edgarhv Goto Github PK

amazon_vine_analysis

belly-button-biodiversity

bikesharing

bikesharing-1

Analysts inspected New York City Citibike data from August 2019 in order to determine if Citibikes would be a good fit for Des Moines, Iowa. The NYC data was analyzed to show trends for times of day, days of the week, gender, starting locations, and ending locations. This analysis required analysts to used Pandas to change the 'tripduration' column from an integer to a datetime datatype. Using the converted datatype, visualizations were created to show the length of time the bikes are checkout for all riders and genders, show the number of bike trips for all riders and genders for each hour of each day of the week, show the number of bike trips for each type of user and gender for each day of the week, top starting locations, and top ending locations.

bikesharing-2

Module 14 Bootcamp

credit_risk_analysis

credit_risk_analysis-1

Evaluate the performance of multiple machine learning models using sampling and ensemble techniques and making a recommendation on whether they should be used to predict credit risk.

cryptocurrencies-

election_analysis

Python election analysis

election_analysis-1

Module 3: PyPoll with Python.

github-slideshow

A robot powered training repository :robot:

individual-self-assessment

kickstarter-analysis

Performing analysis on kickstarter data

mapping_earthquakes

mechacar_statistical_analysis

mission-to-mars

web-scraping project

movies-etl

neural_network_charity_analysis

pewlett-hackard-analysis

SQL

predicting-football-soccer-using-a-machine-learning-model

Project Roadmap

pyber_analysis

Starting at PyBer

quickdemoapp

This is a quick demo app

r_analysis

s

school_district_analysis

PyCitySchools with Pandas

ss

stock_analysis

UT Data Boot Camp Module 2 Challenge using Excel VBAs for analytics

surfs_up

textmarker

🖍 Text Marker (Highlighter) highlights words in Sublime Text

ufos

JavaScript