Hands-On: Symbolic AI Projects
These projects focus on traditional machine learning algorithms and techniques, perfect for building a strong foundation in data science.
Email Spam Detection System
Develop a robust machine learning classifier to accurately identify spam emails using models such as Naive Bayes, Support Vector Machines, or ensemble methods. Emphasize text preprocessing, feature extraction, and model evaluation.
Dataset: UCI Spambase Dataset. Categories: Classification, Natural Language Processing, Text Analysis, Binary Classification.
Credit Card Fraud Detection
Create a predictive model to detect fraudulent credit card transactions while addressing class imbalance. Explore anomaly detection and ensemble methods.
Dataset: Kaggle Credit Card Fraud Dataset. Categories: Classification, Anomaly Detection, Imbalanced Learning, Financial Machine Learning.
House Price Prediction
Develop a regression model to predict housing prices based on features such as size, location, and amenities. Experiment with linear regression, random forests, and gradient boosting.
Dataset: Kaggle House Prices Dataset. Categories: Regression, Feature Engineering, Ensemble Methods, Real Estate Analytics.