Riley Predum (@rileypredum)
github

rileypredum

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  • Stars
    star
    125
  • Global Rank 176,554 (Top 7 %)
  • Followers 61
  • Following 3
  • Registered over 7 years ago
  • Most used languages
    Jupyter Notebook
         90.9 %
    Python
         9.1 %

Top repositories

1

East-Bay-Housing-Web-Scrape

Web scraping CL East Bay room/shares to look at the distribution of prices. Part of a larger eventual project of making an interactive iPython widget that can filter by city and overlay to compare pricing.
Jupyter Notebook
43
star
2

mall_customer_segmentation

Quick EDA on a data set to determine what segments there are.
Jupyter Notebook
31
star
3

marketing_analytics_sql

Analyzing and calculating key marketing metrics with SQL and Python
Jupyter Notebook
14
star
4

Kickstarter-Campaign-Success-Prediction

A machine learning project trying to predict whether or not a Kickstarter campaign succeeds. Final report in PDF as well. Includes original dataset in csv and Jupyter Notebook
Jupyter Notebook
12
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5

Webscraping-and-Analysis

A two part repo consisting of scraping Sci-Fi movies from IMDB.com and cleaning the data in part one. In part two, I perform EDA and machine learning. More on part two coming soon.
Jupyter Notebook
8
star
6

Airbnb-EDA--Regression

Having fun exploring a 2017 Airbnb dataset and gleaning insights and running an lm model.
Jupyter Notebook
5
star
7

ETL_SQL_Python

An exploration of ETL and the SQLAlchemy library in Python
Jupyter Notebook
4
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8

ad_data_analysis

A Jupyter Notebook looking at ad data and making a prediction.
Jupyter Notebook
2
star
9

lyft_analysis

An analysis of 2 years of Lyft Baywheels bikeshare ride data. Data are used to predict the gender of rider or duration of ride (logistic and linear regression respectively).
Jupyter Notebook
2
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10

linear_regression_function

Why not just call this function instead of writing out all the steps of sklearn linear models?
Jupyter Notebook
1
star
11

HMH19

Hack Mental Health 2019 Hackathon SF
Python
1
star
12

HR-Data-Dashboard-Tableau

An exploration of Tableau dashboarding capabilities and analyzing race, turnover/employee retention, satisfaction, and more.
1
star