miguel75an Goto Github PK

adaboosting-classifier

Machine Learning: Building an AdaBoosting model using Decision Trees as weak learners.

adaline-adaptive-linear-neuron-

Machine Learning: Experimenting with the Adaline model using different number of features from the Iris Flower Dataset. Finding accuracy and discussing the significance of features, variance and bias.

angry-erizo

An unpleasant bot to talk to...for some reason

bag

DataStructure: We create a bag class that uses nodes for each of its elements. Head and tail pointers. Linked Lists.

basicsorting

A look at 3 algorithms for basic sorting.

birdsbonesml

Project

bottlecounter

A simple counter implemented with React

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

fourguys

Updated sign up and login page that connects to the database. Redirects to fbi page

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.

helios

Capstone I - Fall 2017 - Wei

hex-and-rgb-color-comparator

A place to find colors by either Hexadecimal representations or RGB levels.

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.

kingdoms

A game, in development

layers-dragging-dynamics

Playing with layered game objects, new movement mechanics and interactions

learning-pandas

Files following the Pandas tutorial from Data School in Youtube

linear-discriminant-analysis

Data Science: Implementing LDA and comparing it with PCA

lluvia

logistic-regression-iris-dataset

Machine Learning: We apply models of logistic regression to training data and compare our results with test data. We plot bar graphs. Finally, we play with the number of iterations for the models and regularization.

lottery

A lottery simulator which can either generate random numbers or accept the user numbers. If the input numbers match the winning numbers then the user gains money.

numerical-issues

Matlab files related to numerical issues such as interpolation.

perceptron-linear-decision-boundary

Machine Learning: Implement the Perceptron model and plot the linear decision boundary for linearly separable classes and attempt to plot it for non-linearly separable classes. Iris Flower dataset used.

polynomial-fit

Machine Learning: Using Regularization with different parameters. Add power weights.

primenumbers

Program checks for primality using the square root method.

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.