EDA, Analysis, and ML Deployment: Navigating MBTI Personalities. From in-depth exploration to modeling and deployment, join my journey in understanding and predicting human behaviors using Myers-Briggs Type Indicator.
MBTI Personality Identification is a project aimed at exploring and predicting human behaviors based on the Myers-Briggs Type Indicator (MBTI). Here's an overview of the project components:
- Data Collection: Gathering data related to MBTI types from various sources, such as social media platforms, forums, or surveys.
- Preprocessing and Feature Extraction: Cleaning the collected data, extracting relevant features, and preparing it for analysis and modeling.
- Exploratory Data Analysis (EDA): Conducting in-depth exploration of the data to uncover patterns, correlations, and insights related to MBTI personality types.
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Machine Learning Models: Developing machine learning models to predict MBTI personality types based on the collected data and extracted features.
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Model Deployment: Deploying the trained models to make predictions and provide insights into human behaviors.
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User Interface and Integration: Building a user-friendly interface to interact with the deployed models and integrate them into existing systems or platforms.
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Continuous Improvement: Iteratively improving the models based on feedback and new data to enhance prediction accuracy and usability.
Overall, MBTI Personality Identification aims to provide a comprehensive solution for understanding and predicting human behaviors using the MBTI framework.
This project utilizes several libraries and frameworks to accomplish its objectives:
- Data collection and preprocessing
- Exploratory Data Analysis (EDA)
- Feature extraction and selection
- Model training and evaluation
- Model deployment and integration
- Continuous improvement and refinement
Next steps:
- Gather additional data sources to improve model performance
- Enhance user interface for better interaction
- Incorporate feedback for model refinement
M. Masdar Mahasin
- LinkedIn: M. Masdar Mahasin
- Email: mmasadar@gmail.com
- Portfolio Website: mahasin.xyz