Ahirton Lopes's Projects
ABSTRACT: Student dropout is of the utmost concern in higher education and machine learning techniques have become a powerful tool for proactively identifying students at-risk of dropping out. Data from more than 17,000 National University students were used to train nine machine learning algorithms to predict first-year dropout under four conditions, thus resulting in thirty-six models. The algorithms included were Logistic Regression, Naïve Bayes, Neural Networks, k-Nearest Neighbor, Support Vector Machine with linear and polynomial kernels, Decision Tree, Random Forest, and XGBoost. Modeling conditions varied with regard to class balancing and feature reduction. Models were evaluated based on ROC area and accuracy. Ensemble tree-methods XGBoost and Random Forest were superior across all modeling conditions. Overall, class balancing and feature reduction did not improve model performance. Feature importance was examined and many novel features proved to be useful for dropout prediction. Recommendations for
Config files for my GitHub profile.
ARIMA forecasts on the AirPassengers dataset built in Python and Tableau
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
A basic chatbot backend implementation using API-AI (Dialogflow)
Association rule mining with Apriori Algorithm. Implemented in Python . Used hash trees to optimize Apriori's performance.
Artificial Neural Network applied to improve Marketing ROI
Udacity autonomous driving car nanodegree projects
Aviation On-Time Performance Analysis
:sunglasses: Curated list of awesome lists
A curated list of awesome 3D printing resources
:file_folder: #AISecurity
A curated list of analytics frameworks, software and other tools.
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.
A curated list of awesome big data frameworks, ressources and other awesomeness.
🇧🇷 - :metal: Curadoria de blogs em português brasileiro sobre desenvolvimento
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome Deep Learning tutorials, projects and communities.
The most cited deep learning papers
Everything Deepfakes
Deep Learning and deep reinforcement learning research papers and some codes
:pill: Curated list of falsehoods programmers believe in.
A curated list of awesome Go frameworks, libraries and software
A collection of various awesome lists for hackers, pentesters and security researchers
A curated list of amazingly awesome Hadoop and Hadoop ecosystem resources
Awesome List of resources on leading people and being a manager. Geared toward tech, but potentially useful to anyone.
A curated list of awesome Machine Learning frameworks, libraries and software.
:octocat: Machine Learning for Cyber Security
:book: A curated list of resources dedicated to Natural Language Processing (NLP)