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    2,000 data classification tugasan ditemui, harga dalam USD

    Hello. I need help on implementing an image classification algorithm in python using tensorflow.

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    Question -1 : Write a fully executed R-Markdown program and submit a pdf / word or html file performing classification task on the Binary response variable from the Santander Bank Case Study. Make sure to try various hyperparameters of the SVM algorithm to find the best available model. You are required to clearly display and explain the models that were run for this task and their effect on the reduction of the Cost Function. Points will be deducted in case you fail to explain the output. Please note that all code assignments must be submitted as a screenshot with a slice of your desktop showing the timestamp. If the time and date are not visible, you will be graded 0. Put the screenshots in a word document, make sure to comment the code (explain what it does) and interpret th...

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    Data scientist specialized in natural language processing models and linguistics, is needed with experience from 3 to 5 years working with natural language processing techniques, NLP models, speech or intent recognition and neural coreference. The tasks needed to be done include: *¡Important! The above description is entiraly related to twitter's data, tweets or user profile. -Develop topic analysis python-script or model (if needed). Topic analysis is an approach to identify what is the topic of a speech, comment, phrase or group of phrases (i.e., Sentence: “Participate in one of our online contests and win a bunch of prizes"" Topic: ""contest"" Sentence: “This line for coffee in Starbucks is tremendously long"&quo...

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    The company Lucas-Nülle develops training systems for technical training and studies. We recently added machine learning to our program: So far we have limited ourselves to computer vision, i.e. classification and object detection. We use the Jetson Xavier NX with Tensorflow 1.15 (Python 3.6.9) for this. In the next step, we want to connect the Jetson Xavier NX to our digital controller via the CAN bus and in this way control our inverted pendulum. This already works with a cascade controller and a state controller: Now the system is to be regulated with an AI controller and we are currently looking for an expert in the field to support us with this. The tasks are: • Connection of the Jetson Xavier NX with our digital controller using

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    ...Visual Studio C++ via vcpkg. Two kind of models should be calculated: A) Classification models B) Object Detection models Under the link you can find 2 files: Sample for Classification model Sample for Object Detection model I have installed in vcpkg the following packages: tensorflow-cc:x64-windows 2.4.1#1 tensorflow-cc:x64-windows-static 2.4.1#1 tensorflow-common:x64-windows 2.4.1#3 tensorflow-common:x64-windows-static 2.4.1#3 The tasks are: 1) Calculate Classification model in Visual Studio C++ via vcpkg with shared libs (dynamic linking) 2) Calculate Classification model in Visual Studio C++ via vcpkg with static linking 3) Calculate Object

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    ...for your data. * Define the target variable, and use at least 4 predictor variables ( x1 , x2 , x3 , x4 ). * If you are collecting your own data and if it is hard to collect a large number of observations, a sample size at least 30 to 100 or is acceptable. If the dataset is from the data science website (e.g., like ), the number of observations may be much larger. If the data set is too large, you can select a subset of it (e.g., a thousand or several hundreds) for your study. 4) Analysis. Training and validation data: Divide the data randomly into training (60%) and validation (40%) partitions. The training data is used in developing a model, and its usefulness is tested in the validation data. (Note: If the sample size is small,...

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    Construct a Convolutional Neural Network to classify the music based on predefined genres Deliverables: Model, Dataset, Application to Test, Documentation

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    The intention of this project is to allow students to apply the data mining techniques they learnt in class to analyze a real business/economic problem concerning classification. The response variable is either 1 or 0, i.e., belongs to a certain group or not. The main objective of this project is to develop a useful model to make classification to the 1 or 0 group based on the predictor variables. The project report 1 will include problem definition, data collection, model building and analysis using XLMiner, and conclusion. The report should be double-space typed and presented in a professional manner. Other than the correctness of the analysis, presentation and organization also counts.

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    The intention of this project is to allow students to apply the data mining techniques they learnt in class to analyze a real business/economic problem concerning classification. The response variable is either 1 or 0, i.e., belongs to a certain group or not. The main objective of this project is to develop a useful model to make classification to the 1 or 0 group based on the predictor variables. The project report 1 will include problem definition, data collection, model building and analysis using XLMiner, and conclusion. The report should be double-space typed and presented in a professional manner. Other than the correctness of the analysis, presentation and organization also counts.

