Miguel Dominguez's repositories
Angry-Erizo
An unpleasant bot to talk to...for some reason
BottleCounter
A simple counter implemented with React
Sequence2Sequence
A model composed of LSTM networks for machine translation.
To-Do-List
A to-do-list implemented with React
BirdsBonesML
Project
GradientWeather
A project built with React to implement a simple weather app. The app displays the high and low temperatures for five days, the current weather condition, the time, a dynamic weather icon and a gradient background.
HungryPenguin
A really mini game where a hungry penguin tries to eat a fish village. But octo and crab will try to fight back.
Japanese-ToolTips
Small project using React to create tool-tips for Japanese characters and words. As well, we make use of the <ruby> and <rt> tags and use them in a React class to implement furigana readings.
yelp-factbook
A Yelp Factbook based on the company's user reviews dataset
AdaBoosting-Classifier
Machine Learning: Building an AdaBoosting model using Decision Trees as weak learners.
ComparingSVMandLogisticRegression
Data Science: Implementing SVM models against Logistic Regression models. Pick data set.
Decision-Trees
Machine Learning: Building Decision trees to classify data. Visuals to explore the depth of the trees and class leaves.
ExperimentingWithData
Experimenting with nyc_restaurants.csv dataset
HEX-and-RGB-Color-Comparator
A place to find colors by either Hexadecimal representations or RGB levels.
Layers-Dragging-Dynamics
Playing with layered game objects, new movement mechanics and interactions
Linear-Discriminant-Analysis
Data Science: Implementing LDA and comparing it with PCA
Numerical-Issues
Matlab files related to numerical issues such as interpolation.
Polynomial-Fit
Machine Learning: Using Regularization with different parameters. Add power weights.
Random-Forests-with-Iris-Data
Machine Learning: Building Random Forests with Decision Trees using different depths and forest sizes. As well, learning more about bootstrapping and out-of-bag scores.
Regression-Models
Machine Learning: Implementing regression models
Rotating-and-Limiting-Objects
Initial scripts for object manipulation.
SVM-Kernels
Machine Learning: Learning SVM Kernels, margin maximization, kernel functions and mapping to bigger dimensionalities.
The-Moon-Light-Express
CSc 33600 - Database Project: RailRoad System
The-Shape-of-Things
Combining the shape of things based on tags and keywords in searches