harveybsmith Goto Github PK

24_hour_gyms

analyzing_nyc_highschool_data

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.

annual_medical_bill_predictor

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

apriori-recommendation-algortihm-for-supermarket-transactions-

This project uses an apriori algorithm from supermarket transaction data from a store in France to recommend product placement for higher sales revenue

bank-churning-neural-net

Using a Neural Network to analyze why a percentage of customers are leaving a bank

baseball_project

bensmithportfolio

My personal professional portfolio

black_friday_analysis_r

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

blog

Data, code, and scripts for the analysis in the Mode blog.

brainsize_machine_learning

calculate a regression line to predict head size vs. brain weight.

cia_statements_word_counter

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

climate_analysis_sqlalchemy

d3_health_data_chart

data_trafficers_project

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

diabetes_prediction

Streamlit webapp featuring a machine learning classification model for positive or negative for diabetes based on dataset of the Pima Indians

earthquake_api_leaflet

A real time map of earthquake data pulled from USGS

fairbnb

good-credit-or-bad-credit

Classifying customers as either good or bad for loans based and dealing with minority classes in classification

gun_deaths

Exploratory data analysis of gun related deaths in the United States from 2012 - 2014

matplotlib_pymaceuticals

mercari_challenge_using_nlp

movie_recomendations_pyspark

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

multiple_linear_regression_50_startups

A collection of machine learning projects I have done

pandas-pyschool

A practice exercise of pandas to do analysis of data on students

pyspark_demographics

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.

pyspark_rainfall_data_dates

This was an exercise working with dates in Spark using data on rainfall

python

Some small projects using python to do data analysis

pytricks

Collection of less popular features and tricks for the Python programming language

salary_predictions

Machine learning project using a comparison of different models for predicting potential employee salaries