can reflect distinct personality types, offering meaningful insights into human behavior.
To develop a model that can predict a person’s personality type based on given input data, using data-driven insights and machine learning techniques.
- personality_datasert.csv – Dataset containing input data and personality labels
- model.ipynb – Jupyter Notebook with data preprocessing, model training, and evaluation steps
- Data cleaning and preprocessing
- Exploratory Data Analysis (EDA)
- Model training and prediction
- Evaluation of model performance
- Python
- Pandas, NumPy
- Scikit-learn
- Matplotlib, Seaborn
- Jupyter Notebook
The model provides predicted personality traits based on input patterns and demonstrates how data can reveal meaningful insights into behavior.