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FEA-ML Public
Objective: This study investigates the use of finite element analysis (FEA) to generate data as an alternative to experimental data to train a machine learning (ML) algorithm for the purpose of cre…
Jupyter Notebook UpdatedMar 1, 2023 -
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sparkSQL Public
Objective: Perform word count tasks and joins using spark SQL within a Docker container
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multiThreadProg-sharedfiles Public
Objective: Create a multi-threaded program where shared files are protected and synchonized by mutex lock
C UpdatedJan 13, 2022 -
marketAnalysis-LiquorStores Public
Objective: Perform market analysis on Iowa liquor stores using State of Iowa alcoholic records, US census, US geological GIS data.
Jupyter Notebook UpdatedJan 13, 2022 -
AI_gym-MarkovDecisionProcess Public
Objective: Using the AI_gym environment design an algorithm which will instruct an agent to learn and succeed at different tasks
Jupyter Notebook UpdatedJan 12, 2022 -
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stat420_variableSelection Public
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spark_MLlib_graphf Public
Objectives: Using pyspark, MLlib and graphframes libraries, perform 1) classification and custering tasks using RandomF and Kmeans and 2) graph analysis tasks. This material is from UIUC MCS course…
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apacheStorm Public
Objective: Using Apache Storm construct a spout/bolt topology to perform a word count and report top N words. This is from course work at UIUC MCS.
Python UpdatedJan 11, 2022 -
stat542proj1-regressionTrees Public
Regression Models - Decision Trees (GBM) and Linear Regression (ElasticNet)
HTML UpdatedJan 5, 2022 -
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NLP-SentimentClassification Public
Forked from azk0019/CourseProjectNeural Network Models - Sentiment Classification of Tweets
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DeepLearning-XrayClassify Public
Deep Learning Methods for Chest X-ray Classification
Jupyter Notebook UpdatedJan 3, 2022 -
dataviz-countryAdvancement Public
Data visualization D3.js - Country Advancement (education, health, employment)
HTML UpdatedJan 2, 2022 -
stat542proj4-RecommenderSys Public
Build a Movie Recommender App - Algorithm Selection and App Implementation using R's Shiny Platform
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Objectives: 1) Design a KNN algorithm using R, 2) Summarize classification performance using KNN, linear/quadratic regression and Bayes rule. Training and test data are generated from a bi-variate …
HTML UpdatedJan 2, 2022 -
Objectives: 1) Implement coordinate descent algorithm for lasso penalization using R, 2) Document performance differences between lasso and ridge penalization when performing regression on a refere…
HTML UpdatedJan 2, 2022 -