Support Vectors II
In this project I test SVM on facial expression data: https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge. Here I only deal with two label classes: Happy and Angry....
k-Means
In this project we begin unsupervised ML with K-means clustering....
NLP
In this project we employ Sklearn's pipelines to compare performances two robust models for NLP : Multinomial Naive Bayes and the Random Forests....
Support Vectors
In this project we utilize SVM to evaluate ML performanceson IRIS image dataset. The Data: Iris flower data set. The data set consists of 50 samples from each of three species of Iris (Iris setosa, Iris virginica and Iris versicolor), so 150 total samples. Four features were measured from each sample: the length and the width of the sepals and petals, in centimeters. Here's a picture of the three different Iris types:...
K – Nearest Neighbors
In this project we try out the most common Nearest neighbors technique: K-NN....