luispsalazar Goto Github PK
Name: Luis P. Salazar
Type: User
Company: FDM Group
Location: Mount Laurel, NJ
Name: Luis P. Salazar
Type: User
Company: FDM Group
Location: Mount Laurel, NJ
This performs ELT on Amazon's "Musical Instruments" reviews, checking for possible bias of the paid reviewers.
"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.
Analysis using Microsoft Excel
Six machine learning models are evaluated to predict "credit risk". Undersampling, oversampling and a combination of both models are used.
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.
For Phyton exercises
Machine Learning using PySpark in Google Colab, dataset from Kaggle's 2019 delayed flights
Perform analysis on Kickstarter fundraising campaign to uncover trends
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.
The "MechaCar_Statistical_Analysis" performs multiple linear regression analysis to identify which variables in the dataset predict the mpg of MechaCar prototype
“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.
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.
HR analysis
“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.
Ride-sharing Analysis
Module 4 Challenge
Automation - website testing
Module 2
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
Exercises
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.