kushaalrao Goto Github PK

classification-with-iris-dataset

The Iris data set contains a 3 classes of 50 observations each, where each class is a certain type of Iris plant. The goal of this classification algorithm is to classify each observation into a particular species given the data(dimensions of the plant). I used a decision-tree algorithm from scikit learn.

clustering-kmeans

Importing a weather dataset and implementing k-means clustering algorithm

datavisualization

Just playing around with Matplotlib..

decision-trees-in-python

eeg_decoding

Decoding force intended to be exerted on an object using EEG data

email-directory

hello-world

linear-regression-in-python

logistic-regression-in-python

mnist-classification

motor-imagery-decoding

Decoding grip patterns using EEG Data

neuroassist

Brain-Computer Interface for speech and motor impediments

recursivetreevisual

Drawing a tree diagram recursively

sortingalgorithms

Types of sorting methods: BubbleSort, SelectionSort, InsertionSort, MergeSort

spamclassifier-naivebayes

This is a Spam Classifier that classifies a given data set as "spam' or "nonspam." A Naive Bayes classification algorithm was used.

spellcheck-hashsets

The main purpose of this was to familiarize myself with the concept of a hash set. This simple program compares text from two different files and prints out the misspelled words.

textanalyzer

This program parses a given text file and calculates the number of unique words. It can also be modified to print out the occurrence frequency of any given word.

workshops