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    4,973 data entry site classification part jobs found, pricing in AUD
    Attack Classification Tool 6 days left
    VERIFIED

    ... 5) Payloads are not considered as footprints in log. So, freelancer should aware of all possible patterns/features of attacks in log file. 6) Accuracy of finding or classification of attacks based on your algorithm should be good. (98 to 99%) 7) Output should be in this sequence – Mentioned attacks’ footprints/features, robot/crawler/spider/bot user

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    ... 5) Payloads are not considered as footprints in log. So, freelancer should aware of all possible patterns/features of attacks in log file. 6) Accuracy of finding or classification of attacks based on your algorithm should be good. (98 to 99%) 7) Output should be in this sequence – Mentioned attacks’ footprints/features, robot/crawler/spider/bot user

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    ... Thus, studying DNA methylation data may help biomarker discovery in cancer. Since public data on DNA methylation become abundant, and considering the high number of methylated sites (features) present in the genome, it is important to have a method for efficiently processing such large datasets. Relying on big data technologies, we propose BIGBIOCL

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    ...need to have linguistic experiences ) c) Knowing IPA. Because the teaching of this phrase will be based on IPA rules. d) Knowing syllable and word stress. e) Knowing the classification of speech sounds, and the rules of reading a new word. f) Tell me your English accent, UK/USA/Australia/others. Goals: 1) After been trained, My boy can read any words

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    ...Payloads are not considered as footprints in log. So, technical person should aware of all possible patterns/features of attacks in log file. 6) Accuracy of finding or classification of attacks based on your algorithm should be good. (98 to 99%) 7) Output should be in sequence – Mentioned attacks’ footprints/features, robot/crawler/spider/bot user agent

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    So this is a RandomForest machine learning program for Classification which is available in C++ and R source code. The job is to make this program to be able to do an imputation for missing data using the RandomForest algorithm in C++. Currently, there is a package in R which adds the program code to imputation. Well, the TASK is to make this additional

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    Data classification 5 days left
    VERIFIED

    The project’s goal is to follow the KDP steps to detect/classify the onset of data.

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    - Use the existing neural network and implement them on my own data set - Aim is to detect the bee species - Preferably within 3 days -I have the data set in a form of images. -Treat the project as it is starting from scratch -Provide the full source code and instruction on how to install them -The code should be reproducible on my device

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    Need to carry out features engineering and develop a ML model for multi class classification.

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    This project intends to identify the category of business model for each geographical information in the whitepaper of cryptocurrencies. Please contact me for details.

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    Engineering lead * Hands-on full stack engineer with prior demonstrabl...* To lead at least two squads offshore * To lead a client facing QA engineer onshore * Position may evolve into CTO * Individual needs to lead key intent detection and classification project and forward think to productise the outcome for out of box,platform agnostic proposition

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    We need someone to improve our tool based at machine learning scikit-learn ( classification ) - improve configuration of classifiers and others if improve accuracy - added imbalanced-learn to improve accuracy

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    ...(NLP) professional to help us develop NLP products and [login to view URL] professional responsibilities include transforming natural language data into useful features using NLP techniques to feed classification algorithms. To succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods and text representation

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    ...(NLP) professional to help us develop NLP products and [login to view URL] professional responsibilities include transforming natural language data into useful features using NLP techniques to feed classification algorithms. To succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods and text representation

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    features extraction ,Binary classification using logistic regression , Binary Classification Using L1-penalized logistic regression, wrangling and modeeling data, multi class classification

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    So this is a RandomForest machine learning program for Classification which is available in C++ and R source code. The job is to make this program to be able to do an imputation for missing data using the RandomForest algorithm in C++. Currently, there is a package in R which adds the program code to imputation. Well, the TASK is to make this additional

    $157 (Avg Bid)
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    I need a command line application made from the two following CGAL packages: 1. Classification: [login to view URL] 2. Point Shape Detection: [login to view URL] The application will need to build for Linux

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    I need to create a Flask app with python. The idea is to let the user upload it's dataset in a (csv, tsv, ...) format and create an interactive sankey diagram (pl...want to let the user pusht the text content, from the dataset run the scripts on the backend a push back the result to the interface (tasks are sentiment scores and text classification).

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    So this is a RandomForest machine learning program for Classification which is available in C++ and R source code. The job is to make this program to be able to do an imputation for missing data using the RandomForest algorithm in C++. Currently, there is a package in R which adds the program code to imputation. Well, the TASK is to make this additional

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    Python Flask App 1 day left
    VERIFIED

    I need to create a Flask app with python. The idea is to let the user upload it's dataset in a (csv, tsv, ....want to let the user pusht the text content, from the dataset run the scripts on the backend a push back the result to the interface (tasks are sentiment scores and text classification). Please contact me for more details. Thanks in advance

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    This project intends to identify the category of business model for each geographical information in the whitepaper of cryptocurrencies.

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    ...(UPDATE to display if display classification is hidden) (UPDATE to incomplete if status is completed) ·When Client or PM or Manufacturer presents contract Create two records of code 303 ({tad_company_id = company ID & partner company ID} ※If there is already a record, no processing (UPDATE to display if display classification is hidden) (UPDATE to incomplete

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    ... ※If there is already a record, no processing (UPDATE to display if display classification is hidden) (UPDATE to incomplete if status is completed) ·When

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    ... ※If there is already a record, no processing (UPDATE to display if display classification is hidden) (UPDATE to incomplete if status is completed) ·When

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    Data Analysis 23 hours left

    1) Fetching Data From Company´s Facebook (or using existing FB/Twitter Dataset) 2) Sentiment Analysis, Building classification model 3) Sales Prediction (in combination with google trends) - can comments predict the sales? Details to be discussed.

