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bayes_em_algorithm_implementation

Bayes and EM exploration with implementations of EM algorithm and Naive Bayes. Visualize results for enhanced understanding.

credit_default_prediction

Credit Default Prediction using Python. Explore and predict default payment utilizing 23 explanatory variables. Analyze credit, demographic, and payment history features. Valuable for risk assessment in financial domains.

decision_tree_algorithm_implementation

Decision Trees implementation with OOP in Python. Includes Gini and Entropy impurity measures, construction of decision tree algorithms, pruning for improved results, and visualization for enhanced understanding.

ex10

IT Course Exercise 10 (Reichman University)

investmentstrategy_modeling_project

Explore predictive modeling for peer lending in SoftLending data. From business understanding to model evaluation, uncover insights for investment strategies. Organized and documented for efficient navigation. #DataScience #Analytics

linear-regression-implementation

Explore and implement Linear Regression using pandas and NumPy. Fit models, visualize results, and experiment with adaptive learning rates. Ideal for understanding predictive modeling with practical examples.

lyrics-stats

titanic_survival_prediction

Predicting Titanic survival using machine learning models with age, sex, ticket class, and fare. Tested linear regression, logistic regression, and KNN with cross-validation and metrics like accuracy and recall. The best-performing model is available on GitHub with code, data, and results.