dhanushree27 Goto Github PK

amazon_vine_analysis

Determination of positivity bias of Amazon reviews dataset with 2.5 million data-points using PySpark

belly-button-biodiversity

A web-based dashboard developed using JavaScript, Plotly, Bootstrap and HTML, hosted on GitHub pages that provides the user with the ability to select and view a candidate’s bacterial biodiversity for samples collected from the belly button.

bikesharing

An interactive Tableau dashboard that can be used to understand how ride-sharing works in NYC, with provisions for interpreting bike utilization.

credit_risk_analysis

Identification of a supervised machine learning model to predict credit risk from an imbalanced dataset using the imblearn library

cryptocurrencies

K Means clustering of cryptocurrencies to group them based on algorithm, proof type and usage

election-analysis

kickstarter-analysis

Performing analysis on Kickstarter campaign data to identify trends

leaflet-groupedlayercontrol

Leaflet layer control with support for grouping overlays together.

life-expectancy-study

A comprehensive project involving ETL, profiling, statistical analysis, machine learning, supported by an interactive dashboard

mapping_earthquakes

mechacar_statistical_analysis

mission-to-mars

movies-etl

Extraction, Transformation and Load (ETL) of movies dataset extracted from Wikipedia and Kaggle, using Pandas dataframes

neural_network_charity_analysis

Deep learning model to create a binary classifier that helps to identify charities to invest in, based on whether the applicant will be successful or not if funded by the foundation.

pewlett-hackard-analysis

Postgres and pgAdmin

plotly_dashboard

pyber_analysis

Implemented a python module to analyze cab ride data across different city types to identify recommendations that can be shared with cab companies.

school_district_analysis

Python Pandas

stock-analysis

surfs_up

SQLite, SQLAlchemy, and Flask

ufos

world_weather_analysis

Developed a python code that provides travel suggestions based on the user's weather preference. The results are visualized on Google Maps component for user interaction.