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    Hello everyone and hope you are all well! I am seeking for a freelancer who is very familiar with classification in python for a small task. I will also need a small report so good command of english is a plus :) Budget: $50USD Deadline: 15/11

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    Hi ML Soft Tech, I noticed your profile and would like to offer you my project. We can discuss any details over chat.

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    The response variable is either 1 or 0, i.e., belongs to a certain group or not. The main objective of this project is to develop a useful model to make classification to the 1 or 0 group based on the predictor variables. The project report 1 will include problem definition, data collection, model building and analysis using XLMiner, and conclusion. The report should be double-space typed and presented in a professional manner. Other than the correctness of the analysis, presentation and organization also counts.

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    The response variable is either 1 or 0, i.e., belongs to a certain group or not. The main objective of this project is to develop a useful model to make classification to the 1 or 0 group based on the predictor variables. The project report 1 will include problem definition, data collection, model building and analysis using XLMiner, and conclusion. The report should be double-space typed and presented in a professional manner. Other than the correctness of the analysis, presentation and organization also counts.

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    Data scientist specialized in natural language processing models and linguistics, is needed with experience from 3 to 5 years working with natural language processing techniques, NLP models, speech or intent recognition and neural coreference. The tasks needed to be done include: '*¡Important! The above description is entiraly related to twitter's data, tweets or user profile. -Develop, train (tagging) and test model for gender inference selecting parameters such as description, tweet, colors on profile (feature analysis must be performed). Requirement note: ROC AUC and F1 score must not be under 0.85 if a classification model is used.

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    Data scientist specialized in natural language processing models and linguistics, is needed with experience from 3 to 5 years working with natural language processing techniques, NLP models, speech or intent recognition and neural coreference. The tasks needed to be done include: -Develop intent analysis script or model (if needed). Intent analysis or classification will be focused or above important aspects. First, intent for speech that shows intentions to accquire a certain product. Secondily, intent for speech which already accquire the product and lastly, intent for any other type of intention. The approach is up to the data scientist. Requirement Note: ROC AUC and F1 score must not be under 0.85 if a classification model is used.

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    Data scientist specialized in natural language processing models and linguistics, is needed with experience from 3 to 5 years working with natural language processing techniques, NLP models, speech or intent recognition and neural coreference. The tasks needed to be done include: *¡Important! The above description is entiraly related to twitter's data, tweets or user profile. -Develop, train (tagging) and test model for age inference selecting parameters such as friend's list, tweets where age is explicitly mentioned (feature analysis must be performed). Requirement Note: ROC AUC and F1 score must not be under 0.85 if a classification model is used.

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    Hello everyone, I am looking for a deep learning engineer expert who can help build a model with 85 to 88% accuracy in classifying breed of animals. Message me for further details. Pytorch module will be used. Having a GPU is an added advantage.

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    Hello geek, I'm having a dataset of 500 images(2 classes) and wanted to do image classification. I would like to see this dataset trained on multiple ML&DL Algorithms using KERAS or Sci-kit Learn in Python. Algorithms may include SVM, Random Forest, custom-CNN, MobileNet, Efficentdet-D7, or anything you are comfortable with. What else you could provide: 1. Basic performance Visualizations(Train, Validation acc/loss plots) 2. Evaluation metrics (Acc, Precision, Recall, F1 score, Confusion Matrix) 3. Comparing which model is performing better. Additional benefit: On successful completion, you may be offered the opportunity to work on more similar datasets and get paid per project.

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    The project is I'll provide the plant diseases related extracted details in csv file. you should build the text classification model to find disease name, plant name, treatments etc.

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    Looking for someone to assist me with my Canada Immigration where I have already done my language test IELTS and have done also my education assessment (bachelor degree). I'm interested in finding an authenticated valid job offer letter since it is the biggest ...need to verify that it is as per the conditions mentioned in the below link and then only payment will be released. Most important is that the offer letter needs to include or accompanied by Labour Market Impact Assessment (LMIA) number and National Occupational Classification (NOC) code related to the job Please let me know your suggestions or what you can do to help me achieve this objective. Thanks

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    DUE NOV 8 2021 @ 11:59 PM EST ** Find some pictures of tattoos online. Then, write a classification and division essay that discusses the kinds of tattoos you discover. Be sure your essay has a thesis statement that makes a point tattoos, and use exemplification, description, and comparison and contrast to support your thesis. Be sure to acknowledge sources you use, including history of tattoos, tattoos in various cultures, and/or personal interview with a tattoo artist, etc... Please send me the links of the sources used please!!

