Python Scipy Jobs

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Fixed-Price - Intermediate ($$) - Est. Budget: $350 - Posted
See 2 attached files. Word file contains infromation about what the tools is supposed to do. The PDF contains documentation how it was done. Current tool is avaible here: https://mega.nz/#!9kN11bjJ!xqP-DwnSDQTc6nit7voSVfWXysGyCH5D8NmgrwwTakc It works !! It does what it is supposed to do but some improvemnts are necessary. 1. It is super slow !! I know there is a lot of data to be processes but maybe it would be possible to divide work for multicore CPU or for GPU or make faster algorithms. 2. Now tool requires translation of a text to another language in order to make cross-lingual comparison. Translation is VERY SLOW and there are some tools that could compare semantically texts in different langauges without translation or using some different comparison method. I need to abble to run all under Ubuntu or Wndows. Ubuntu prefferable.
Skills: Python SciPy C# C++ Web Crawling
Fixed-Price - Expert ($$$) - Est. Budget: $75 - Posted
Need assistance from accomplished numpy/scipy professional. Given two np-arrays A,B where A.shape=(n, m) dim(m)>=3 and B.shape=(nb,mb) dim(mb=6) create numpy sequence to determine average of i (1<i<6) shortest euclidean distances to B. Need speed of execution. We will provide test cases of A,B to validate solution.
Skills: Python SciPy Python Numpy
Fixed-Price - Intermediate ($$) - Est. Budget: $100 - Posted
I am analyzing data for academic publications (Multiple) and looking for a statistician who uses Pandas/Numpy/Scipy/Statmodels This job (the first of many) is finalizing the results section of a partially completed data analysis of a small data set. (n=77 with ~ 13 variables). Work includes multivariate model building, Correlations, generating graphs for publication. (initial descriptive and prelim multivariate is already done) Good communication skill required. Prior coaching experience would be a plus.
Skills: Python SciPy Python Numpy Statistics
Fixed Price Budget - Expert ($$$) - $100 to $500 - Posted
Hi, I would like to get some technical and analysis help in applying data mining/data science in positional data. Also Skype or face-to-face meeting in explains how things were done in details. If you are unable to support what you provide in Skype meeting then detailed documents should be provided to help me understand the details needed. The point of this task/project is not for you to do all the work, it is also to develop my knowledge and understanding in order to do what required and fully understand it. The task may include : 1- selecting best, efficient, effective and appropriate techniques to be applied 2- suggestion of tools to be used 3- visualisation of inputs, process, result. 4- ability to accept related tasks to the task as it develops. Please note that I need to understand all the details, knowledge and process applied in this work. Please send me your related work in data mining related to applying DM to positional data as well to visualisation of the data. Many thanks, Khal
Skills: Python SciPy Data Analytics Data mining Data Modeling
Fixed-Price - Expert ($$$) - Est. Budget: $10,000 - Posted
We need additional strong ML Analysts to work with our team on identifying transportation mode (car, train, bus etc) from smart-phone data streams we are capturing (mainly raw GPS and Accelerometer). You will have extensive knowledge and practical experience with ML (including SVM, BNN and even Deep learning preferably). You may use R or matlab or Julia or Python for your analysis, but ultimately the resulting code must be implemented in Python or C. Best if you have previous experience working with GPS and accelerometer streams from smart-phones for this type of research. Also good if you have experience with designing experiments to create the necessary data to improve ML algorithms. This first assignment will be for about 2 weeks - and if skills and chemistry works out, we can extend for several more weeks as we need this team to continue to improve this transportation mode detection forever fundamentally. Much academic literature has been published about this challenge and it would be preferred if you have read up on these and feel comfortable being able to put in practice some of the better ideas found in these publications.
Skills: Python SciPy Machine learning Python