Python Numpy Jobs

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Hourly - Intermediate ($$) - Est. Time: Less than 1 month, 10-30 hrs/week - Posted
I have clean data that I have manipulated. Now, I need to just create tables based on regressions - this can be done either in STATA or in python. I have data in multiple formats - in panel data as well as separate files. You can use whichever is easier, but I need STATA or python to output one file for 26 regressions. I know how to run the regression on STATA, but I am not so familiar with it to know how to save the results and how to create charts.
Skills: Python Numpy Python Python SciPy Stata
Hourly - Expert ($$$) - Est. Time: Less than 1 week, 10-30 hrs/week - Posted
I have a data frame taken from an SQL database which needs to be transformed into a wide dataframe in Python using python 2.7. The dataframe will have many strings which need to be converted into a column with a 1 or 0. I would like this job completed by Monday 9am GMT as I have to build out the model and don't have time to build the model.
Skills: Python Numpy Python SciPy
Hourly - Intermediate ($$) - Est. Time: Less than 1 month, Less than 10 hrs/week - Posted
Hi, I am looking who has patience to teach me Scrapy With Scrapy I want to crawl Amazon and some orther online shop to get the informations and prices, save then in MongoDB for later use Hope you can help me. Thank you Best wishes. Nguyen
Skills: Python Numpy Data Analytics Python Python SciPy
Hourly - Entry Level ($) - Est. Time: Less than 1 week, 10-30 hrs/week - Posted
Hi, I have an educational data set of how students performed on various learning tests. One set of students was in a condition with one version of a learning game (physics). The other set had a different version. Three schools were run on this experiment. I have attached the data set here. Students were measured based upon their: -Pre/post test scores/gain scores -Engagement survey results -Number of trials within the game itself -Actions used within the game itself -Trial times on incorrect trials within the game -Trial times on a mini-game within the main game (differed across two conditions) -Spatial ability -Attentional ability -A few other specific metrics I would like the following completed in sci-kit learn using Python: I. Exploratory statistics (scatterplots, histograms, etc.) II. Training and Testing of dataset: GridsearchCV Classifiers: Logistic Regression, Multinomial Naive Bayes, Decision Tree, Random Forest, K-Nearest Neighbor, Support Vector Classifier. Model evaluation metric: accuracy,precision,recall,f1-score,mean-squared error. III. Clustering (k-means, KNN) students performance on the final test based on: -Pretest scores (high vs. low) -Spatial ability (high vs. low) -Attentional ability (high vs. low) -Perhaps game performance metrics (actions used, trials, time spent) This should not be more than a days worth of work, possibly less. I realize some of these analyses may not make sense, we can discuss together to refine the strategy. I would like the output and code for all these analyses. Thanks!
Skills: Python Numpy Machine learning Python Python SciPy
Hourly - Intermediate ($$) - Est. Time: Less than 1 month, Less than 10 hrs/week - Posted
We are working on an online fashion based application that provides personalized shopping experience to users based on their physical appearance. We are looking for someone in CV/IP field who might be interested to write initial algorithms for this project. The algorithm we need to write is to create 3D base templates/models for women's clothes. For example, we may need different base 3D models for different types of skirts. Similarly, we need to create templates/models for dresses, jeans, shoes and handbags. These models should support ability to size into different shapes/sizes e.g. XS, S, M, L and XL. We will be providing input pictures of the clothes (may be multiple images of the same clothes from different angles. no complex patterns). The algorithm is to scan the input pictures, identify the type of clothes, fit the base model using the corresponding clothes template and create texture maps. We will also need to change the base template to fit the scanned image and have the capability to create clothes in different sizes e.g. XS, S, L etc. Preferred language is python/c++/opencv/numpy. Please let us know if this is something you will be interested and we can plan on scheduling some time or chatting over the phone/skype for more questions. We would also need step-by-step approach and initial estimates in terms of time/price.
Skills: Python Numpy 3D Design 3D Modeling 3D Rendering
Hourly - Intermediate ($$) - Est. Time: 1 to 3 months, 10-30 hrs/week - Posted
Concept Overview: We're looking to expand our development team for quantitative & alogithmic trading developers. We're looking for more experts in Tradestation and ideally Python with experience in the quant finance space. Experience in Tradestation Optimization API, Python, Numpy, Scipy, Pandas, sckit-learn is required. FIX, Cuda, Numba experience a plus We're currently building a multi-strategy trading platform which will execute through Interactive Brokers or other FIX based brokers. Application Architecture Overview: The application (described in item #2 above) should take the complete TradeStation trading strategy source code as an input and optimize it using the TS 9.5 Optimization API. All source code for the project will be stored in a Git repository on GitHub. Developer Requirements: -- Good English Skills -- Ability to read software specifications (English) -- Can communicate with project manager on Skype text chat during the US Business -- -- Hours (6am – 3pm EST – New York City Timezone) -- Significant Experience in Tradestation, Python -- Experience using Git. -- Should be able to write clear, commented, well-structured code -- Must be detail oriented – no sloppy or lazy coding styles. -- Must be able to test their own code. Additional preferred skills of a developer: -- Understanding and experience with Software Development Lifecycle (SDLC) process -- Can provide ideas and feedback to improve overall software design. Our Company Overview Our company is a software application development company based in the United States. We focus on the financial and quantitative trading industries. We develop applications for both external customers and our own internal projects. We use Amazon Web Services (AWS) extensively. We are currently looking to expand our development team by adding freelance developers throughout the world. This project is an introductory project for new developers. If the developer does well on this project they will receive more work from us in the future. ** We will not respond to any phone calls about this job or work with any company outside of the oDesk system **
Skills: Python Numpy Python