Pinned Repositories
basic-ML-examples
Two examples of basic Machine Learning models: Linear Regression and kNN. I explained both of these models in a YouTube vídeo talking about the Computer Science major.
csgo-aimbot
dino-reinforcement-learning
Evolutionary Reinforcement Learning for Dino Game: Train an AI agent to master Google Chrome's Dino Game using a genetic algorithm and reinforcement learning.
license-plate-recognition
Argentinian License Plate Recognizer
loess
Locally weighted regression, or loess, is a way of estimating a regression surface through a multivariate smoothing procedure, fitting a function of the independent variables locally and in a moving fashion analogous to how a moving average is computed for a time series.
maps-pathfinding
Discover the differences between A* and Dijkstra algorithms in city map pathfinding through a Jupyter notebook demonstration. Explore algorithmic efficiencies and road usage patterns in navigating urban landscapes.
nlp-ner-spanish
Named Entities Recognition (NER) model using spaCy
otakuoperonista
siargentinafuera
sudoku.com-solver
Backtracking-based sudoku solver for sudoku.com.
santifiorino's Repositories
santifiorino/maps-pathfinding
Discover the differences between A* and Dijkstra algorithms in city map pathfinding through a Jupyter notebook demonstration. Explore algorithmic efficiencies and road usage patterns in navigating urban landscapes.
santifiorino/dino-reinforcement-learning
Evolutionary Reinforcement Learning for Dino Game: Train an AI agent to master Google Chrome's Dino Game using a genetic algorithm and reinforcement learning.
santifiorino/sudoku.com-solver
Backtracking-based sudoku solver for sudoku.com.
santifiorino/license-plate-recognition
Argentinian License Plate Recognizer
santifiorino/basic-ML-examples
Two examples of basic Machine Learning models: Linear Regression and kNN. I explained both of these models in a YouTube vídeo talking about the Computer Science major.
santifiorino/csgo-aimbot
santifiorino/nlp-ner-spanish
Named Entities Recognition (NER) model using spaCy
santifiorino/loess
Locally weighted regression, or loess, is a way of estimating a regression surface through a multivariate smoothing procedure, fitting a function of the independent variables locally and in a moving fashion analogous to how a moving average is computed for a time series.
santifiorino/siargentinafuera
santifiorino/otakuoperonista
santifiorino/tesis-de-licenciatura
santifiorino/TLeng
santifiorino/AAG
santifiorino/biicc
santifiorino/chess-engine