Jacob Evans's repositories
belly-button-microbe-diversity-dashboard
Ever care to see how much bacteria inhabits the human navel? In this project, I built an interactive dashboard to explore the belly button biodiversity, which catalogs the microbes that colonize human navels.
city-school-district
The purpose of this project was to analyze my city's school district in order to help the school board and mayor make strategic decisions regarding future school budgets and priorities.
credit-risk-classification
In this project, I used a dataset containing the historical lending activity from a peer-to-peer lending services company to build a model that can identify the creditworthiness of borrowers.
CryptoClustering
The main objective of this project was to explore, evaluate and discover valuable insights, by leveraging the power of unsupervised learning to predict if cryptocurrencies are affected by 24-hour or 7-day price changes.
home-sales
By leveraging Spark SQL, I performed various transformations, aggregations, and calculations on the home sales data to extract valuable insights and key metrics.
honolulu-climate-analysis
I decided to treat myself to a long holiday vacation in Honolulu, Hawaii. To help with my trip planning, I decided to do a climate analysis about the area.
leaflet-seismic-map
The USGS is interested in building a new set of tools that will allow them to visualize their earthquake data. They collect a massive amount of data from all over the world each day, but they lack a meaningful way of displaying it. In this project, I built a map to visualize USGS data which could be a useful resource for education purpose.
mars-webscraping
This project focuses on full web-scraping via both automated browsing with Splinter and HTML parsing with Beautiful Soup and data analysis using Pandas..
nba-player-points-prediction
I worked as part of a team in this project with a goal to predict the points for basketball player for the upcoming season using machine learning techniques.
NFL-dashboardbuild
I collaborated with a team of colleagues to build a dashboard that displays the overall Team and Athlete details for the year 2022 and also presents visualizations for teams performance statistics from 2002 onwards to 2023.
nosql-UK-food-standards
I implemented CRUD operations on ratings of some food establishments in the UK to provide insights about their hygienic conditions.
Pewlett-Hackard-employees
For this project, I designed tables to hold the data from the CSV files, imported the CSV files into a SQL database, and then queried the database for some specific information the data.
Funding-recommendation-engine
With my knowledge of machine learning and neural networks, I utilized the features in the provided dataset to create a binary classifier that can predict whether applicants will be successful if funded by Alphabet Soup.
Pymaceuticals
The purpose of this project was to compare the performance of Pymaceuticals’ drug of interest, Capomulin, against the other treatment regimens.
xlxs_analysis
Challenge 1-crowdfunding excel analysis
Customers-satisfaction
The goal of this project is to predict if a customer is happy or not based on the answers they give to the interview questions asked.