Performed internal consulting projects and expanded the SDA Statistical Learning initiative with colleagues. Developed parameterized Bayesian agent-based models of internal project portfolio for scenario planning purposes, using PyMC3 and Mesa. Assisted in the analysis of high throughput DROSHA cleavage data, with one paper currently in writing.
Health Sciences. Earth Sciences. Cognitive Science. Mathematics.
Create a GitHub repository which should include the data used for the final project, the RMarkdown file and the compiled HTML file. If the data are too big to fit in the repository, make the data accessible somewhere online (google drive, downloadable link, etc).
The National Academies of Sciences, Engineering, and Medicine are the nation's pre-eminent source of high-quality, objective advice on science, engineering, and health matters. Top experts participate in our projects, activities, and studies to examine and assemble evidence-based findings to address some of society's greatest challenges.
Business Data Science offers a Research Master's Programme with three tracks: in Quantitative Finance, Management Science and Supply Chain The Master of Data Science programme consists of 60 ECTS credits coursework with a final project. You can complete 9 modules in 12 to 15 months...
Oct 03, 2019 · Here are eight ambitious data science projects to add to your data science portfolio; We have divided these projects into three categories – Natural Language Processing, Computer Vision, and others . Introduction. There are multiple ways of learning data science. We can go through courses, pour through books, or sift through articles.
The data we want isn't always available, but Sally lucks out and finds student performance data based on test scores (school_rating) for every public school in middle Tennessee. The data also includes various demographic, school faculty, and income variables (see readme for more information). Satisfied with this dataset, she writes a web ...
Oct 16, 2020 · Explore projects that are using the ScienceBase API and geospatial services to store content and drive workflows. The ScienceBase Item Model All items are JSON and share a few basic attributes, such as a title and abstract, and items fields may be used to support targeted queries. In this portal you will find the most up to date global health data, including regional and country data organized separately in the areas of maternal,newborn, child, and adolescent health. These data can be visualized on charts and maps which you can download.
Simple Science Hundreds of Science Fair Projects For Students EasyFunSchool - Science Lessons and Activities Index - Article Reeko's Mad Scientist Lab - Top Secret Section F Science Fair Projects - K-12th Grade - Easy Step-by-Step Guides! Easy Science Fair Projects Simple kids science experiments, science projects, science Science Experiments ...
Data Science. Average Cost $6,215. Certificate Program. Introduction to Data Science (3.00 Units) I&C SCI X426.60 Learn the data design, management and manipulation tools Students will work on a single project to develop a comprehensive project plan and business case for a data warehouse...
Public health and biosurveillance. Epi Info is public domain statistical software for epidemiology developed by Centers for Disease Control and Prevention.; Spatiotemporal Epidemiological Modeler is a tool, originally developed at IBM Research, for modelings and visualizing the spread of infectious diseases.
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These reports are based on similar analysis carried out on Italian data Pepe E. et al. 2020 and US data Klein B. et al. 2020. We aim to provide and assess the changes in commuting and mobility at local authority level across UK during the COVID-19 health crisis. Public Data Sets for Data Visualization Projects. A typical data visualization project might be Github has an API that allows you to access repository activity and code. You can get started with Data Cleaning, Data Science Projects, Data Visualization, Learn Python, Machine Learning, Portfolio.
Healthcare.ai is available in packages for both R and Python, two of the most common languages used by data scientists. If you don’t previous experience with either language, we recommend the R package as it currently has more features and R is more newbie-friendly.
Those projects are described in further detail below. Completed Projects. Adult Despair Classification – a project in collaboration with Medicine Health and Society, using mental health and demographic data to better the drivers of the rising numbers of deaths of despair (suicide, alcoholism, drug abuse).
Preparing proposal abstract for Intelligence Advanced Research Projects Activity (IARPA) grant. Providing talks about developing web data products in R&Shiny for software developers from Center for Research Computing and the role of instant feedback at Data Science for Social Good conference in Chicago.
I am interested in problems of high-dimensional data, data science, and statistical inference. In particular, I enjoy working on developing new methodology for addressing scientific questions using large and complex datasets, and appropriately quantifying uncertainty in the resulting estimates.
GitHub is the go-to community for facilitating coding collaboration, and GitHub For Dummies is the next step on your journey as a developer. Written by a GitHub engineer, this book is packed with insight on how GitHub works and how you can use it to become a more effective, efficient, and valuable member of any collaborative programming team.
Aparito is a digital health company, that uses mobile phone applications and wearables to monitor patients outside the hospital setting. I supported the remote patient monitoring studies by analysing data, including activity and physiological signals from wearable devices, real-time symptoms, medication adherence and patient reported outcomes.