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    I want a complete ANPR Solution for Indian Number Plates. if someone have developed any complete solution for number plates of india can bid. Requirements 1. Highly accurate OCR (not third party) 2. Vehicle Classification 3. can work on multiple camera stream 4. service for the same to run in background 5. reporting

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    The data contains a total of 1728 examples classified into acc, unacc, good and vgood based on 6 attributes. buying: vhigh, high, med, low. maint: vhigh, high, med, low. doors: 2, 3, 4, 5. persons: 2, 4, 5. lug_boot: small, med, big. safety: low, med, high. 1. You must code your decision tree classifier (ID3) model from scratch. Include the entropy calculation and information gain to compare the accuracy of your model. You can take reference and code by your understanding, but you cannot copy code from online and just cite them. 2. Use the trained decision tree to classify the training and test instances. Print accuracy and classification matrix of the tree. 3. Print and comment which feature has more information gain in your decision tree splits.

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    ...answer the following questions in short answer form (complete sentences, well-developed responses) about your chosen work in support of the importance of this text to world literature Would you classify this text as creation myth, wisdom literature, religious text, philosophy, political writing, poem, play, narrative fiction? Multiple classifications may be possible. How does it fit into this classification and what makes it an exemplary text of its type? How does this text speak to you as a modern-day human? How does it express human consciousness? In other words, how is this text universal in its ideas and messages and how does it reflect our shared human inheritance? How does this text exemplify high quality writing or show cultural significance? Use specific examples from th...

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    classification based on the majority voting method. we will get 3 classification results because we have 3 calssification voting systems 1: ISVM-RBF with DT+Knn 2: SVM-polynimoal with DT+Knn 3:SVM-linear with DT+Knn

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    Hello there, I need someone who is really professional in doing publish papers in the Machine learning and computer science field. I want help in doing literature reviews for 30 papers, with doing a table of the state-of-the-art accuracy results for some datasets. we will discuss the details in the chat.

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    I'm looking for a data scientist with: - NLP experience, specifically around Python data stack (NumPy, Pandas) and related topic modeling and text classification work - experienced in relevant NLP/ML libraries (Gensim, LDA/NMF, BERT, GPT-x, etc.) - has knowledge and training around statistics / data science I'm trying to design a workflow that allows us to input a list of labels or topics to tag those articles. I need to be able to re-use the workflow across websites, each of which is very domain-specific. The deliverable should be a python notebook that allows me to: - configure number of topics in a topic modeling process based on the corpus - import a list of hand-identified labels we would like pages topics to be checked against - apply those la...

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    I need to Create a model with webapp,. And need to extract every Information in a structured format . I have my own dataset like bank documents with different format needed to be classified with 3 classification algorithm to check the best accurate algorithm. And perform Named entity recognition(NER) again compare NER with OCR and tesseract

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    I need to Create a model with webapp,. And need to extract every Information in a structured format . I have my own dataset like bank documents with different format needed to be classified with 3 classification algorithm to check the best accurate algorithm. And perform Named entity recognition(NER) again compare NER with OCR and tesseract

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    High Resolution Hyperspectral Image Classification Using DenseNet.

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    Hi I need to rebuild the main steps of code from a specific paper but on different data. To classifify ASD using deep learning and structural MRI & phynotypic data #python

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    ...consideration will be contacted. Riipen is an Equal Employment Opportunity employer. Employment decisions are based on merit and business needs, and not on race, colour, creed, age, sex, gender, sexual orientation, national origin, religion, marital status, medical condition, physical or mental disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state or provincial and local laws and ordinances. Reasonable accommodation is available for qualified individuals with disabilities, upon request....

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    i have tow codes the first withoute error : yous should approve the performance for modeles the seconde : yous add a prediction withe the micro of your laptopot ( already done in the first code ) you should slove the errors for the feautres for inspiration :

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    using Ensemble DL model for multiclass classification algorithm CNN

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    implementing rest api for our pytorch transformers ai model. We have decided to use Pytorch Serve. The inputs will be json and outputs will be text. There might be need to make some helper files for handle fil...inputs will be json and outputs will be text. There might be need to make some helper files for handle file in order to manipulate inputs to the correct format. Deliverables We need help implementing Pytorch Torchserve for our Pytorch Transformers Model. The handle need to be created to allow posting inputs using rest api in json format and output should be the prediction of our model. Also classification code need to be coded in order to allow the inputs to be in specific format, but our current model has already examples from where the developer can start. The code is usi...

