s-bonillas Goto Github PK

012_nosql_food_standards

Analysis of Hygiene Ratings for UK Restaurants using PyMongo, Pandas, and MongoDB

014_javascript_ncsu_biodiversity

Utilizing JavaScript (Plotly) to create Interactive Dashboards for the data collected by the Belly Button Biodiversity Project, conducted by North Carolina State University.

015_usgs_heatmaps

Leaflet mapping visualizations for USGS datasets. The heatmaps display the locations, intensity, depth, magnitude, and frequency of earthquakes across the globe.

018_tableau_citibike

CitiBike Data Visualized Via Tableau

019_unsupervised_pycurrency

Unsupervised Machine Learning, using Clustering (K-Means) in Python, to analyze Cryptocurrencies.

020_pyloan_supervised_learning

Using Supervised Learning to evaluate loan risk and determine creditworthiness.

021_pyfunding_deep_learning

Using Neural Networks and Machine Learning to create a binary classifier to predict the success of funding applicants.

022_pyhomes_sparksql

Using SparkSQL to create temporary views, partition data, cache & uncache temporary tables, and verify that tables have been uncached.

image_recognition_for_microplastics

Using Machine Learning, Image Recognition, and Computer Vision to detect microplastics in water samples.

mod010_surfinsql

mod011_marsscraping

Martian News and Weather HTML Webscraping in Python

mod1-clever-naming

Kickstarter Analysis and Excel Demonstration

mod2-vba-stock-analysis

VBA Demonstration

mod3-python-bank-and-poll

Financial analysis via Python.

mod4-school-district-analysis

Panda analysis of school district data.

mod5-pharma-analysis

mod6-api-weather-analysis

API PyWeather Analysis

mod9-sql_pewlett_hackard

p1-pycrimes_and_misdemeanors

Tracking the rate of non-violent crimes in the US from 2010 to 2020, using Python code and visualizations. Data is sourced via API from the FBI Crime Data Explorer and CSV from the US Census Bureau. Data is analyzed in both total numbers and per capita. Visualizations are in Line, Bar, and Scatter Graphs; as well as HvPlot maps.

p2_crowdfunding_etl

ETL demonstration in Python and PostgreSQL

p3_nobel_pyze

Analysis of Nobel Prize winners from 1901 to 2023.

p4_aqpy

Using Machine Learning to predict future US Air Quality Index values.