aashika Goto Github PK

analyze-chopstick-length

Analysis of the given dataset using preliminary statistics.

android-layout

Lets you experiment with Android Layout XML

android-ocr

Experimental app for optical character recognition on Android.

apac-hackathon

APAC Hackathon Files

cardio-hack

heart-fi

image-sharer-aashika

image-sharer-aashika created by GitHub Classroom

leetcode-problems

Code for every Leetcode problem solved by me

material-design-101

Sample apps demonstrating material design

miniature-eureka

mobiledigitizer

This project is still under development.

numerical-python-book-code

p1-test-a-perceptual-phenomenon

This project demonstrates the use of descriptive statistics and a statistical test to analyze the Stroop effect, a classic result of experimental psychology. The conclusion drawn is on the basis of statistical inference.

p2-investigate-a-dataset

This project is an investigation of the Titanic passenger dataset using NumPy and Pandas. It illustrates the entire data analysis process, from posing the relevant questions to finishing by sharing my findings on the same.

p3-wrangling-openstreetmap-data

p4-explore-and-summarize-data

Applied exploratory data analysis techniques to explore the Titanic data set for distributions, outliers, and anomalies using R

p5-identify-fraud-from-enron-email

The goal of this project is to analyze the Enron dataset and make use of machine learning to label the people in the dataset as person of interest (when they happen to be a poi).

p6-data-visualization-using-dimple.js

Created a data visualization from the Titanic data set that highlights trends or patterns in the data using dimple.js

p7-design-an-a-b-test

Made design decisions for an A/B test, including which metrics to measure and how long the test should be run. Analyzed the results of an A/B test that was run by Udacity and recommended whether or not to launch the change.

rep-

scientific-python-lectures

Lectures on scientific computing with python, as IPython notebooks.

scipy15

Code snippets from the sessions: IPython, NumPy, SciPy, MPL Introduction by Jarrod Millman & Prof. Prabhu Ramachandran Symbolic computation with Python, SymPy

sparrow

Sparrow scheduling platform (U.C. Berkeley).

sunshine-version-2

The official repository for Developing Android Apps

teamhackoverflow

Hackathon Project

tesseract

Tesseract Open Source OCR Engine (main repository)

tutorials

weed

Analysing Weed Pricing across US - Data Analysis Workshop