Pinned Repositories
CodeWars_Puzzles
CodeWars.com is a website that gives short programming challenges. This is a collection of a few of my Solutions.
Cycling_Classification_Project
Using 1.8 million rows of traffic collision data from NYC's Open Data initiative, we ran thousands of classification models to discover which variables made collisions lethal for cyclists. The data was cleaned using Pandas, then Scikit-learn was used to instantiate and gridsearch Decision Tree, Random Forest, Logistic Regression, and K Nearest Neighbor models. Logistic Regression proved the most reliable, and was tuned for recall, as fatal collisions made up only .04% of all collisions involving cyclists. The variables most associated with lethal cycling collisions were then extracted back out as actionable insights.
Detecting_Steel_Defects_with_Neural_Networks
This project explores using deep learning techniques to classify defects in images of steel in a real world business context. The entire project was done on AWS (S3 and Sagemaker). Designed and tuned artificial and convolutional neural networks. Achieved 85% accuracy in binary classification, and 79% accuracy in multiclass classification.
ds-aggregating_combining_dataframes-tfq32
ds-confidence_intervals-tfq32
ds-data_analysis_csv-bvh32
Home_Prices_Project
LolaQuest
A text-based fantasy game I am creating, about my dog Lola going on an epic adventure
Movie_Data_Analysis_Project
Zillow_Real_Estate_Time_Series_analysis
Using Zillow data, we utilized Statsmodels' ARIMA functionality to forecast future home prices for 26 metro areas in NY State.
AidanStack's Repositories
AidanStack/Detecting_Steel_Defects_with_Neural_Networks
This project explores using deep learning techniques to classify defects in images of steel in a real world business context. The entire project was done on AWS (S3 and Sagemaker). Designed and tuned artificial and convolutional neural networks. Achieved 85% accuracy in binary classification, and 79% accuracy in multiclass classification.
AidanStack/Zillow_Real_Estate_Time_Series_analysis
Using Zillow data, we utilized Statsmodels' ARIMA functionality to forecast future home prices for 26 metro areas in NY State.
AidanStack/CodeWars_Puzzles
CodeWars.com is a website that gives short programming challenges. This is a collection of a few of my Solutions.
AidanStack/Cycling_Classification_Project
Using 1.8 million rows of traffic collision data from NYC's Open Data initiative, we ran thousands of classification models to discover which variables made collisions lethal for cyclists. The data was cleaned using Pandas, then Scikit-learn was used to instantiate and gridsearch Decision Tree, Random Forest, Logistic Regression, and K Nearest Neighbor models. Logistic Regression proved the most reliable, and was tuned for recall, as fatal collisions made up only .04% of all collisions involving cyclists. The variables most associated with lethal cycling collisions were then extracted back out as actionable insights.
AidanStack/ds-aggregating_combining_dataframes-tfq32
AidanStack/ds-confidence_intervals-tfq32
AidanStack/ds-data_analysis_csv-bvh32
AidanStack/Home_Prices_Project
AidanStack/LolaQuest
A text-based fantasy game I am creating, about my dog Lola going on an epic adventure
AidanStack/Movie_Data_Analysis_Project
AidanStack/ds-data_visualization-bvh32
AidanStack/ds-descriptive_statistics
AidanStack/ds-pandas_data_cleaning-bvh32
AidanStack/ds-pandas_dataframes-bvh32
AidanStack/ds-python_data_manipulation-bvh32
AidanStack/ds-sql-subqueries-tfq32
AidanStack/ds-sql_joins_aggregation
AidanStack/ds-sql_queries
AidanStack/ds-webscraping-tfq32
AidanStack/dsc-introduction-v2-2-intro
AidanStack/dsc-phase-1-project-v2-3
AidanStack/dsc-running-jupyter-locally-lab
AidanStack/DSLE-083021-Phase-5-Warm-Ups
AidanStack/DSLE-083021-Phase1CodeChallengeReview
AidanStack/GitPractice
AidanStack/Leetcode.com_Problems
A few of my completely original solutions to Leetcode.com programming challenges
AidanStack/Life_Expectancy_Regression_Project
AidanStack/RealGitPractice
AidanStack/SQL_Handbook
My own notes on the basics of SQL
AidanStack/studybot
A ChatGPT powered study tool to optimize learning speed and quality