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    4,746 data classification tugasan ditemui, harga dalam USD
    AI decision tree 6 hari left

    Need to do a decision tree classification, with python

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    I need a machine learning script to run a classification using decision trees.

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    Hi, I am attaching my datafile below. I require to achieve the following results - 1. Identify the topics in column B and D (Each topic is defined by the fuzz.partial_ratio being greater than 70 among the strings). Identify the keyword around which the string is classified into the topic 2. Arrive at counts and percentages of the topics

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    I want a software which can be able to trace traffic from video and counts them with there classification .

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    data preprocessing, classification and Decision Trees methods in R

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    Random Forest regression random forest classificaton

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    Am looking for SDN developer. Firstly, I want to implement online traffic classification (semi-supervised techniques on incremental kmeans) that classifies service types to elephant flow and mice flow in software defined networking (SDN) , and after that metering the total number of packet, and total number of packet (uplink) , total number of packet

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    Deep Residual Networks with Range normalization for text classification. I need a deep learning model to identify important medical concepts mentions from clinical documents, and classify them into personal identifying information (PII) and the four SOAP predefined categories, such as disease, symptoms, treatment etc. We propose the use of sentence

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    I need a deep learning model to identify important medical concepts mentions from clinical documents, and classify them into personal identifying information (PII) and the four SOAP predefined categories, such as disease, symptoms, treatment etc. We propose the use of sentence embeddings, with deep Residual Networks with with residual connections and range normalization simultaneously, and transfe...

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    I need a deep learning model to identify important medical concepts mentions from clinical documents, and classify them into personal identifying information (PII) and the four SOAP predefined categories, such as disease, symptoms, treatment etc. We propose the use of sentence embeddings, with deep Residual Networks with with residual connections and range normalization simultaneously, and transfe...

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    ... I want to predict if, given a certain time instant, a request will happen. Hopefully, I would like to have this working for more levels, i.e. Softmax Classification instead of Sigmoid Classification. The main description can be found in this StackExchange Post actually: [login to view URL]

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    Required a system that can help to classified human behavior by using Inverse L System Python is the programming language. Project is research base. Data-set requires Running system requires *********Any further queries you want to ask feel free to contact and ask********

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    Trophy icon New Logo Design 1 hari left

    ...concept if we will change the logo, this is just an idea for the management to see the ideas. We prefers to have an Arabic name in logo, but all ideas is welcomed. Emirates Classification Society (TASNEEF) هيئة الإمارات للتصنيف(تصنيف) Tasneef Maritime تصنيف ماريتايم TASNEEF-RINA Business Assurance (TRBA) تصنيف-رينا لضمان الأعمال Tasneef Asset Integrity

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    Dijamin
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    26 penyertaan

    Hi I have a numeric dataset (not images) for apply deep learning classification. Dataset has 3 class but these are imbalanced sizes. For example class 1:200 , class 2:3200 , class 3:190 labels. I'm trying to train it in Keras or Tensorflow for classification. At the result; All prediction are collected in Class 2: So i searched the problem in internet

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    ...predict images which consists of terrorism related contents. This part is a final part of image processing. This is to finalize the results after object detection. Preferred classification method is KNN algorithm. CSV file is not available at the moment so dummy csv file can be used. Furthermore terrorist images should be predicted correctly and it should

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    Looking to build a CRM system with standard features of Sales, Marketing, Campaign Management, Workflow definition, Bulk emails, Template management, Leads classification etc.

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    I want to predict the academic performance of students using ensemble methods using MATLAB or R

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    Steganalysis is binary classification problem. Two classes here are stego- image with embedded secret data and Pure image- without secret data. Residual networks proposed for image classification can be used even for steganalysis problem we need to implement the paper attached with this proposal and reproduce the results.

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    Need some help in thesis writing. The theses is about Arrhythmia classification from ECG signals. Don't bid if you don't have any Machine learning experience, please.

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    Hi Mohamed, I am looking for a basic predictive model to predict the outcome of a Kickstarter project before it is uploaded. As it is a classification problem I am looking to implement algorithms like knn, naive Bayes and j48. A chunk of work has already been done (that is the algorithms have been written) and I am looking for someone to clear the road

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    I am looking for a basic predictive model to predict the outcome of a Kickstarter project before it is uploaded. As it is a classification problem I am looking to implement algorithms like knn, naive Bayes and j48. Most of the work has already been done and I am looking for someone to clear the road blocks and finish the project. Please reach out to

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    ...give to an item. I require a machine learning expert to amend/update and run an existing python script for me. The script returns the accuracy results of a number of classification and regression models. We will then document these results, take the model with the best accuracy, and create a final model from this. We will also need to evaluate and

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    Build ML model for classification of fabrics ass discussed.

