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2020_election_results

Showcase the use of Machine Learning, Python 3, NumPy, Anaconda, Jupyter Notebook, Pandas, sklearn,TensorFlow, Keras, plotly, hv plot, MySQL, ETL, Postgres/pgAdmin, JavaScript, Tableau in Predicting 2020 US Election Results.

amazon_vine_analysis

Used MapReduce, (NLP) in relation to big data, Google Colab, AWS , Visual Studio Code to Analyze Amazon Vine Reviews

belly_button_biodiversity_dashboard

Using Plotly.js, a JavaScript data visualization library, to create an interactive data visualization for the web. Used familiarity with HTML and basic JavaScript

bikesharing

Import, style, and portray data accurately. Then, created worksheets, dashboards, and stories to visualize key data from a New York Citi Bike dataset, using Tableau.

credit_risk_analysis

Use Python to build and evaluate several machine learning models to predict credit risk for FinTech firms.

cryptocurrencies

Module 18 Unsupervised Machine Learning and Cryptocurrencies

election_analysis

Use the programming language Python to create scripts that read, write, and store data from files or in arrays as well as perform mathematical operations.

kickstarter-analysis

Deep dive into Excel.

klaudio07

My Website

mapping_earthquakes

Use the Leaflet.js Application Programming Interface (API) to populate a geographical map with GeoJSON earthquake data from a URL.

mechacar_statistical_analysis

Extract, transform, and load (ETL) data; visualize the data; and analyze the data using R, to help a car manufacturer.

mission-to-mars

Use BeautifulSoup and Splinter to scrape full-resolution images of Mars’s hemispheres and the titles of those images, store the scraped data on a Mongo database, use a web application to display the data, and alter the design of the web app to accommodate these images.

movies-etl

Using JSQLAlchemy to Perform ETL, Python, Pandas and PostgreSQL to create one function that takes in the three files—Wikipedia data, Kaggle metadata, and the MovieLens rating data—and performs the ETL process by adding the data to a PostgreSQL database.

neural_network_charity_analysis

Module 19

pewlett-hackard-analysis

Organize and query data, especially on a large scale, with SQL to prepare for “silver tsunami” .

portfolio

pyber_analysis

Use Matplotlib to create different types of charts. Also be introduced to SciPy, a statistical Python package, and NumPy to Analyze Pyber Performance.

school_district_analysis.

Use Jupyter Notebook and the Pandas library, to read raw data from CSV files, inspect and clean data, merge datasets, perform mathematical calculations, and visualize the data to tell a story.

stock_analysis

Analyze stocks using Visual Basic for Applications, or VBA, to add even more analytical power to Excel.

surfs_up

Use tools such as SQLite, SQLAlchemy, Flask, Python and Jupyter to analyze temperature and precipitation data for the months of June and December in Oahu, in order to determine business sustainable year-round.

testing

Testing

ufos

Using JavaScript and HTML to modify the code in your index.html file to create more table filters for UFO's landing.

world_weather_analysis

Analyze World Weather and Create a Travel Itinerary using Pandas, Matplotlib, SciPy statistics., Citipy, Weather Map API, Gmaps API and Jupyter Notebook.