Pinned Repositories
Cookbook
ds-cheatsheets
List of Data Science Cheatsheets to rule the world
hypothetical
Hypothesis and statistical testing in Python
IRS990
Clustering exercise using IRS 990 form
keras-attention
Visualizing RNNs using the attention mechanism
Kyriakakis_et_al_SupplementaryFiles
Files for light control and Fd:FNR pathway model
marichalloran.github.io
Marianne C. Halloran - Data Science
msa-han
PomoPomo
Pomodoro Timer using tkinter
SensorClassification
Simple BLSTM-MLP for sensor data classification
marichalloran's Repositories
marichalloran/Kyriakakis_et_al_SupplementaryFiles
Files for light control and Fd:FNR pathway model
marichalloran/SensorClassification
Simple BLSTM-MLP for sensor data classification
marichalloran/Cookbook
marichalloran/ds-cheatsheets
List of Data Science Cheatsheets to rule the world
marichalloran/hypothetical
Hypothesis and statistical testing in Python
marichalloran/IRS990
Clustering exercise using IRS 990 form
marichalloran/keras-attention
Visualizing RNNs using the attention mechanism
marichalloran/marichalloran.github.io
Marianne C. Halloran - Data Science
marichalloran/msa-han
marichalloran/PomoPomo
Pomodoro Timer using tkinter
marichalloran/post-tuto-deployment
Repo pour le blog post avec Ahmed
marichalloran/practical-statistics-for-data-scientists
Code repository for O'Reilly book
marichalloran/UCSD_Data_Science_and_Engineering
In the Data Science and Engineering program, engineering professionals combine the skills of software programmer, database manager, and statistician to create mathematical models of the data, identify trends/deviations, then present them in effective visual ways that can be understood by others. Data scientists unlock new sources of economic value, provide fresh insights into science, and inform decision makers by analyzing large, diverse, complex, longitudinal, and distributed data sets generated from instruments, sensors, internet transactions, email, video, and other digital sources. Students entering the MAS program for a degree in Data Science and Engineering will undertake courses in programming, analysis, and applications management and visualization. This program requires three foundational courses, four core courses, and two electives totaling thirty-four units, plus a capstone team project course of four units, for a total of thirty-eight units.
marichalloran/Underwater-Color-Correction
Using GANs to correct color distortion in underwater images.