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    6,676 dicom dataset jobs found, pricing in USD

    The data is about loan performance (default or not) - it has 9000+ rows and very clean. You need to build a classifier (programmed in Python) with Random Forest and XGboost and do the usual evaluation based on CV. The features will be given to you, no feature engineering/selection on your end. The only two slightly fancy requests - 1. when building the model, down sample the non-default group as ...

    $132 (Avg Bid)
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    I have access to a remote server, I will need the individual to create 3 hadoop clusters and analyse a dataset I have using pig and spark

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    The data is about loan performance (default or not) - it has 9000+ rows and very clean. You need to build a classifier (programmed in Python) with Random Forest and XGboost and do the usual evaluation based on CV. The features will be given to you, no feature engineering/selection on your end. The only two slightly fancy requests - 1. when building the model, down sample the non-default group as t...

    $158 (Avg Bid)
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    7 bids

    Machine Learning and data science in medical diagnostic. Need a Case study done on a Malaria Cell Images Dataset. Dataset: [login to view URL] Python code : [login to view URL] Case Study must include the following: 1. Specific problem scenario and framing

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    natural language process 2 6 days left
    VERIFIED

    ...articles. This task can be seen as a text summarization task. You have to train a dataset i.e, NEWS. When we run the code, it should do a training on the dataset. When the training is done, it will generate a text file that includes all the output results ”news headlines from dataset thats been trained” Users don’t have to input at all, they only need to r...

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    analisys and reconstruction of functional resonance magnetic imaging.... create a batch for math lab that automatize the entire process. the target create statistic about t...statistic about the neuronal activity and a volume map that show the activity... I can provide some pubblication with some pipeline to follow. The image will be provided in dicom

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    I want one tesseract trainer application for solving captchas. What I need is option using which I can load the captcha images and train it af...captchas. What I need is option using which I can load the captcha images and train it after training it will generate the training data set so that i can use that training dataset in my other C# applications

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    I have a web-app with java script, it works by uploading an image and outputs another image on the browser it uploads only PNG and JPG images but I want it to upload .DCM dicom format and convert it to PNG or JPG internally within the javascript and then take it for further processing in the script as the script is designed to only take PNG and JPG

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    ...have a healthcare dataset in Excel. Need to draw insights from the given dataset. Requirements are given in separate word document. There are 4 questions which need to be answered. Need some one with strong data analysis skills who can use SQL and ETL to validate and load data and present analysis in power point presentation. Dataset has 25000 rows. Also

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    ...dimension reduction of features. Implement all the required methods by yourself. Use a small development dataset (which you build yourself) to show that your implementation is working properly before applying your algorithm to the entire dataset. All plots need proper labels and titles. Start your discussion with a short description of the plots. Tasks:

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    I have a preprocessed multivariant dataset with 11 independent variables. which are not dependent on each other(11 independent columns with the same timestamp) need a forecast for rolling 1 year with interactive plots. need the seasonality and trends of the variables. code should be in python notebook.

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    I am a Ph.D. student in Socio-economic and statistical studies and I am carrying out a research project in applied economic history. The project deals with historical municipal balance-sheets and electoral statistics available in historical archives. Therefore, I need a huge amount of data to be digitized from documents collecting historical information on economic, electoral and political feature...

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    Hii we are a group of Civil Consultant looking to build a Vehicle detector for Indian roads. I want a vehicle detector in matlab using deep learning which would be able to ...bon_faCBs [login to view URL]!QDZhVISI!878BrsR9_nZkrJQckjc34uVDJteitX73Y8wwhoGLR3Q I would also want the training code for training the detector so that i can train my own dataset

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    Running exploratory data analysis, logistic regression, svm, random forests on the dataset..data is already available..need to get this done in 4 days max

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    ...Database and duplicating your Lambda function. And I can get the data flowing properly as you did. All works fine. But, if I create a new DB & function to pull a different API dataset I keep getting "timeout" errors in the lambda logs and I see no data flowing into the database table. I'm sure I set something up incorrectly so wanted to figure out how to

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    An expert in Excel and Visual Basic needs to merge multiple datasets into one single dataset using some common identifiers.

