Blog

A collection of resources from http://www.ericstrong.org/Blog/. Files within this directory are licensed under GNU AGPLv3. Please cite this work using the following format:

Strong, E., Blog, (2017), Github repository, https://github.com/drericstrong/Blog

Clustering
- 20161110_ClusteringInvestigation- Investigating False Alarms in a Clustering Algorithm, Blog
Data Exploration
- 20161121_RegressionVisualization- Investigating Built Regression Models, Blog
- 20161212_Predicting Abalone Rings Part 2- Exploring Abalone Dataset Using PCA, Blog
Data Preprocessing
Fuzzy Logic
- 20170204_FuzzyLogicLinearGaussian- Exploring Fuzzy Logic, Blog
Management
- 20161025_DataScienceLessonsLearnedRegister- Example of a Lessons Learned Register, Blog
Markov Chain
- 20161018_TimeAligning2- Evaluation of Compression Algorithm Using Markov Chain, Blog
Monte Carlo
- 20161220_Dice Advantage and Disadvantage- Monte Carlo Analysis of Max, Min of 20-Sided Data, Blog
Neural Network
- 20161216_Predicting Abalone Rings Part 3- Multilayer Perceptron Using Abalone Data, Blog
Principal Component Analysis
- 20161212_Predicting Abalone Rings Part 2- PCA Modeling of Abalone Dataset, Blog
Regression Modeling
- 20161121_RegressionVisualization- Visualization for Validating Regression Models, Blog
- 20161207_AbalonePart1- Multiple Regression Models with Abalone Dataset, Blog
Signal Processing
- 20170106_DQ0 Transform In Python- Including Analysis of a Normal 3-Phase Voltage Signal, Blog
Statistics

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Name		Name	Last commit message	Last commit date
20161017_TimeAligning1.ipynb		20161017_TimeAligning1.ipynb
20161018_TimeAligning2.ipynb		20161018_TimeAligning2.ipynb
20161024_TimeAligning3.ipynb		20161024_TimeAligning3.ipynb
20161025_DataScienceLessonsLearnedRegister.xlsx		20161025_DataScienceLessonsLearnedRegister.xlsx
20161102_VLOOKUPAndApproximateMatch.xlsx		20161102_VLOOKUPAndApproximateMatch.xlsx
20161110_ClusteringInvestigation.ipynb		20161110_ClusteringInvestigation.ipynb
20161110_SampleClusterData.csv		20161110_SampleClusterData.csv
20161121_RegressionVisualization.ipynb		20161121_RegressionVisualization.ipynb
20161121_RegressionVisualizationClasses.py		20161121_RegressionVisualizationClasses.py
20161207_AbalonePart1.ipynb		20161207_AbalonePart1.ipynb
20161212_Predicting Abalone Rings Part 2.ipynb		20161212_Predicting Abalone Rings Part 2.ipynb
20161216_Predicting Abalone Rings Part 3.ipynb		20161216_Predicting Abalone Rings Part 3.ipynb
20161220_Dice Advantage and Disadvantage.ipynb		20161220_Dice Advantage and Disadvantage.ipynb
20161228_PointBuyVsRandomRolls.ipynb		20161228_PointBuyVsRandomRolls.ipynb
20161229_PointBuyVsRandomRollsPart2.ipynb		20161229_PointBuyVsRandomRollsPart2.ipynb
20170106_DQ0TransformInPython.ipynb		20170106_DQ0TransformInPython.ipynb
20170119_PointBuyVsRandomRollsPart3.ipynb		20170119_PointBuyVsRandomRollsPart3.ipynb
20170119_PointBuyVsRandomRollsPart4.ipynb		20170119_PointBuyVsRandomRollsPart4.ipynb
20170119_Visualizing Dice Distributions.ipynb		20170119_Visualizing Dice Distributions.ipynb
20170204_FuzzyLogicLinearGaussian.ipynb		20170204_FuzzyLogicLinearGaussian.ipynb
20170304_AbaloneWithKerasPart1.ipynb		20170304_AbaloneWithKerasPart1.ipynb
20170308_AbaloneWithKerasPart3.ipynb		20170308_AbaloneWithKerasPart3.ipynb
20170310_ActivationFunctions.ipynb		20170310_ActivationFunctions.ipynb
20170312_AbaloneWithKerasDropout.ipynb		20170312_AbaloneWithKerasDropout.ipynb
20170321_NeuralNetworksForAutoMPGWithAccordInFSharp.ipynb		20170321_NeuralNetworksForAutoMPGWithAccordInFSharp.ipynb
20170402_ArcheryWithGeometryPixelsAndMonteCarlo.ipynb		20170402_ArcheryWithGeometryPixelsAndMonteCarlo.ipynb
20170405_CalculatingPiWithMonteCarlo.ipynb		20170405_CalculatingPiWithMonteCarlo.ipynb
20170408_MonteCarloVarianceReductionWithAnUnbalancedRouletteWheel.ipynb		20170408_MonteCarloVarianceReductionWithAnUnbalancedRouletteWheel.ipynb
20170414_CalculatingAnIntegralWithMonteCarloUsingTheRejectionMethod.ipynb		20170414_CalculatingAnIntegralWithMonteCarloUsingTheRejectionMethod.ipynb
20170416_CentralLimitTheoremWithMonteCarlo.ipynb		20170416_CentralLimitTheoremWithMonteCarlo.ipynb
20170419_BootstrappingTheCentralLimitTheorem.ipynb		20170419_BootstrappingTheCentralLimitTheorem.ipynb
20170419_data_bootstrap.csv		20170419_data_bootstrap.csv
20170427_BinaryMarkovChain.ipynb		20170427_BinaryMarkovChain.ipynb
20170502_MarkovChainsInEquipmentConditionMonitoring.ipynb		20170502_MarkovChainsInEquipmentConditionMonitoring.ipynb
20170510_RunningABokehServerOnHerokuPart1.ipynb		20170510_RunningABokehServerOnHerokuPart1.ipynb
20170510_linear_example.py		20170510_linear_example.py
20170520_Procfile		20170520_Procfile
20170520_RunningABokehServerOnHerokuPart2.ipynb		20170520_RunningABokehServerOnHerokuPart2.ipynb
20170520_linear_example.py		20170520_linear_example.py
20170520_requirements.txt		20170520_requirements.txt
20170520_runtime.txt		20170520_runtime.txt
20170526_FastFourierTransformInPython.ipynb		20170526_FastFourierTransformInPython.ipynb
20170604_RenamingPDFFilesAutomaticallyUsingPython.ipynb		20170604_RenamingPDFFilesAutomaticallyUsingPython.ipynb
20170611_RiskManagementForAssessingProjectDeadlines.xlsx		20170611_RiskManagementForAssessingProjectDeadlines.xlsx
20170616_PlotlyDashRegressionExample.ipynb		20170616_PlotlyDashRegressionExample.ipynb
20170702_ParsevalsTheoremInPython.ipynb		20170702_ParsevalsTheoremInPython.ipynb
20170709_TransformerPrognosticsPart2Simulator.ipynb		20170709_TransformerPrognosticsPart2Simulator.ipynb
20170713_TransformerPrognosticsPart3Prognostics.ipynb		20170713_TransformerPrognosticsPart3Prognostics.ipynb
20170724_Running7ZipFromTheCommandLineInPython.html		20170724_Running7ZipFromTheCommandLineInPython.html
License.txt		License.txt
README.md		README.md

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