Pinned Repositories
Amazon_Vine_Analysis
Using Python on Google Colaboratory, analysis on the Amazon Vine program was created. Data extracted from AWS' S3 buckets, extracted and loaded on SQL.
Belly-Button-Biodiversity-Dashboard
Using JavaScript, a live dashboard with test samples of belly button bacteria was created. With the selection of each sample option, interactive plotly charts are ready to showcase analysis.
Bikesharing
Real data derived from bike-sharing program in NYC to imitate similar business model for another city. Tableau used to extract, identify and visualize data for better decision making.
Covid19_PHU
An exploratory analysis and ML model for Covid-19 cases in Ontario Public Health Units. It highlights current and predicts future, higher number of cases in a specific age group and gender. This analysis will assist in a planned execution of a vaccine roll out program that would be based on hierarchal priorities. It is an SOP that can be imitated for future epidemics and pandemics.
Credit_Risk_Analysis
Supervised machine learning algorithms to analyze credit risk applications. using Python.
Cryptocurrencies
Unsupervised machine learning models to identify best cryptocurrency to invest in.
Elections_Analysis
Generating vote count to identify percentages for each county, candidates and overall turnout.
MechaCar_Statistical_Analysis
Statistical analysis identifying production obstacles for new car prototype. Summary results based on linear regression metrics, p-value, r-squared value and T-tests.
Neural_Network_Charity_Analysis
Neural Network modeling on Python. Identifying the best model to get most optimized precision accuracy and predict the success of corporate donations made.
Pewlett_Hackard_Analysis
Database created on SQL, queried and analyzed to identify retirees and new recruits and the benefits for a corporation.
taranahassan's Repositories
taranahassan/Amazon_Vine_Analysis
Using Python on Google Colaboratory, analysis on the Amazon Vine program was created. Data extracted from AWS' S3 buckets, extracted and loaded on SQL.
taranahassan/Belly-Button-Biodiversity-Dashboard
Using JavaScript, a live dashboard with test samples of belly button bacteria was created. With the selection of each sample option, interactive plotly charts are ready to showcase analysis.
taranahassan/Bikesharing
Real data derived from bike-sharing program in NYC to imitate similar business model for another city. Tableau used to extract, identify and visualize data for better decision making.
taranahassan/Credit_Risk_Analysis
Supervised machine learning algorithms to analyze credit risk applications. using Python.
taranahassan/Cryptocurrencies
Unsupervised machine learning models to identify best cryptocurrency to invest in.
taranahassan/Elections_Analysis
Generating vote count to identify percentages for each county, candidates and overall turnout.
taranahassan/keras-tuner
Hyperparameter tuning for humans
taranahassan/Mapping_Earthquakes
Creating map with multiple layers and tiles showcasing real data earthquakes using JavaScript and HTML.
taranahassan/MechaCar_Statistical_Analysis
Statistical analysis identifying production obstacles for new car prototype. Summary results based on linear regression metrics, p-value, r-squared value and T-tests.
taranahassan/Mission-to-Mars
Web scraping project using BeautifulSoup and Splinter modules in Python. Displayed on a Flask web application.
taranahassan/Neural_Network_Charity_Analysis
Neural Network modeling on Python. Identifying the best model to get most optimized precision accuracy and predict the success of corporate donations made.
taranahassan/Pewlett_Hackard_Analysis
Database created on SQL, queried and analyzed to identify retirees and new recruits and the benefits for a corporation.
taranahassan/School_District_Analysis
Using Python on Jupyter Notebooks, school data analyzed for budgeting and allocating.
taranahassan/World_Weather_Analysis
Vacation app helps users plan trip based on weather. This analysis was done using Google Maps and Open Weather Map API Keys.
taranahassan/Covid19_PHU
An exploratory analysis and ML model for Covid-19 cases in Ontario Public Health Units. It highlights current and predicts future, higher number of cases in a specific age group and gender. This analysis will assist in a planned execution of a vaccine roll out program that would be based on hierarchal priorities. It is an SOP that can be imitated for future epidemics and pandemics.
taranahassan/basic-git-commands
[TUTORIAL] Explanation of basic git commands for students.
taranahassan/Best-README-Template
An awesome README template to jumpstart your projects!
taranahassan/Employment_Statistics
taranahassan/Kickstarter-Analysis
Analysis on Kickstarter data for a crowd funding campaign. Charts done on pivot tables and charts in Excel.
taranahassan/markup
Determines which markup library to use to render a content file (e.g. README) on GitHub
taranahassan/Movies-ETL
Extracting and transforming and automating the process by refactoring code. Data then loaded onto SQL.
taranahassan/Portfolio
Professional portfolio using HTML coding. Deployed via github-pages
taranahassan/PyBer_Analysis
Python based ride-sharing app data analyzed for understanding rider vs. driver vs. city type ratios.
taranahassan/Stock-Analysis
Analysis on the Green Energy stocks for investment decisions. Using Excel and VBA to automate the analysis.
taranahassan/Surfs_up
Weather analysis to convince investors on a business proposition. Data queried and showcased on SQLite.
taranahassan/UFOs
Using UFO data and creating an interactive webpage using JavaScript.