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Name: Harvey Benjamin Smith
Type: User
Bio: Data Analyst
Location: Austin, TX
Name: Harvey Benjamin Smith
Type: User
Bio: Data Analyst
Location: Austin, TX
One of the most controversial issues in the U.S. educational system is the efficacy of standardized tests, and whether they're unfair to certain groups. Given our prior knowledge of this topic, investigating the correlations between SAT scores and demographics might be an interesting angle to take. We could correlate SAT scores with factors like race, gender, income, and more. The SAT, or Scholastic Aptitude Test, is an exam that U.S. high school students take before applying to college. Colleges take the test scores into account when deciding who to admit, so it's fairly important to perform well on it. The test consists of three sections, each of which has 800 possible points. The combined score is out of 2,400 possible points (while this number has changed a few times, the data set for our project is based on 2,400 total points). Organizations often rank high schools by their average SAT scores. The scores are also considered a measure of overall school district quality. New York City makes its data on high school SAT scores available online, as well as the demographics for each high school.
Machine learning model using TPOT library to find the most optimal model for predicting a clients annual medical expenses in order to lead to decisions on premium pricing
This project uses an apriori algorithm from supermarket transaction data from a store in France to recommend product placement for higher sales revenue
Using a Neural Network to analyze why a percentage of customers are leaving a bank
My personal professional portfolio
An exploratory analysis in R of the different variables involved in the purchasing patterns of consumers on Black Friday in three different kinds of cities
Data, code, and scripts for the analysis in the Mode blog.
calculate a regression line to predict head size vs. brain weight.
This repo contains a dataset of CIA statements and a python file containing a function finding the most common words with a length greater than 5 and takes a year as input
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
Streamlit webapp featuring a machine learning classification model for positive or negative for diabetes based on dataset of the Pima Indians
A real time map of earthquake data pulled from USGS
Classifying customers as either good or bad for loans based and dealing with minority classes in classification
Exploratory data analysis of gun related deaths in the United States from 2012 - 2014
This report stores my Pyspark code for me practicing using Spark with the pyspark library using a cluster setup on Hadoop. I then use the ALS library to set up a simple user-based recomedation engine
A collection of machine learning projects I have done
A practice exercise of pandas to do analysis of data on students
This simple exploratory analysis was just a chance for me to play around with a large dataset to display and stock data using PySpark DataFrames.
This was an exercise working with dates in Spark using data on rainfall
Some small projects using python to do data analysis
Collection of less popular features and tricks for the Python programming language
Machine learning project using a comparison of different models for predicting potential employee salaries
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.