Python Scipy Jobs

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Hourly - Intermediate ($$) - Est. Time: Less than 1 month, Less than 10 hrs/week - Posted
What we need is someone who is not only skilled in analyzing data, but knows how to apply it strategically to various digital marketing channels in a holistic fashion. All of the difficult work of creating a survey, obtaining statistically significant results, cleaning, visualizing the data, etc has been done. We just need someone who can tell us how to use the data to meet our goals. This will take some back and forth with me, and creating more visualizations within Qualtrics. It might also mean comparing the results with our AdWords data. I need someone who can really listen to my rather unique concerns and help us get what we are intuitively after. Background: I manage the strategy for an outreach website aimed at creating more people who believe that land value tax is a desirable and important policy for ending poverty and saving the environment. I need someone to first compare our existing survey results, preferably using Qualtrics, to the academic theories of Dan Kahan, a professor at Yale. The theory is called Cultural Cognition, which puts respondents into 4 buckets. This theory is useful because of its power to predict how people will answer many questions about society, beyond the 5 questions in the survey. We already have broken the responses into these 4 buckets the best we can, but I can't help but feel that we need to dig deeper. We currently receive $40K in free advertising from Google AdWords for being a non-profit. We also have a newsletter. We have data from all of these activities. We need a 2nd opinion on our overall marketing strategy. We are juggling two goals, to identify as large of a chunk of society as possible who is likely to be interested in our ideas and to better market to them. Our other goal is to influence people in the San Francisco Bay Area who will attend our events and perhaps donate to our cause in a variety of ways. Please read and comment on this document:
Skills: Python SciPy Business Analysis Business Mathematics Business Planning
Hourly - Intermediate ($$) - Est. Time: Less than 1 week, 10-30 hrs/week - Posted
Looking for a python programmer familiar with the sci-kit learn package to work on a small regresion analysis. To begin with, this will be a short python program, but there may be future work available if the results are good. Experience with stock trading or other time based datasets will be required. Further information and dataset will be made available to the selected candidate.
Skills: Python SciPy Data Science Machine learning Python
Hourly - Intermediate ($$) - Est. Time: Less than 1 month, Less than 10 hrs/week - Posted
CANCER 3D Modeling from 2D DICOM Images ==================================== I am a student in a university with a health background and some basic information in Python. I am working in a cancer visualization and extraction project and looking for an experienced software programmer using python and have experience in medical imaging as DICOM images (digital imaging and communication in medicine).This project continues for one month and through it I want the programmer to make 3D reconstruction from 2D DICOM images. The program also makes extraction and segmentation of the tumor tissue from the background and segmentation of other tissues. Then it renders the 3D model of the extracted tumor. We need to use different kinds of algorithms as marching cube algorithm including interpolation and approximation for 3D reconstruction. Developer may use segmentation algorithms as K-means, region growing, threshold and the likes. I already started the work and I have online resources for DICOM images, I performed some scripts related to this work and downloaded some open-source of DICOM images software processing images as 3D slicer and imageJ. All of these I will provide the programmer to start his/her work. Program Requirements A program is needed to be written in Python. It will do the following: 1. Read sequence of DICOM .DCM images (2D) and render them in sequence and the sequence can be controlled with the mouse back and forth. (Already completed) 2. Segmenting and analyzing the 2D DICOM images and separate areas that are likely to be cancer (We will give the programmer some algorithms recommendations as well as the density that are likely to be cancer), separate cancer areas in new sequence of DICOM images, example: a. Original DICOM images (1.dcm, 2.dcm, 3.dcm, 4.dcm, 5.dcm, 6.dcm, 7.dcm, 8.dcm, 9.dcm, 10.dcm, 11.dcm, 12.dcm). b. The DICOM that contains cancer would be: (3.dcm, 4.dcm, 5.dcm, 11.dcm, 12.dcm). c. The following requirement in number (3), it will build the 3D model from the cancer DICOM images in (b) above. 3. Then build a 3D construction from the DICOM sequence. The 3D model should be controlled with degrees of depth (From skin to the deepest structure). (Completed partly) Figure 1: (2D DICOM image) Shows cancer in blue circle, the cancer can be analyzed according to several algorithms, some of them consider the brightness, some the circular shape, and some the density. The developer can use any algorithm that sees fits, to determine the cancer area in DICOM images.
Skills: Python SciPy 3D Rendering Image Editing Image Processing
Hourly - Expert ($$$) - Est. Time: 1 to 3 months, 10-30 hrs/week - Posted
I have raw exports from a Wordpress website, which can be shared as a 350MB zip file containing XML files. The XML files contain structured data representing the news stories on our website, including: Headline, Publication Date, Author, Article Content. We are trying to understand a few different things about the content on our website. 1. What topics do our journalists write about? 2. What topics do our journalists write about with authority? 3. How well does our site taxonomy describe or organize our content? 4. Based on an analysis of the stories, can we do a better job of related our content? I am looking for someone to conduct an analysis of our content. The right candidate will be able to: * Identify 10-20 topics or subjects that are discussed across a number of articles; determine the topics that the website has "topic authority" (we can discuss what constitutes a "topic" before we begin, and what constitutes "authority") * Generate a list of articles that discuss each of these topics * Analyze topic authority as a function of Author and Content Category of the website (for example, the website has a category "News & Politics" as well as "Business & Technology, etc... What topics do are covered by those categories?) You should be capable of providing the source code and outputs in the form of CSV files and plots (generated using the tool of your choice, but ideally R, Python or an open-source solution).
Skills: Python SciPy Python Python Numpy R
Hourly - Intermediate ($$) - Est. Time: 1 to 3 months, 10-30 hrs/week - Posted
Looking for an individual with a background in biomedical engineering, electrical engineering, or physics who has a firm grasp manipulating and analyzing continuous time-series data. Working with the project manager, this project requires planning, developing, and implementing a physiological data analysis scheme comprising of signal processing and synchronization, feature engineering, and probabilistic classification analysis using machine learning methods in MATLAB and/or Python.
Skills: Python SciPy Data Engineering Machine learning MATLAB
Hourly - Intermediate ($$) - Est. Time: More than 6 months, Less than 10 hrs/week - Posted
HTML interface work and python on going help be need send a sample of your work both HTML and HTML 5 and python send the sample as a attachment
Skills: Python SciPy HTML5 PHP Python
Hourly - Expert ($$$) - Est. Time: Less than 1 week, 10-30 hrs/week - Posted
Looking for an expert in Machine Learning, TensorFlow and Python. Work specification: Using ML, create a model to predict the score in a professional soccer game. Each minute new data will be available, and the goal is to predict every minute which team will be ahead 15 minutes in the future. Train the model using 500 soccer games, using various sets of data, such as: shots on goal, blocked goals, completed passes, etc. Also available will be data from previous games such as age of the players, lifetime goals, etc. It is not important whether the model you create has high predictive value. What is important is setting up the infrastructure so we can easily train the model with new data. You must write the work using TensorFlow, Python and SkFlow. You must document which ML methods you use (eg, Random Forest, multilayer perceptron, etc).
Skills: Python SciPy Machine learning Python TensorFlow