Knime classification jobs

using Ensemble DL model for multiclass classification algorithm CNN

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...

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

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...

classification model with small data

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.

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.

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

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.

Search on the Products and Activities International Standard

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

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.

...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 ...

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.

...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...

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.

i want to build machine learning for identification bloody image and non bloody image using method GLCM + PCA and Histogram color for features extraction and SVM method for classification.

Using CNN or LSTM, develop a neural network application using python to detect vulnerabilities. Diverse machine learning techniques such as Deep Neural Networks have been successfully applied to malware static analysis. By directly using the source code as input, or the opcodes derived from it, a classifier is able to distinguish between benign or...vulnerabilities of the software ().The goal of this project is to develop a software analysis framework based on neural networks, which will effectively detect one or several potential vulnerabilities in Java programs. First, the source code will be translated to bytecode (). This will then be passed to a Deep Neural networkfor its classification as robust or vulnerable code.

Im looking for someone that can write reports for me about classification record, records management

I'm choosing two developers to solve competitive programming problems in c++ or python. The classification step will be: 1 - Solve test problem for classification. The one that gives the cleanest code, and the best done in the test code, will be selected and awarded within the platform with 1000 dollars to participate in our company. In the test you will have 15 minutes to solve the test problem. otherwise, he will be disqualified.

Wanted to develop an online eBook (.pdf format) library so that the user can search by: 1. Title (name) of the book, 2. author’s First name, 3. author’s Last name, 4. Publisher, 5. Number of Pages, 6. ISBN, or 7. classification, When the search found the eBook, it will display Title (name) of the book, Author’s First Name, Author’s Last Name, Publisher, Year Published, Number of Pages, ISBN, Classification, and a picture of the book. A click will display the pdf. There are two types of users, one can download .pdf file and the other cannot download .pdf file. Both can view the .pdf file online. Data Entry page for uploading pdf files. Also have a counter for the number of eBooks in the server.

A data science who is able to answer theory questions about classification

You need some go in theory and good with classification

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using appropriate data sources to perform some exploratory data analysis and build one or more models such as (a classification model, natural language processing, recommunication system) that address useful predication and/or interpretation problem in any domain Metis projects are broken down in to 5 components parts -- design, data, algorithm, toll and communication that are each scored individually

I have finished working on my research I have presented my research I want experienced people to change my research to a publishable paper and publish it. The research is Deep learning and computer vision for video classification.

Need a professional programmer to create a model with dataset from github (google landmarks to train) and simulate as well.

Adenocarcinoma (AC) and squamous cell carcinoma (SCC) are frequent reported cases of non-small cell lung cancer (NSCLC), responsible for a large fraction of cancer deaths worldwide. In this study, we aim to investigate the potential of NSCLC histology classification into AC and SCC by applying different feature extraction and classification techniques on pre-treatment CT images. The employed image dataset (102 patients) was taken from the publicly available cancer imaging archive collection (TCIA). We investigated four different families of techniques: (a) radiomics with two classifiers (kNN and SVM), (b) four state-of-the-art convolutional neural networks (CNNs) with transfer learning and fine tuning (Alexnet, ResNet101, Inceptionv3 and InceptionResnetv2), (c) a CNN combined...

My project is based on youtube comments divided and classified into labels, I am getting the accuracy rate while doing multi-label text classification, But I would want to see actual classification results on text wise

The iris dataset (included with R) contains four measurements for 150 flowers representing three species of iris (iris setosa, versicolor and virginica). Select the links to be taken to the data of the three species and some notes on classification based on sepal area versus petal area. Iris Classification - Iris Data Set - 1. Inspect the iris data in R. 2. Use the summary code in R to perform descriptive analysis. Paste summary statistics into your report. 3. Draw a scatter plot for petal length vs petal width. 4. Use pairs command for creating pairwise scatter plot for all variables in the data set. 5. Find all possible correlation between quantitative variables. 6. What is the probability

Solve 3 ML theory questions using logistic regression, probability and classification concepts.

The broad area regarding the project is related to fingerprint identification and classification using CNN algorithm which is to be implemented using simulink on FPGA board

adjust the weights and biases of ANN by Using ABC Algorithm in MATLAB and use the ANN after optimization to classification.

