Pinned Repositories
a-case-study-on-police-behavior-during-traffic-stops-with-pandas
An exploration of a part of the Stanford Open Policing Project dataset and analysis of the impact of gender, hour of day, weather and many other variables on police behavior during traffic stops.
client
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
cluster-analysis
An introduction to Cluster Analysis and the K-Means clustering technique.
handson-ml-notes
Notes and code along plus my solution to the exercises of hands on ML book
handwritten-digits-recognition
Handwritten digits recognition using the backpropagation algorithm and the MNIST dataset.
heuristic-search-methods
Implementations of heuristics search methods algorithms developed in the course of Applied Artificial Intelligence from the B.Sc. Computer Engineering at UFRN.
predicting-pulsar-stars
Predictive model for Pulsar stars using artifical neural networks with the Keras API.
regression-analysis
Implementations and statistical considerations about Regression Analysis models such as Simple and Multiple Linear Regression, and Logistic Regression.
smiling-detection
A tensorflow implementation of a convolutional neural network for smile detection.
wildfires-analysis
Analysis of wildfires from the open dataset provided by brazilian National Space Research Institute (INPE)
alexandrehsd's Repositories
alexandrehsd/cluster-analysis
An introduction to Cluster Analysis and the K-Means clustering technique.
alexandrehsd/heuristic-search-methods
Implementations of heuristics search methods algorithms developed in the course of Applied Artificial Intelligence from the B.Sc. Computer Engineering at UFRN.
alexandrehsd/handson-ml-notes
Notes and code along plus my solution to the exercises of hands on ML book
alexandrehsd/predicting-pulsar-stars
Predictive model for Pulsar stars using artifical neural networks with the Keras API.
alexandrehsd/regression-analysis
Implementations and statistical considerations about Regression Analysis models such as Simple and Multiple Linear Regression, and Logistic Regression.
alexandrehsd/smiling-detection
A tensorflow implementation of a convolutional neural network for smile detection.
alexandrehsd/wildfires-analysis
Analysis of wildfires from the open dataset provided by brazilian National Space Research Institute (INPE)
alexandrehsd/a-case-study-on-police-behavior-during-traffic-stops-with-pandas
An exploration of a part of the Stanford Open Policing Project dataset and analysis of the impact of gender, hour of day, weather and many other variables on police behavior during traffic stops.
alexandrehsd/client
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
alexandrehsd/splash2-lu_cb
Translation from PThread to OpenMP of the LU (CB) algorithm from the splash2 Benchmark Suite
alexandrehsd/handwritten-digits-recognition
Handwritten digits recognition using the backpropagation algorithm and the MNIST dataset.
alexandrehsd/advance-r-notes
Notes of the 2nd edition of the book Advanced R
alexandrehsd/alexandrehsd
alexandrehsd/asgard
A sustainable development goal classifier that targets scientific publications
alexandrehsd/beaglebone-black-examples
Algorithms and source codes of the projects implemented in the course of Real Time Systems at UFRN.
alexandrehsd/cache-memory-performance-simulator
A simulation of the performance of the three main Cache Memory mapping techniques running by three concurrent processes created with the support of the fork() system call from the POSIX API
alexandrehsd/conformal-prediction-tutorial
alexandrehsd/cv
Alexandre Henrique's CV
alexandrehsd/em-algorithm
EM Algorithm implementation
alexandrehsd/nlp-with-transformers-notes
alexandrehsd/packaging-model
This repository serves the educational purpose for learning how to package an ML model
alexandrehsd/particle-swarm-optimization
Particle Swarm Optimization algorithm in SCILAB
alexandrehsd/plagiarism-detector
alexandrehsd/practical-mlops-notes
My study notes and code developed from what I learned reading Practical MLOps
alexandrehsd/practical-statistics-notes
My study notes from the book Practical Statistics for Data Scientists
alexandrehsd/problem-solving-patterns
Common problem patterns and how to solve them in a more efficient manner.