subhasushi Goto Github PK

26-weeks-of-data-science

Email Newsletter

api---homework

belly-button-diversity

Plotly.js is a JavaScript library for data visualization. This is an interesting dataset on the bacteria present in human belly button. I have used Flask to render and visualize the dataset on a webpage.

company_reviews_sentiment_analysis

Vader is a simple python library used for sentiment analysis. Sentiment analysis was done on a dataset which consists of detailed employee reviews on their companies.

data_storage_retreival_hw

google_playstore_apps

This is a simple Exploratory Data Analysis of Google Play Store Apps Dataset from Kaggle. I have used seaborn for the visualization

heroku

heroku_test

html_css_bootstrap

Webpage on climate analysis

kiva_analysis

Kiva is a crowdfunding, non-profit organization with a mission to connect people through lending to alleviate poverty. This dataset from Kaggle is analyzed to get more insights on Kiva loans.

mission-to-mars

Web data extraction is used for extracting data from external websites. In this assignment, 5 different websites are scraped and the results are stored in MongoDB. Flask application is then used to render the scraped data to a HTML webpage.

my_first_twitter_bot

mysql_homework

pandas-pyschoolanalysis

Pandas is a powerful data analysis Python library. I have used Pandas Framework to analyse a dataset on schools and students.

project_dataanalysis

project_meetup

Meetup is an online platform to connect people who share similar interests. In this project, meetup api was used to collect data on various meetup events (in US) and was analyzed to see how socio-economic factors influence the way people socialize.

python---matplotlib

python-challenge

Python Homewrok submission

resume

subhasushi.github.io

test

thinkstats2

Text and supporting code for Think Stats, 2nd Edition

twitter---distinguishing-sentiments

ufo-sightings

JavaScript is one of the core technologies which is used in most of the World Wide Web Content Engineering. I have used JavaScript in this assignment to render a webpage containing UFO-Sightings in the US.

weather_webpage