karla-flores Goto Github PK

api--cryptodb

This project aims to do API calls to crypto documentation for detailed examples of the various functionality offered, such as receiving real-time market data, requesting balance information, and performing trades.

arrests-predictor

This group project aims to predict the arrest of different types of crime given a specific input (day/ location/etc.) using machine learning models.

big-data

bootstrap-5-dark-theme

Dark mode / dark theme template. Built with the latest Bootstrap 5 & Material Design.

chicago-crime-visualizing-data

Interactive Historical crime data visualizations of Chicago City from 2010 to 2020.

cryptocurrency-clusters--unsupervised-machine-learning

This report is generated of what cryptocurrencies are available on the trading market and how they can be grouped using classification.

data-science-challenge

Data Science Intern Challenge Resources

excel-analysis---kickstarted-campaigns

Excel-based analysis of kickstarted campaign analysis, visualized through pivot tables, graphs, and conditional formatting.

interactive-web-visualizations

Interactive dashboard to explore Belly Button Biodiversity dataset using Plotly.js and Flask.

kucoin-api-docs

KuCoin API Docs

leaflet

Interactive dashboard to explore Belly Button Biodiversity dataset using Plotly.js and Flask.

leaflet.markercluster

Marker Clustering plugin for Leaflet

lego--relational-database

matplotlib

This project compares the performance of Pymaceuticals' drug of interest, Capomulin, versus the other treatment regimens. Tables and figures were generated for the technical report of the study, and a top-level summary of the study results was also created.

media_happinessindex

Does Netflix have an impact on your media Happiness index? This data analysis looks forward to establishing a correlation between the Happiness index and Netflix subscriptions.

neural-network--charity-donation

Deep-Learning neural network to analyze and classify the success of charitable donations.

open-science-data-challenge

Let's build a more sustainable future. Using satellite imagery, data, algorithms, and machine learning to help solve some of the world's most pressing issues.

pandas

A report worked on Pandas that breaks down the game's purchasing data into meaningful insights.

predicting-credit-risk--supervised-machine-learning

A project that applies machine learning to solve a real-world challenge: what cryptocurrencies are available on the trading market and how they can be grouped using classification.

python

This project consists of two challenges: PyBank and PyPoll. In both challenges, Python script was written to analyze a company's financial records (PyBank) and modernize a small-town vote-counting process by analyzing votes.

python-api

This project is in two parts. First, WeatherPy visualizes the weather of 500+ cities across the world of varying distances from the equator, using Python script, CityPy, and OpenWeatherMap APIs. The second part, VacationPy, uses Jupiter-Gmaps and the Google Places API to create a heatmap and filter down cities.

sql

This project involved Data Engineering and Data Analysis. I designed the tables to hold data from 6 CSV files, imported the CSVs into a SQL database using PostgreSQL, and wrote SQL queries to answer the given questions. A bonus analysis included creating some charts to analyze employee salary data.

sql-generate-insert

INSERT statement(s) generator

sqlalchemy

This project uses Python and SQLAlchemy to perform a fundamental climate analysis and data exploration of a climate database. Using this analysis, a Flask API was also created.

tableu

A dashboard of City Bike System Data from January to December 2020.

vba

This project uses VBA scripting to analyze real stock market data.

web-design

A project that implements HTML and CSS to create a weather dashboard displaying all the visualizations.

web-scraping

A web application scrapes various websites for the Mission to Mars data and displays the information on an HTML page.