Sains Data Jobs

I am looking for a freelancer who can help me build a cloud-based spam message filtering system using machine learning. The ideal candidate for this job should have experience in developing anti-spam solutions. Requirements: - Develop a cloud-based spam message filtering system using machine learning Skills: - Machine learning - Cloud computing - Anti-spam solutions development - Gmail and Outlook integration If you have the required skills and experience, please submit your proposal. Thank you.

I am looking for a skilled data scientist to join my team and help us with our data analysis project. Our goal is to go through the data we have and develop insights, predictive models and machine learning algorithms for us to use. This project does not assume any prior knowledge or programming language preference, so anyone who has a solid scientific understanding of data is preferred. We are working with structured data, such as spreadsheets, that will require some creativity for the underlying analysis. This is an interesting opportunity to make an impact and help us find valuable insights in the data.

I am looking for a freelancer to help me with my project responsibility: Bengali Dataset Annotation. I need to have images annotated with specific guidelines and want the freelancer to be aware of this. The dataset to be annotated is of a medium size, within 250 images. The annotated input should then come out as accurate and relevant labels or categories. I have prior experience in the field and expect quality output and efficient delivery. I look forward to hiring a professional and reliable freelancer skilled in annotation for this task. The attached is a sample image in Hindi and its corresponding annotation. I will provide the images via 1-1 conversation.

I need to create a cost prediction system for purchasing PPE using a machine learning model to help the company better plan its budget and avoid unforeseen costs. For this, I will need to gather historical data on costs related to the purchase of PPE, as well as data on the factors that influence these costs ( category of the PPE , its performance, its raw materials, its type, its universal safety standards, its period of life, etc.). the data file should be like ( the attached file ) and please add new efficient attributes that influence the PPE price like period of life and raw material and users feedback

I am looking for a machine learning expert to work on a classification project using structured data. The goal of the project is to accurately classify data based on certain parameters. The ideal candidate should be proficient in decision tree algorithms and have experience with classification projects. Specific requirements for the project include: - Developing and implementing decision tree algorithms for classification - Handling and working with structured data - Ensuring the accuracy of the classification model Experience with other machine learning algorithms is a plus. The project will require strong analytical skills and attention to detail. The ideal candidate will have a track record of successfully completing similar projects.

I am looking for a skilled freelancer to help me with a surface complexation system project focused on mineral surfaces. Specifically, I need someone with experience in environmental analysis to assist me in understanding the surface interactions of minerals. will send more detail in via chat. If you have the necessary skills and experience, please submit a proposal. Thank you.

- Introduce the relevance of the modelling exercise (from general to the specific, 3 paragraphs) - Critically review a set of thermodynamic constants from at least 2 sources - Include components seen in the course (e.g., speciation and adsorption) - Present a table of log K values added or updated in an existing database along with equations and relevant references - Present , using PHREEQC-generated figures, the results of the model along specific scenarios - Discuss the results and sources of uncertainty - Briefly conclude by summarizing the main finding of the exercise (from the specific to the general, 2 paragraphs) - Attach a functionnal PHREEQC code and the database allowing us to reproduce your results.

- Introduce the relevance of the modelling exercise (from general to the specific, 3 paragraphs) - Critically review a set of thermodynamic constants from at least 2 sources - Include components seen in the course (e.g., speciation and adsorption) - Present a table of log K values added or updated in an existing database along with equations and relevant references - Present , using PHREEQC-generated figures, the results of the model along specific scenarios - Discuss the results and sources of uncertainty - Briefly conclude by summarizing the main finding of the exercise (from the specific to the general, 2 paragraphs) - Attach a functionnal PHREEQC code and the database allowing us to reproduce your results.

We have A Keyword Clustering tool The module provided Ingests two Objects, One named Searcher and other named Results Searcher Array of Objects contains Keywords along with their Amount of Strength On basis of them being a good SEO keywords, and their positions And Results Array containing Number of results found based on that related Keyword And by Parsing them in Calculate Distances function we get a distances Object, the main object which would dictate the Clustering Algorithm Our purpose here is to Merge all related keywords and combining their strengths and until No loose keywords remain and all related keyword are seperated in their own segments This purpose was being solved for us using Hierarchical Clustering Algorithm But This module is unable to ingest more than 2000-3000 ke...

