Pinned Repositories
bikesharing
Credit_Risk_Analysis
Created a supervised machine learning model in order to accurately predict credit risk.
Cryptocurrencies
Used PCA in order to process data and have it fit an unsupervised machine learning model that employs a clustering algorithm.
Election_Analysis
Audit/analysis of election results for an election commission in order to provide them with the voter turnout for each county, the percentage of votes from each county of the total count and identify the county with the highest turnout.
Environmental-Factors-and-Effects-on-Human-Well-Being-and-Happiness
By looking at the environmental variables of countries, we try to predict the Life Ladder target variable from the World Happiness Index using data visualization and machine learning algorithms.
FPS-Demo
A first person shooter/platformer game coded in C# using Unity 3D. Features original textures, SFX and music.
Mapping-Earthquakes
Visualized earthquake data in relation to tetonic plate locations. Ceated using JavaScript's leaflet and d3 libraries, mapbox api, and geoJson data gathered from usgs.gov.
MechaCar_Statistical_Analysis
Performed multiple linear regression analysis, collected summary stats, ran t-tests to determine statistical difference, and designed a statistical study in R.
Neural_Network_Charity_Analysis
Used features in a provided dataset in order to create a binary classifier that is capable of predicting whether applicants will be successful if funded by Alphabet Soup.
UFO-Analysis
namlani's Repositories
namlani/FPS-Demo
A first person shooter/platformer game coded in C# using Unity 3D. Features original textures, SFX and music.
namlani/Environmental-Factors-and-Effects-on-Human-Well-Being-and-Happiness
By looking at the environmental variables of countries, we try to predict the Life Ladder target variable from the World Happiness Index using data visualization and machine learning algorithms.
namlani/bikesharing
namlani/Credit_Risk_Analysis
Created a supervised machine learning model in order to accurately predict credit risk.
namlani/Cryptocurrencies
Used PCA in order to process data and have it fit an unsupervised machine learning model that employs a clustering algorithm.
namlani/Election_Analysis
Audit/analysis of election results for an election commission in order to provide them with the voter turnout for each county, the percentage of votes from each county of the total count and identify the county with the highest turnout.
namlani/Mapping-Earthquakes
Visualized earthquake data in relation to tetonic plate locations. Ceated using JavaScript's leaflet and d3 libraries, mapbox api, and geoJson data gathered from usgs.gov.
namlani/MechaCar_Statistical_Analysis
Performed multiple linear regression analysis, collected summary stats, ran t-tests to determine statistical difference, and designed a statistical study in R.
namlani/Neural_Network_Charity_Analysis
Used features in a provided dataset in order to create a binary classifier that is capable of predicting whether applicants will be successful if funded by Alphabet Soup.
namlani/UFO-Analysis
namlani/kickstarter-analysis
Analysis on Kickstarter data to uncover trends. Excel functions, pivot tables and pivot charts are used for modelling and visualizations.
namlani/Mission-to-Mars
namlani/movies-ETL
namlani/namlani
Config files for my GitHub profile.
namlani/namlani.github.io
namlani/Pewlett-Hackard-Analysis
SQL queries to provide two deliverables from excel data.
namlani/plotly_deployment
namlani/PyBer_Analysis
namlani/School_District_Analysis
namlani/stock-analysis
Refactored existing VBA code in order to loop through and collect analysis information of a provided stock market dataset, and determined whether the refactored code made the VBA script run faster.
namlani/surfs_up
Temperature data for the months of June and December in Oahu, in order to determine if the surf and ice cream shop business is sustainable year-round.
namlani/WeatherPy
Retrieve Weather Data using OpenWeatherMap API and create a customer travel destinations map and travel itinerary map using Google Maps APIs.