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    Deep Residual Networks with Range normalization for text classification. I need a deep learning model to identify important medical concepts mentions from clinical documents, and classify them into personal identifying information (PII) and the four SOAP predefined categories, such as disease, symptoms, treatment etc. We propose the use of sentence

    $195 (Avg Bid)
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    14 bida

    ...start with a demo (proof of concept) with the view to engage for future projects in the pipeline. One of them is the prediction of future FX Values (Regression) and Trends (Classification) over a particular period. After this project the plan is to add move values such as indicators and market type to the dataset. I look forward to the bids. Kind Regards

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    Am looking for someone you know SDN I mean SDN developer. Firstly, I want to implement online traffic classification (semi-supervised techniques on incremental kmeans) that classifies service types to elephant flow and mice flow in software defined networking (SDN) , and after that metering the total number of packet, and total number of packet (uplink)

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    Firstly, I want to implement online traffic classification means (built classifier in switch and controller) by (semi-supervised techniques on incremental kmeans) that classifies service types to (elephant flow and mice flow) in software defined networking (SDN). Secondly, After I will use the input types of traffic (elephant flow or mice flow) and

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    ...so to do that i need to find a code that will do feature extraction for the signal to detect the R-peak from the signal, after that i need to find another code that do classification to tell us if the patient has a heart arrhythmia of not by comparing the real-time signal with the signal that we will take it from the physionetATM (MIT-BIH database)

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    The project is about image classification with tensorflow and Detection of the 24 patches of a color checker using deep learning. [login to view URL] here you can find the png files. we need to use png files and we need to pre-proessed them. Among the 9 subsets of images, use 8 to learn (Train and

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    ...expertise to clean and model the data as required. The following tasks are required: 1) An exploratory data analysis of the training data set using RapidMiner Studio data mining tool. 2) A Decision Tree model for predicting loan delinquency based on the data set using RapidMiner and an appropriate set of data mining operators and a reduced

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    The dataset consists of 1.2million instances and 600 sparse features and is hosted on Amazo...has multiple responses (typically between 10 and 20). The responses are counts and are heavily zero-inflated. The project is to train a neural network to obtain the best classification, using different types of network, and must be done using R and/or Python.

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    ...an event) Classification Comment Ad Cost if Any Section for Bearded Silkie Chickens Date Ad Placed Expiration date (that would also feed to the calendar as an event) Classification Comment Ad Cost of Any Section For Great Pyrenees Date Ad Placed Expiration date (that would also feed to the calendar as an event) Classification Comment

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    If you are perfect with following topics, please let me know Logistic Regression Decision Tree Model Classification I'll share details to interested candidates! Regards

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    1. Turn the below coordinates into an excel file ...corresponding region (Attached the format) [login to view URL] 2. Please follow the below classification for region: (Choose a product and perform the checkout) [login to view URL]

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    I would like to work with someone, who can create the new algorithms on Machine learning techniques to classifiers the Credit scoring dataset, Please share the ideas with me. This project wants to choose Decision trees model to classify the dataset (tool Matlab)

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    Creation of web software for creation and management of classes of materials, considering attributes, values, units of measurement and classification standards. I already have some examples of screenshots for each feature. Preferred Layout: [login to view URL] The system must have: 1. User registration

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    Introducing new Energy Efficient Load Balancing Algorithm with Data Classification

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    I have paper about wsn I want simulation by using matlab The paper have 4 algorithm 1- classification node base on the density of neighbor nodes 2- creat cluster and select cluster head 3- calculating the distance between node by using flooding

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    hello mate. I have a project where i am going to deliver a project as a scientific article that is 4 pages long (5-pages with references). I need to do the fellowing: 1. Data: Find what dataset/database i will work on from this link: [login to view URL] 2. Methodology: Do you want to work with wavelets / filter banks, transformers (DCT), etc.,

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    hello mates. I have a project where i am going to deliver a project as a scientific article that is 4 pages long (5-pages with references). I need to do the fellowing: 1. Data: Find what dataset/database i will work on from this link: [login to view URL] 2. Methodology: Do you want to work with wavelets / filter banks, transformers (DCT), etc.,

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    hello mate. I have a project where i am going to deliver a project as a scientific article that is 4 pages long (5-pages with references). I need to do the fellowing: 1. Data: Find what dataset/database i will work on from this link: [login to view URL] 2. Methodology: Do you want to work with wavelets / filter banks, transformers (DCT), etc.,

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    hello mate. I have a project where i am going to deliver a project as a scientific article that is 4 pages long (5-pages with references). I need to do the fellowing: 1. Data: Find what dataset/database i will work on from this link: [login to view URL] 2. Methodology: Do you want to work with wavelets / filter banks, transformers (DCT), etc.,

    $300 (Avg Bid)
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    hello mate. I have a project where i am going to deliver a project as a scientific article that is 4 pages long (5-pages with references). I need to do the fellowing: 1. Data: Find what dataset/database i will work on from this link: [login to view URL] 2. Methodology: Do you want to work with wavelets / filter banks, transformers (DCT), etc.,

    $300 (Avg Bid)
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    1 bida

    hello mate. I have a project where i am going to deliver a project as a scientific article that is 4 pages long (5-pages with references). I need to do the fellowing: 1. Data: Find what dataset/database i will work on from this link: [login to view URL] 2. Methodology: Do you want to work with wavelets / filter banks, transformers (DCT), etc.,

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    Data classification using machine learning & deep learning. Its PhD level research work so don't bid without relevant experience. Thanks

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    Introducing new Energy Efficient Load Balancing Algorithm with Data Classification

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    Knowledge of Weka and Python is necessary Classification Techniques: Zero-R (majority class) One-R Decision trees: Using Weka (J4.8) and Python.

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    Deep Classification in Large-scale Text Hierarchies .more details in private chat box

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    Re-creating the code used for the paper (Deep Classification in Large-scale Text Hierarchies

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    ...Project: I have a CSV file which has protein data with (9 columns). The last column is the label for the data set (0 or 1). I'm very well aware that the data set is not appropriate for either CNN or RNN because of its characteristics. But I need you to build a CNN and RNN using Tensorflow train and test the same data (U can ignore a few columns which are not

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    Artikel Komuniti data classification Teratas