Victor Alejandro Leiva Espinoza

Data Scientist - Portfolio


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Vectorization


Electric Vehicle Recommendation System

Python Pandas NumPy Matplotlib Scikit-Learn XGBoost Supervised Learning Unsupervised Learning Feature Engineering Hyperparameter Tuning Statistics Probability Data Modeling JSON Jupyter Google Colab GitHub Markdown Data Cleaning Data Visualization

This project develops a recommendation system for electric vehicles (EVs) that personalizes suggestions based on user-defined inputs. Users specify numeric and categorical vehicle attributes via an interactive interface, which are then processed through data transformation and similarity calculations to find the most comparable EVs from the dataset.

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