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    Develop a script in R (or python, but not both) to scrape review text and data given a list of links to business listings on yelp. A detailed ...the attached file. A sample list of links is provided. The deliverables include, both, a working script that can be run locally and a full set of results based on the sample dataset, delivered as a flat file.

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    I would like to implement machine learningue technigues to clasifiy benign and malcious domain ...model predict malcious domain names as benign . I have already implemented everything but my code works a particular dataset however doesnt work other datsaset. I need a deveoper who fix my bugs and improve my code. I can share all dataset and my own code

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    need help of and database specialist to design a cms design er model design databse inset/upload data from dataset then normalize it upto 3nf ITS simple work for learning purspose

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    I have a preprocessed time series dataset which consists of 11 independent features which are not correlated . just need to fit the models and get the forecasts for the rolling year

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    Dataset needs to be analyzed, required to build a dashboard using tableau, and convey results through WordPress. need to showcase content written in professional language

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    I have a dataset that shows price points. I am looking to ascertain what the price point should be for the next pack size. Example: Pack S1 53.06 Pack S2 58.03 Pack S3 64.93 Pack S4 70.81 Pack S6 78.70 Pack S8 84.83 Pack S12 95.39 Pack S18 ? Can anyone help use linear regression to give me the best price point. The spreadsheet has 600

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    Twitter data analysis from dataset, text classification Detection of tweet as being "Harassment" or "Not-harassment":

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    Dear all, The task is about to merge two data sets together using Stata. The first dataset is installation level emission data (panel data annual) The second dataset is installation level emission permits transactions data I need to match them according to their account holder’s name (company name) For example: the merged data set should include:

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    Dear all, The task is about to merge two data sets together using Stata. The first dataset is installation level emission data (panel data annual) The second dataset is installation level emission permits transactions data I need to match them according to their account holder’s name (company name) For example: the merged data set should include:

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    Dear all, The task is about to merge two data sets together using Stata. The first dataset is installation level emission data (panel data annual) The second dataset is installation level emission permits transactions data I need to match them according to their account holder’s name (company name) For example: the merged data set should include:

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    Dear all, The task is about to merge two data sets together using Stata. The first dataset is installation level emission data (panel data annual) The second dataset is installation level emission permits transactions data I need to match them according to their account holder’s name (company name) For example: the merged data set should include:

    $119 (Avg Bid)
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    Hi there, I'm working in Wix and have pages setup by linking a dataset to a "Dynamic Page" layout. Now I'm hoping to implement multiple checkbox filters and a search bar so that the user can filter the output. It want it function just like this demo page: [login to view URL]

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    ...payments, will follow this order: 1. Review of existing model and short description of plans for work. (10%) 2. Progress report at half-way (40%) 3. Final output. (50%) The dataset and training model files will be provided once the project has been awarded....

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    Sample data is given need to read the dataset in to R and should plot a scatter plot of the data and to also omit outliers need to create a subset of the data Create a simple box plot of your data. Be sure to add a title and label the axes. Make a ggplot that consists of just a scatter plot using the function geom_point() with position = “jitter”

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    I have a dataset (Electricity Consumption). I need to analyze the dataset with Python and introduce a novel algorithm based on Random Forest regression. Based on those results I need to write a reearch article from that.

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    I am a doctor and looking at ways to improve clinical outcomes with machine learning. I a...looking at ways to improve clinical outcomes with machine learning. I am also learning the basics of machine learning. I am seeking support to complete both outcomes. The dataset I am working with is cloud based. Individual data sets may be up to 30 gigabytes.

