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amazon_vine_analysis

This performs ELT on Amazon's "Musical Instruments" reviews, checking for possible bias of the paid reviewers.

bikesharing

"Bikesharing" analyzes New York City's Bikesharing data, to assess if this business model could be replicated in Des Moines. The rides are sorted and filtered by duration, hour, day, gender, user-type, start and end-locations.

challenge1

Analysis using Microsoft Excel

credit_risk_analysis

Six machine learning models are evaluated to predict "credit risk". Undersampling, oversampling and a combination of both models are used.

cryptocurrencies

The dataset is processed to fit the machine learning models. Since there is no known output, an unsupervised learning is used. To group the cryptocurrencies, a clustering algorithm was selected.

election_analysis

For Phyton exercises

flight_delay_predictor

Machine Learning using PySpark in Google Colab, dataset from Kaggle's 2019 delayed flights

kickstarter-analysis

Perform analysis on Kickstarter fundraising campaign to uncover trends

mapping_earthquakes

Mapping_Earthquakes creates an interactive visualization of USGS' earthquake data, by latitude and longitude. Data markers for each earthquake show the magnitude as text, and as colored circles, where the size and color are larger and darker as the magnitude increases. Popups show additional information for each earthquake, like city, state, date and time. The color in the legend reflects the magnitude. The tectonic plates are also shown in the map, if selected.

mechacar_statistical_analysis

The "MechaCar_Statistical_Analysis" performs multiple linear regression analysis to identify which variables in the dataset predict the mpg of MechaCar prototype

mission-to-mars

movies_etl

“Movies_ETL” creates an automated pipeline that takes in new movies data (Wikipedia, MovieLens and Kaggle), performs the appropriate transformations, and loads the data into existing tables. The code is refactored to optimize the computing time, without compromising the process or results.

neural_network_charity_analysis

Using the features of the provided dataset, a binary classifier was developed, capable of predicting whether applicants will be successful or not, if funded by Alphabet Soup.

pewlett-hackard-analysis

HR analysis

plotly_deployment

“plotly_deployment” produces a mobile-responsive dashboard (Bars, Bubble and Gauge charts) to visualize bacterial data from several volunteers’ belly buttons, the top 10 bacterial species are displayed.

pyber_analysis

Ride-sharing Analysis

school_district_analysis

Module 4 Challenge

selenium_automation_testing

Automation - website testing

stock-analysis

Module 2

surfs_up

Builds database structures and querying methods using SQLite, SQLAlchemy, and Flask. It also writes and execute Python code in a Jupyter notebook to create graphs

ufos

world_weather_analysis

Exercises