jlozano1990 Goto Github PK

amazon_vine_analysis

Comparing required reviews vs voluntary reviews on Amazon to see the difference in ratings

bikesharing

Show that starting a bikesharing program in Des Moines would be a good investment. This was done by collecting usage data of a similar bikesharing program in NYC.

credit_risk_analysis

Train and evaluate different machine learning models to predict credit risk. We employed different techniques to train and evaluate models with unbalanced classes by using resampling.

cryptocurrencies

Created a report that includes what cryptocurrencies are on the trading market and how they could be grouped to create a classification system for a new investment for an investment bank.

election_analysis

Analysis of voter turnout by counties that participated in election.

kickstarter-analysis

Performing analysis on Kickstarter data to uncover trends

mapping_earthquakes

Display earthquake data in relation to the tectonic plates’ location on the earth and show all the earthquakes with a magnitude greater than 4 on the map, as well as show how the data looks on a third map style.

mechacar_statistical_analysis

Comparing MechaCar Prototype vs competition using linear regression and T-Tests in R to find significant differences.

mission-to-mars

Created a page that would update with new information when we wanted updated news. Created a python script that would go to the website we wanted information from and would pull certain pieces of information as well as images.

movies-etl

Performing ETL on various movie datasets to predict what films would become popular for a streaming service.

neural_network_charity_analysis

Created a deep learning neural network model to create a binary classifier that is capable of predicting whether applicants will be successful if funded by Alphabet Soup.

pewlett_hackard_analysis

Determine the number of retiring employees as well as their title within the company and identify employees who are eligible to participate in a mentorship program.

plotly_deployment

Built an interactive dashboard using Plotly.js to explore data on the biodiversity of bacteria within different test subjects' belly buttons. We then deployed this project on to GitHub Pages so anyone can take a look at it.

portfolio

pyber_analysis

Analysis of ride sharing data based on city where service is used.

school_district_analysis

Analysis of difference between standardized testing scores within a school district after cleaning dataset.

stock-analysis

Perfoming Stock Analysis with VBA

surfs_up

Looking at temperature data in the months of June and December in Oahu, to see if a surf and ice cream shop business would be sustainable year round.

ufos

Providing a more in-depth analysis of UFO sightings by allowing users to filter for multiple criteria at the same time. In addition to being able to apply the date filter, users will be able to filter by the city, state, country, and shape.

world_weather_analysis

Created a page to provide real-time suggestions for PlanMyTrip's clients' ideal hotels. This project involved weather analysis as well as hotel options for the cities PlanMyTrip's clients say they're interested in. Also provided clients with a map of their destinations and a map displaying a suggested itinerary based on their inputs.