Skip to content
View PerryGraham's full-sized avatar
πŸ‘‹
Working
πŸ‘‹
Working
Block or Report

Block or report PerryGraham

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
PerryGraham/README.md

Past Projects:

Web Racing Game - Backend - Data Engineering


drawing

● Tools: Redis-json, Nodejs, Express, JavaScript
● Built backend and server logic for web app racing game using in memory database and live data streaming.
● Won gold prize ($2000) in Redis 2021 Hackathon. πŸ₯‡

Malaria Blood Smear Classifier - Image Classification


drawing

● Tools: Python, TensorFlow, TensorBoard, Matplotlib, Pandas, Numpy
● Used a public dataset of 23,000 images to classify with 95% validation accuracy
● Identified and visualised mislabeled data to quantify validation error

NBA Betting Model Project - Regression Analysis


drawing

● Tools: Python, Numpy, Scrapy, Pandas, Sklearn, XGBoost, Matplotlib, Seaborn
● Predicted the total score of a match within 15% accuracy of the betting lines
● Scraped, cleaned, feature engineered and hyper-optimized for improving model results

Business Expansion Project - Geo-spatial Interactive Visualization


drawing

● Tools: Python, Pandas, Geopandas, Contextily, Folium, Matplotlib
● Located and visualized high population area of the city, with low business competition
● Analysed Google ratings to find most favourable gym type for highest success

2016 Canadian Census Visualizations - Exploratory Data Analysis


drawing

● Tools: Python, Pandas, Matplotlib, Seaborn, Squarify
● Read and sorted census data to provide insights with various visuals
● Visuals used: Vertical/horizontal bar graphs, pie-charts, box-plots, and line graphs

Model Selection Guide - Beginners Guide


drawing

● Summary of machine learning models commonly used for regression / classification (from scikit-learn) ● Reading through documentation about these models can often be very intimidating for beginners, especially when you do not have a strong math background. This is meant to be written for more people to understand the difference between models.

Pinned Loading

  1. Redis-Racing Redis-Racing Public

    Redis Hackathon project 2021

    C# 4 5

  2. Betting-Model-NBA Betting-Model-NBA Public

    Data cleaning, feature engineering, and regression analysis.

    Jupyter Notebook 6 2

  3. Image-Classificaion-Malaria Image-Classificaion-Malaria Public

    Binary image classification of blood smear to determine parasite presence using TensorFlow

    Jupyter Notebook

  4. Gyms-in-Ottawa Gyms-in-Ottawa Public

    Geo-spatial analysis of gym locations across Ottawa, Canada

    Jupyter Notebook