Looking for machine learning modelling approaches to classify the given text with multiple labels. Requirments: - Textual data preprocessing (NLP) - Comments wherever applicable - readable code. - Performance metrics to determine the accuracy of the model classification Delivery : Saturday, Oct 30, 2021 Notes: -- Looking for daily updates and communication from the consultant. -- Dataset is around 25 Million rows -- Currently looking for only ML approaches. If satisfied can handover the next project for deep learning approach.

Title: Sign Language Recognition System on (Windows or Web System). - Detail information on the training set and testing set are expected - Detail evaluations in terms of performance are needed (comparative analysis). - How you have solved the issues of Overfitting / Underfitting. - Explain all the techniques such as Data augmentation, segmentation, ROI, Feature extraction, Classification, ML/DL Techniques, Image preprocessing (Enhancement :restoration).

Find how to videos from resources that are specified in the instructions. (Some of the videos will be provided to you already) Take those videos and - classify the detailed category of the content. Upload the edited video clips to a website. Add detailed metadata You need a strong understanding of general content and topics, strong english and grammar, fast internet connection, and be clever. Target $3.50 an hour with potential bonus

Hi, In this project I will need a python-jupyter notebook implementation of 2 classification algorithms for churn prediction as well as basic exploratory analysis and evaluation of the models. I will be sharing the project description and the data files bilaterally. Thanks!

My project is on vision baset gait classification of abnormal and normal subjects

Video Classification on UCF50 DATASET USING 3DCNN

Clustering and Classification, Data Models, the Relational Model, Personal Data and Security, Probability and Statistics, Data Visualization, Applying Data Management to Business-week, XML

need someone with knowledge in regression, classification, clustering, etc.

NLP developer for text classification, based on the frequency and Topic modeling with Machine and model. Model handle any dataset and create topics segmentation of words, and associated with one word.

it is mainly about soil classification and properties there are calculations and some writing to be done , i need in one day from the time i post this , my budget is 40 canadian dollars but it can be negotiable

A data set will be given with which several functions, classification, regression, dimensionality reduction, data visualization and some programming is to be performed.

We need to classify Arabic questions into categories where each category contains similar questions, which are related to the same topic. Our problem is a multi-label problem as the same question may fall on one or more category. The classification must be a real time so we need to use the on-line classification algorithms.

Build Kubeflow Pipeline with independent working components on GCP for Computer Vision and model training. 1) Image Processing (Cropping, Rotation and Perceptive Correction) 2) Segmentation 3) Barcode Detection 4) Image Classification 5) Reading Alphanumeric Characters 6) Line Detection

For this essay, you will choose a topic that reflects classification/division (types of _____: friends, roommates, summer movies, teachers, weddings, relatives, etc.) OR cause/effect (why reality shows are popular; why I fear _________; why I love __________; effects of peer pressure, teenage depression, stress, etc.). MLA format At least 1000 words

Hi, It is necessary to design an interface to enter information in the classification system, where the competitors and the events in which they participated can be entered, so that they can be assigned points and then show an ordered view of the ranking. The platform must be displayed on a website, to be able to give private and restricted access for administrators, who are in charge of filling in the system, and a public view to display the ranking that can be accessed without any restriction. The main fields to show are: # Rank position, Competitor, Club / League, Total Points, 1st event points, 2nd, 3rd, 4th, 5th, 6th ..., Category, Weight Division, Classified, ... among others. Example: 1 SMITH John MEX 4841 2000 1000 490 - - 648 350 250 3 - - 100, Senior, 60kgs,Y Both use...

I have a CNNs model which do image classification, my inputs 2 dataset each one alone. It is working fine with one of them and not working with the second The images show as black ⚫ after the prossing part

Hi, I need some help from you in our B. Tech. Project. The topic of our project is Twitter Sentiment analysis using CNN deep learning model. So, far I have implemented the basic code of CNN and RNN. We are following the research paper, particularly in the ASPECT LEVEL SENTIMENT CLASSIFICATION. Do you have any past experience related to this topic? Can help me to complete it as soon as possible. I am attaching the research paper and our project report. Basically, I need to improve the basic CNN algorithm which we have implemented. You can go through our report and research paper. Tell me if you are confident about the project.