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    * require to use tensorflow to classify images, that is to find out the image is a passport, or it is an application form, or it is a scanned bank card with a scanned driver license. * require to use twisted or tornado to handle the HTTP requests * require to read MRZ from the passport image, including the MRZ string and passport deatils from the MRZ. The steps for the API: 1. upload an image fil...

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    * require to use tensorflow to classify images, that is to find out the image is a passport, or it is an application form, or it is a scanned bank card with a scanned driver license. * require to use twisted or tornado to handle the HTTP requests The steps for the API: 1. upload an image file 2. API returns JSON result with the file tags, for example, ['passport'] or ['bankcard...

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    This project intends to identify the category of business model for each geographical information in the whitepaper of cryptocurrencies.

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    NMS (Network Traffic Classification and Monitoring) Project scope: Develop on Python, Machine Learning by Concept adapting Very Fast decision tree (CVFDT) Algorithm (or any other algorithm which can perform well) The main objective of the study is to implement a model for network traffic monitoring through machine learning. Not port-based nor payload

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    ...screenshot showing scene kit scene with Diffuse image texture). Apple has a good demo app showing vision being used in realtime with ARKit - but it's being used for image classification and not Barcode Detection (qr). [login to view URL] This shows partial implementation of Vision QR Code

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    Text classification problem (will be used python) Looking for experts in NLP, ML (scikit learn, keras, tensorflow etc.)

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    Follow knowledge discovery process steps to detect/classify the onset of epileptic seizures in EEG data.

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    To detect people density from an image. Go through image preprocessing, feauture extraction, classification and visual it in heatmap.

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    ...imagery will be the best options for identification of the LULC Map . Deliverables 1. LULC MAP OF GURUGRAM METROPOLITAN REGION (ARC GIS SHAPE FILES , IMAGES ,DATASETS) 2. CLASSIFICATION OF BUILT UP AREA AND VACANT LAND Kindly make the cost a little low so that I can give more work in future .The ARCGIS package for the Metropolitan Boundary, Municipal

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    Knowledge of Naive Bayes Classification,Decision Tree Classification , Time Series Analysis , Bayes and Decision Trees, Advanced analytics in R

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    we need a software which is able to count and classify vehicles from videos . demo : [login to view URL]

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    Hi, I am looking for a developer to develop a webbased application for video analytics and dash board. Videos will be avilable from drones and video cameras. Experience with deep learning and nueral networks. thanks..

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    Animated story of a our company dealing with selling farm produce... our company dealing with selling farm produce , focussing on the 1. farms :- farm scouting , produce harvesting packing & transport [login to view URL] :- the classification of different products , grading Packaging 3. Marketing. Market outlets , produce selling

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    classification of people depending on medical history... need it in 4 hours max

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    Hi there, Need to complete a project for Map/Reduce -Extraction project and a classification model. Thanks!

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    This project intends to identify the category of business model for each geographical information in the whitepaper of cryptocurrencies.

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    ...series classification using accelerometer data. I want to use a deep learning method for my project. I am classifying accelerometer data into various road conditions. I have a labeled dataset for various road conditions. I am presently using LSTM to perform the time series classification Working Code: I have a working LSTM classification code which

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    I want to obtain data from the website [login to view URL] (remove the "______"). My goal is to get the data of the current day, which would be the URL: [login to view URL] From other past dates, such as [login to view URL] The data you would need from every match that has ALREADY been

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    ... Documentacion: [login to view URL] Lo campos de textos son los siguientes: Customer Code Customer Name Outlet Classification Customer Open Date Customer Status Postal Code Customer Area Contact Person Contact No. Address Credit Status Credit Limit Credit Term KeyAccReg KeyAccGrp Cust Disc Company

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    Hi, Looking for a very good and organized Photoshop designer who can prepare all products pictures from our existing Internet site for the new website we are working on creating. All existing pictures must be remade in a different size and format, be placed on a light gray background (Photoshop background code # efefef) and be classified in files

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    ...such as roadway, shoulder, cycle tracks etc. from LiDAR data, which generates a 3-dimensional point cloud, using machine-learning tools. Objective: The objectives of this research can be formulated based on the research questions and aim of the research. •To develop a methodology and classification algorithm to extract the features of the roadway using

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    I need you to design and build website dashboard for breast cancer recurrence (BCR) prediction using naïve baye classification algorithm with Principal Component Analysis (PCA) as feature extraction in python.

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    A Text classification NLP ptyhon Project

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    ...looking to scrap United States Patent Office (USPTO) patent publication data for all TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE (Y02). I want a programmer who can scape all values from each of these searches Field 1: Current CPC Classification Class and then one search for 8 different term 1’s: Y02a, Y02b, Y02c,

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    *Develop FRAppE, a suite of efficient classification techniques for identifying whether an app is malicious or not. To build FRAppE, use data from MyPage- Keeper, a security app in Facebook. *find that malicious applications significantly differ from benign applications with respect to two classes of features: On-Demand Features and Aggregation-Based

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