connormcmanigal
UCI Master of Data Science graduate student. Technical skills: Python, R, SQL, Java, Machine Learning, Frequentist and Bayesian Statistics, and Probability.
Pinned Repositories
bin-packing-analysis
Implementation of next fit, first fit, best fit, first fit decreasing, and best fit decreasing bin packing algorithms followed by time and space complexity analysis.
BRUV_Shark_ComputerVision
Children-health-bayesian-analysis
Data-Analysis-EffectofNBAInjuriesonTeamRecord
Statistical analysis of potential association between a NBA team’s number and type of injuries to their record from the 2010-15 seasons. Prediction of 2016 season records given injury types and numbers.
Data-Analysis-SanDiegoCountyAutoAccidents
Data analysis aimed at better understanding San Diego County automobile accidents while analyzing various features such as weather and dates from the 2021 year.
Diabetes-Supervised-Machine-Learning-Analysis-And-Prediction
Comparing logistic regression, decision tree, random forest, k-nearest neighbors, and SVMs in regard to binary prediction performance metrics.
IoT-IDS-VAE-Classification
Training VAE and an Mixed-Loss VAE with normal network traffic, then implementing validation and test steps that fold in the attack traffic to ensure models' reconstruction error satisfactorily separates data at with accuracy. Leveraging Bayesian optimization to tune hyperparameters and testing one anomaly at a time hold out strategy with AUCs.
Recipe-Review-Scoring-Algorithm-Regression
Leveraging sentiment analysis and data augmentation to recreate recipe scoring algorithm with sparse data. Used MLPs and Gradient Boosting Regressors to compare regression metrics such as RMSE and MSE between raw data and raw data in conjunction with augmented data.
sorting-algorithm-analysis
Implementation of MergeSort, QuickSort, InsertionSort, ShellSort, BucketSort, RadixSort, Binary Insertion Sort, and Tim Sort followed by time complexity analysis.
Traveling-Salesman-BranchandBoundDFS-StochasticLocalSearch
Bidirectional traveling salesman problem using branch and bound depth-first search and stochastic local search followed by a time complexity analysis.
connormcmanigal's Repositories
connormcmanigal/Children-health-bayesian-analysis
connormcmanigal/Data-Analysis-SanDiegoCountyAutoAccidents
Data analysis aimed at better understanding San Diego County automobile accidents while analyzing various features such as weather and dates from the 2021 year.
connormcmanigal/IoT-IDS-VAE-Classification
Training VAE and an Mixed-Loss VAE with normal network traffic, then implementing validation and test steps that fold in the attack traffic to ensure models' reconstruction error satisfactorily separates data at with accuracy. Leveraging Bayesian optimization to tune hyperparameters and testing one anomaly at a time hold out strategy with AUCs.
connormcmanigal/bin-packing-analysis
Implementation of next fit, first fit, best fit, first fit decreasing, and best fit decreasing bin packing algorithms followed by time and space complexity analysis.
connormcmanigal/BRUV_Shark_ComputerVision
connormcmanigal/Data-Analysis-EffectofNBAInjuriesonTeamRecord
Statistical analysis of potential association between a NBA team’s number and type of injuries to their record from the 2010-15 seasons. Prediction of 2016 season records given injury types and numbers.
connormcmanigal/Diabetes-Supervised-Machine-Learning-Analysis-And-Prediction
Comparing logistic regression, decision tree, random forest, k-nearest neighbors, and SVMs in regard to binary prediction performance metrics.
connormcmanigal/Recipe-Review-Scoring-Algorithm-Regression
Leveraging sentiment analysis and data augmentation to recreate recipe scoring algorithm with sparse data. Used MLPs and Gradient Boosting Regressors to compare regression metrics such as RMSE and MSE between raw data and raw data in conjunction with augmented data.
connormcmanigal/sorting-algorithm-analysis
Implementation of MergeSort, QuickSort, InsertionSort, ShellSort, BucketSort, RadixSort, Binary Insertion Sort, and Tim Sort followed by time complexity analysis.
connormcmanigal/Traveling-Salesman-BranchandBoundDFS-StochasticLocalSearch
Bidirectional traveling salesman problem using branch and bound depth-first search and stochastic local search followed by a time complexity analysis.