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    NDA
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    I need you to setup machine learning workflow to predict tomorrow's sales in retail. Given our dataset is in Google Big Query or AWS S3. Data will include sources such as history of sales, weather, location, business type, competitor's sales data.

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    I'm looking for a novel model to create pseudo labels for a tweeter dataset. Some may use hashtags, some may use emojis. Some may combine few approaches.(it's called distant supervision as well). The purpose is to eliminate manual labeling, and yet create a reliable labeled dataset, therefore it should improve the existing works and have better results

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    So you need [login to view URL] a simple kNN classifier for digit classification. [login to view URL] to used: either a or ...some image samples which were wrongly classified. [login to view URL]: Provide a short paragraph detailing your understanding on the experiments and results. I will provide you the dataset and you need to use and you need to do it in ipython notebook

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    We nee...train our dataset to improve accuracy of algo at runtime. Web developer must have hands on experience with web services. Reference app: [login to view URL] Only bid if you have worked on following: Web services, OCR or any other text extracting algo from image, AI to train dataset.

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    Hello freelancers, I...make a model in matlab which can identify the gender of a person. First, we have to enhance the audio file by removing noise, silence , feature extraction. Then by using the dataset we need to train the neural network . And for higher accuracy we are going for Fused based model . Refer 6.3.3 from this paper for more information.

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    I need to develop a classifer to predict the MNIST dataset using KNN and HOG feature

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    This is a mediocre type machine learning project that has dataset needed to be classified according to the uploaded files.

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    I have setup some crawlers which store data into S3. Each crawler stores the daily sc...should then be added to another s3 table which aggregates all the clean data on daily basis. Ideally all this should happen within the AWS environment. This final aggregated dataset will then be used to query and extract a daily report and showcase historic trends.

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    Voice (phone) recognition. Source code is available. Optimization/performance gain by the change of parameters...available. Optimization/performance gain by the change of parameters. Programming skills are not heavily required but more classfication knowledge. RNN and BLTSM are used. Dataset is TIMIT. The code should be explained on Skype/WebEx etc.

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    The goal of the project is to develop a neural network in Python capable of translating natural language questions to the corresponding SQL queries. A sample dataset will be provided.

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    ...application stores one dataset for a minute, an hour, a day, a week, a month and a year by a type (resolution), implemented as an enumeration. This dataset contains the consumption of this period, a minimum-, a maximum- and an average value of the three phases and the timestamp. Every minute, hour, day, week, month and year we get another dataset (INSERT). Within

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    ...application stores one dataset for a minute, an hour, a day, a week, a month and a year by a type (resolution), implemented as an enumeration. This dataset contains the consumption of this period, a minimum-, a maximum- and an average value of the three phases and the timestamp. Every minute, hour, day, week, month and year we get another dataset (INSERT). Within

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    ...to run some experiments and would like someone to build the machine learning pipeline to train a 3D CNN model. The pipeline would use CT images stored on GCS (as individual dicom files), labels, do preprocessing/conversion (likely to png), and then train a 3D CNN CloudML model using the different examples. A good example is this codelab published by

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    Project about culstering dataset forecasting

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    ...has been working with text recognizing algorithms from image (OCR or any other related algorithm). Text can be handwritten too. Also, we need to implement AI to train our dataset to improve the accuracy of algorithms at runtime. The web developer must have hands-on experience with web services. Reference app: [login to view URL]

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    Featured
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    ...[login to view URL]", "[login to view URL]", "[login to view URL]", "[login to view URL]" and "[login to view URL]" images. By default, if for instance the DICOM image (i.e., "12345-12345-12345/file" a ".dcm" image) has no attributed five images, you will overlay just a "[login to view URL]" image. You can overlay...

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    ...machine learning techniques and R who can do an analysis on a dataset; this will be a classification / continuous response problem 1, i have a data set of an election result. need to explain the factors affecting the election result 2, you have to choose a state for analysis, dataset has only a few fields . so you have to merge data from other data

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