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jtredwell's Projects

assembly-sort icon assembly-sort

bubbleSort and insertionSort algorithms written in ARM assembly language - uses C++ menu driver to call external functions and sort over 200,000 integers

data-visualization-and-machine-learning-classification-methods-for-income-prediction icon data-visualization-and-machine-learning-classification-methods-for-income-prediction

I analyze and explore US Census Bureau Data using Data Visualization techniques to identify salient features useful for predicting an individual's income level. We use those relevant features and multiple classification methods (Decision-Tree, SVM, and K-Nearest Neighbor) to predict the income level for unknown individuals. Our client is a local University who wants to use income as the key demographic to decide criteria for marketing its degree programs. Each classifier explored has an accuracy of over 85%.

kmeans-and-dbscan-clustering icon kmeans-and-dbscan-clustering

Python program that takes a dataset and performs clustering. Using the provided training data set, performs cluster validation to determine the amount of carbohydrates in each meal

machine-model-training-svm-classifier icon machine-model-training-svm-classifier

Support Vector Machine Classifier using Python: Pandas and sci-kit learn libraries to extract meaningful Feature data from Meal and No Meal training data set. Trained a Support Vector Machine to recognize Meal or No Meal data. Use k-fold cross validation on the training data to evaluate my recognition system. Given the time-series glucose data of a patient, the Model Predicts whether a stretch of 2 hours of glucose data is a “Meal” or “No Meal”

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