memanuel0109 Goto Github PK
Name: Matthew Emanuel
Type: User
Company: Marshall Associates
Bio: Just curious...
Location: Chicago
Name: Matthew Emanuel
Type: User
Company: Marshall Associates
Bio: Just curious...
Location: Chicago
Machine learning model built to determine who banks should lend money to
Here I explored the 1994 U.S. Census Data to gain perspective on how race and education impact the ability to make over $50,000 (equivalent to $88,000 today) annually.
Bayesian optimization documentation
Predicting cigarette sales for Cowboy Cigarettes using ARIMA models
Computing distance using the Euclidean and Manhattan methods
Using Cosine similarity to compute how similar two articles are to each other
Maintaining the most up to date data to derive insight can be challenging. For this project, I will show you how to connect to an API that supplies the most up to date COVID-19 data. Then we will plot the data and display it on our own personally hosted website for the world to see.
Used a variety of unsupervised learning methods to cluster customers based on their response to an offer made by a wine company.
Built models using KNN and random forest and tuned their hyperparameters with Grid-SeachCV
Uses customer data for a coffee company to justify business decisions using decision trees and ensemble methods
Fortune 500 company lists since 1955 in CSV format, mostly parsed using Beautiful Soup
Statistics EDA Case Study
Here I have built machine learning model to predict Big Mountain Ski Resort's ticket prices in order to offset the cost of the recently installed ski chair.
Explore logistic regression model in classification
Exploratory data analysis to determine which popular platform sells the best quality apps
Evaluate the average housing in England's 32 boroughs to determine which ones have experienced the greatest growth over the past 2 decades.
Are you getting a good deal on that apartment you are ready to buy? In this project, I build a machine learning model to predict housing prices in Chicago. The data used can be found in this link (https://www.kaggle.com/austinreese/usa-housing-listings) containing 388,497 data entries on housing prices across the U.S. I narrow down my model to predict apartment prices in Chicago. So let's see if you are getting a good deal.
Create HTML profiling reports from pandas DataFrame objects
Here I will look at real LASIK and PRK surgery data to determine which methods can be used to improve patient outcomes
Take-home challenge for Relax Inc.
CNN for retina images
A user-based collaborative recommendation system for rock climbing routes
-- hold
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.