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Aphantasia.txt
Aphantasia.txt
 
 
Azure Workbook for R - Memoisation and Vectorization.ipynb
Azure Workbook for R - Memoisation and Vectorization.ipynb
 
 
Basic Three Layer Neural Network in Python.ipynb
Basic Three Layer Neural Network in Python.ipynb
 
 
Charnownes Constant in FSharp.ipynb
Charnownes Constant in FSharp.ipynb
 
 
Charting Correlation Matrices in R.ipynb
Charting Correlation Matrices in R.ipynb
 
 
CovidAnalysis.ipynb
CovidAnalysis.ipynb
 
 
Deleting.txt
Deleting.txt
 
 
Financial Risk - Calculating Value At Risk (VaR) with Python.ipynb
Financial Risk - Calculating Value At Risk (VaR) with Python.ipynb
 
 
Financial Risk - Calculating Value At Risk (VaR) with R.ipynb
Financial Risk - Calculating Value At Risk (VaR) with R.ipynb
 
 
Hierarchical and K-Means Clustering in R on Hofstede Cultural Patterns.ipynb
Hierarchical and K-Means Clustering in R on Hofstede Cultural Patterns.ipynb
 
 
HofstedePatterns.csv
HofstedePatterns.csv
 
 
OECD_Cross_Correlations.ipynb
OECD_Cross_Correlations.ipynb
 
 
OECD_QualityOfLife.csv
OECD_QualityOfLife.csv
 
 
Performance Testing Results with Microbenchmark.ipynb
Performance Testing Results with Microbenchmark.ipynb
 
 
Portfolios.csv
Portfolios.csv
 
 
Principal Component Analysis (PCA) on Stock Returns in R.ipynb
Principal Component Analysis (PCA) on Stock Returns in R.ipynb
 
 
Project Euler - Problems 18 and 67 - FSharp using Dynamic Programming.ipynb
Project Euler - Problems 18 and 67 - FSharp using Dynamic Programming.ipynb
 
 
Python Class Work 2.ipynb
Python Class Work 2.ipynb
 
 
Python Class Work 3.ipynb
Python Class Work 3.ipynb
 
 
Python Class Work 4 - ML - Collavboration-Based.ipynb
Python Class Work 4 - ML - Collavboration-Based.ipynb
 
 
Python Class Work 4 - ML - Content-Based.ipynb
Python Class Work 4 - ML - Content-Based.ipynb
 
 
Python Class Work 4 - ML.ipynb
Python Class Work 4 - ML.ipynb
 
 
README.md
README.md
 
 
Value-at-Risk (VaR) Calculator Class in Python.ipynb
Value-at-Risk (VaR) Calculator Class in Python.ipynb
 
 

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AzureNotebooks

Variety of demo notebooks done with R, Python, and F#

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Variety of demo notebooks done with R, Python, and F#, for creating machine learning and statistics

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