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    Need an Arabic speaking Data classification consultant for a project for 4 weeks in Riyadh. Good budget.

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    Objective(s) of project: 1. To analyze the similarities and differences in related works ...Look & Feel (LF), Maintainability (MN), Operability (O), Performance (PE), Portability (PO), Scalability (SC), Security (SE), Usability (US), Non-Functional Requirements detection. 2. To develop a Non-Functional Requirements Detection Model using NLP technique for features extraction and Machine Learning algorithm (Improved SVM-RBF, SVM linear, SVM polynomial with Decision tree and KNN) for classification. 3. Also you have to tell me how to do the preprocessing. 4. To evaluate the performance of the model based on Accuracy, Precision, Recall, and F-Measure metrics. PLease see the attached file for more details. Algorithm, Machine Learning (ML), Python, Software Development, Softwa...

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    Python project Tamat left

    classification model with small data

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    Hi Ievgen G., I noticed your profile and would like to offer you my project. We can discuss any details over chat. I have an algorithm about: (CNN Model for Multi-Label Image Classification). Blockchain technology, Encoder, decoder, and GRU are used in this algorithm. in the attached file, I have the algorithm in detail with the dataset used and the experimental results. So I have an algorithm, but I don't have the code. Can you help me with coding? I need python code, I prefer using the Colab platform but it is ok if you didn't use it.

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    The intention of this project is to to apply the data mining techniques to analyze a real business/economic problem concerning classification. The response variable is either 1 or 0, i.e., belongs to a certain group or not. The main objective of this project is to develop a useful model to make classification to the 1 or 0 group based on the predictor variables. The project report 1 will include problem definition, data collection, model building and analysis using XLMiner, and conclusion. The report should be double-space typed and presented in a professional manner. Other than the correctness of the analysis, presentation and organization also counts.

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    Take live data feed front dtn indeed to be process on the local pc , than take that data to azure pipeline to performance at classification on la row , will be use on minutes and day bars

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    Use the attached mind mapping sheet for brainstorming your topic AND include it with your essay. Think carefully about the basis of classification you want to use and make sure that all of your categories fit this basis. Also, be sure to include in your essay all of the good qualities of classification discussed on the week 7 lecture notes.

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    Search on the Products and Activities International Standard

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    Hi, I have to develop a CNN + LSTM architecture and I need an help. Please, are you interested to have an hourly payement for a number of hourly remote meetings aimed at assisting me for the development of the above video classiification architecture? my need is to work in real time by a remote video call also in order to define - minue by minute - how to adapt the code on my needs, and also in order to learn from the freelancer

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    Hello there, first of all please check the file before you take this project: I have an algorithm about: (CNN Model for Multi-Label Image Classification). Blockchain technology, Encoder, decoder, and GRU are used in this algorithm. in the attached file, I have the algorithm in detail with the dataset used and the experimental results. So I have an algorithm, but I don't have the code. Can you help me with coding? I need python code, I prefer using the Colab platform but it is ok if you didn't use it.

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    ...updates on .php like : 1- In admin panel ( Site description Won't save changes if I change the details like site name .... etc ) . 2- Add beamer notification and remove the old beamer notification which is built in with script . 3- The Script has an option to let the customer choose the color of page , I want to change the default color to another one . 4- Rearrange 4 boxes in main page . 5- Classification of the users based on the amounts paid and showing them on one of boxes mentioned in #4 ...

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    The following project takes you through implementing the decision tree algorithm. It involves simple data manipulation/visualization, hyperparameter selection, recursion, and building a simple prediction model. We will use a binary classification problem for existing code.

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    ...answer the following questions in short answer form (complete sentences, well-developed responses) about your chosen work in support of the importance of this text to world literature Would you classify this text as creation myth, wisdom literature, religious text, philosophy, political writing, poem, play, narrative fiction? Multiple classifications may be possible. How does it fit into this classification and what makes it an exemplary text of its type? How does this text speak to you as a modern-day human? How does it express human consciousness? In other words, how is this text universal in its ideas and messages and how does it reflect our shared human inheritance? How does this text exemplify high quality writing or show cultural significance? Use specific examples from th...

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    i will make machine learning for identification bloody image and non bloody image using GLCM and Color Histogram method for features extraction and using SVM method for classification.

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