Science project poster. Draw attention to your scientific research in this large-format poster that you can print for school, a conference, or fair. This template includes sample data, graphs, and photos in a scientific method format that you can replace with your own to present your experiment.
Data Science Weekly Newsletter: A free weekly newsletter featuring curated news, articles and jobs related to Data Science.
L. Collado-Torres. At the Lieber Institute for Brain Development, I lead the R/Bioconductor-powered Team Data Science team. My team aims to better understand the roots and signatures of disease (particularly psychiatric disorders) by zooming in across dimensions of gene activity: from studying gene expression at all feature levels (genes to exons to exon-exon junctions and un-annotated regions ...
GitHub My research is driven by a fundamental passion for building reliable artificial intelligence (AI) technologies for medical decision making. I approach problems in clinical medicine with a computational lens, developing AI algorithms and datasets across computer vision, natural language processing, and structured data that can drive AI ...
Following is what you need for this book: Machine Learning for Healthcare Analytics Projects is for data scientists, machine learning engineers, and healthcare professionals who want to implement machine learning algorithms to build smart AI applications. Basic knowledge of Python or any programming language is expected to get the most from ...
The DOE Science News Source is a Newswise initiative to promote research news from the Office of Science of the DOE to the public and news media. Breaking Argonne fast-tracks training in nuclear ...
Aug 21, 2018 · Based on the learnings from our Introduction to Data Science Course and the Data Science Career Track, we’ve selected data sets of varying types and complexity that we think work well for first projects (some of them work for research projects as well!). These data sets cover a variety of sources: demographic data, economic data, text data ...
For projects that are not pure software development, we co-opt this machinery to organize our to-do list more generally. The basic unit is an issue and you can interact with one in two ways. First, issues are integrated into the project’s web interface on GitHub, with a rich set of options for linking to project files and incremental changes.
Code Data Set + Programming Features API mailto: [email protected]: Aspiring Minds We have a data set of more than 100,000 codes in C, C++ and Java. We also have data sets of human graded codes in C and Java for various problems.
Work on real-time data science projects with source code and gain practical knowledge. Showcase your skills to recruiters and get your dream data science job. The data science projects are divided according to difficulty level - beginners, intermediate and advanced.
Jun 05, 2018 · To showcase these skills, here’s 5 types of data science projects for your portfolio: Data Cleaning; Data scientists can expect to spend up to 80% of the time on a new project cleaning data. This is a huge pain point for teams. If you can show that you’re experienced at cleaning data, you’ll immediately be more valuable.
I have a simple project that makes HTTP requests to an API endpoint and uses an API Key that I want to keep secret. Initially I put the key in its own file, imported the key into the file that uses it, and added the key file to the .gitignore. The problem is that this approach won't work if someone clones the GitHub repository.
Dec 18, 2020 · A repository for data examining the social, behavioral, public health, and economic impact of the novel coronavirus global pandemic. This is a free self-publishing option for any researcher who wants to share data related to COVID-19.
Specialties: Advanced Analytics, Digital Health, Data Science, Machine Intelligence Drug Discovery, Translational Bioinformatics, Clinical data mining, Healthcare Data Science, Health Evidence and Outcome Research, Deep Learning, Cloud Computing, Statistics, Solution Architect, Bioinformatics...
The project is funded by the Korean gevernment agency, called MSIP(Ministry of Science, ICT and Future Planning). Project Objectives The project aims to develop artificial intelligence technologies for socially assistive robots that can provide personalized services in the areas of healthcare, affective interaction, and cognitive/informative ...
Jul 04, 2019 · The next data science step is the dreaded data preparation process that typically takes up to 80% of the time dedicated to a data project. Once you’ve gotten your data, it’s time to get to work on it in the third data analytics project phase.
Jan 01, 2015 · GH Archive is a project to record the public GitHub timeline, archive it, and make it easily accessible for further analysis. GH Archive Star Tweet Open-source developers all over the world are working on millions of projects: writing code & documentation, fixing & submitting bugs, and so forth.
Performed internal consulting projects and expanded the SDA Statistical Learning initiative with colleagues. Developed parameterized Bayesian agent-based models of internal project portfolio for scenario planning purposes, using PyMC3 and Mesa. Assisted in the analysis of high throughput DROSHA cleavage data, with one paper currently in writing.
Jun 08, 2020 · Donate You can shape the future of mental health Up to one in four of us struggles with mental illness, yet funding for this urgent health crisis has stagnated.
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Healthcare.ai is available in packages for both R and Python, two of the most common languages used by data scientists. If you don’t previous experience with either language, we recommend the R package as it currently has more features and R is more newbie-friendly.
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