matt

mas16

data science | biophysics | philly

Philadelphia, PA

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Python50%Jupyter Notebook50%

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111

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6

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0

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SubcellularLocalizationPrediction

Machine Learning (SVM) model to predict protein subcellular localization from amino acid sequence

3Jupyter Notebook

Iterative filtering of linear regression outliers by interquartile range method

packaging_tutorial

python packaging tutorial

m4l1_managing_a_project

m3l2_forking_lab

Automated Modeling and Parameter Estimation for Relaxation Experiments (AMPERE) is a software solution for streamlining the analysis of NMR relaxation data

Repositories

111

mas16/m4l1_managing_a_projectFork

No description provided.

00Updated 3 years ago

mas16/m3l2_forking_labFork

No description provided.

00Updated 3 years ago

mas16/iterative_iqr

Iterative filtering of linear regression outliers by interquartile range method

Python20Updated 6 years ago

mas16/SubcellularLocalizationPrediction

Machine Learning (SVM) model to predict protein subcellular localization from amino acid sequence

Jupyter Notebook30Updated 6 years ago

Automated Modeling and Parameter Estimation for Relaxation Experiments (AMPERE) is a software solution for streamlining the analysis of NMR relaxation data

00Updated 4 years ago

mas16/packaging_tutorial

python packaging tutorial

Python10Updated 6 years ago

Python app to generate an 8-bit song from a text file

Python00Updated 4 years ago

No description provided.

Python00Updated 5 years ago

mas16/dev_project

No description provided.

Jupyter Notebook00Updated 5 years ago

mas16/dsc-html-introduction-lab-data-scienceFork

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mas16/dsc-pivot-tables-pandas-lab-data-scienceFork

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mas16/dsc-combining-dataframes-pandas-lab-data-scienceFork

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mas16/dsc-lambda-functions-lab-data-scienceFork

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Jupyter Notebook00Updated 6 years ago

mas16/evaluating-regression-lines-lab-data-science-intro-000Fork

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mas16/gradient-descent-data-science-intro-000Fork

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00Updated 6 years ago

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Jupyter Notebook00Updated 6 years ago

mas16/python-lists-lab-data-science-intro-000Fork

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mas16/evaluating-regression-lines-data-science-intro-000Fork

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mas16/multivariable-calculus-gradient-descent-data-science-intro-000Fork

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mas16/partial-derivatives-lab-data-science-intro-000Fork

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mas16/calculus-derivation-gradient-descent-data-science-intro-000Fork

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mas16/derivative-chain-rule-data-science-intro-000Fork

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mas16/gradient-to-cost-function-data-science-intro-000Fork

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mas16/applying-gradient-descent-lab-data-science-intro-000Fork

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mas16/applying-gradient-descent-data-science-intro-000Fork

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mas16/map-filter-lab-python-data-science-intro-000Fork

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mas16/python-dictionaries-lab-data-science-intro-000Fork

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mas16/sigma-notation-data-science-intro-000Fork

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mas16/plotly-lab-data-science-intro-000Fork

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mas16/excel-to-python-data-science-intro-000Fork

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00Updated 6 years ago

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