The work need to build classifiers using the techniques. At the very minimum, you need to produce a classifier for each method (DT, KNN, RF, SVM and NN). However, if you explore the problem very thoroughly, preprocessing the data, looking at different methods, choosing their best parameter settings and identifying the best classifier in a principled and explainable way, will be needed. If you choose to use KNIME and you show 'expert' use (i.e. exploring multiple classifiers, with different settings, choosing the best in a principled way and being able to explain why you built the model the way you did), optimize and test different models, this will be better.

Confirmis is a Singapore-based business information provider specializing in connecting businesses with global capabilities; comprised of industry veterans, Confirmis business model is designed to overcome perennial lack of data (let alone quality data) to support effective decision making, particularly in developing economies. JOB DESCRIPTIONS & REQUIREMENTS: - The researcher will conduct research to identify all available state (provincial) and national litigation sources (court database); - Conduct research the provided individual(s) in all litigation sources in both native language and English; - Conduct research the provided individual(s) in all local and national news medias in both native language and English. Example of worthy and relevant news: -Court (legal) actio...

I need the Data science expert for multiple jobs. Details will be discussed.

I am looking for a skilled freelancer who can use the SOM Deep learning model to make clusters for my project. The purpose of the clustering is to identify patterns in numeric data. The desired output format is a visual representation. Ideal skills and experience: - Strong background in Deep learning models - Experience with SOM clustering technique - Proficiency in working with numeric data - Ability to create visually appealing representations of data

Development of deep neural network for document layout analysis over publaynet dataset. You have to train on the publaynet dataset and develop a model for detecting the text, title, image, He/she has to use CNN or RNN or a combination of both or transformers to extract features from document images. He has to use transfer learning to conduct fine tuning of model pretrained on Publaynet Dataset. He has to compare different deep learning architectures like CNN, faster RCN, RNN, and transformer based models. He can use facebook detectron2 or Layoutparser for fine tuning The model will be trained on Publaynet dataset and its performance will be evaluated using metrics such as accuracy, F1 score, recall and precision. The performance of developed network can also be compared to existing ann...

Development of deep neural network for document layout analysis over publaynet dataset. You have to train on the publaynet dataset and develop a model for detecting the text, title, image, He/she has to use CNN or RNN or a combination of both or transformers to extract features from document images. He has to use transfer learning to conduct fine tuning of model pretrained on Publaynet Dataset. He has to compare different deep learning architectures like CNN, faster RCN, RNN, and transformer based models. He can use facebook detectron2 or Layoutparser for fine tuning The model will be trained on Publaynet dataset and its performance will be evaluated using metrics such as accuracy, F1 score, recall and precision. The performance of developed network can also be compared to existing ann...

The timeframe for this project is within 3 months, and I expect both visualizations and a written report as the output. Ideal skills and experience for this project include: - Proficiency in data analysis and machine learning techniques - Experience working with mortgage default data - Ability to create visualizations and reports that clearly communicate insights and findings - Strong attention to detail and ability to meet deadlines Title: Comparative Analysis of Interpretable Models for Mortgage Default Prediction Abstract: This project aims to investigate and compare the effectiveness of various interpretability methodologies for mortgage default prediction. We will employ the expertise of data scientists to explore three different techniques: Partial Dependence Plots (PDPs), LIME...

1. Xây dựng mới hoặc Lập báo giá di chuyển hạ tầng quản trị cơ sở dữ liệu môi trường đám mây 2. Bảo trì hoặc Lập kế hoạc triển khai hạ tầng dữ liệu môi trường đám mây Make a quotation, Deployment and Maintenance of infrastructure in cloud environments. Evaluating resource sizing, Enforcing resource usage restrictions Làm việc cùng các thành viên toàn cầu (Participation in 24/7 on-call duty rotation together with members in other location globally).

The project aims to develop a system of recommending social tourist destinations for Vietnamese and international visitors. The goal is to provide quality and personalized recommendations to users, helping them discover and experience fascinating destinations based on information about places, attractions, and reviews from visitors. Input data: The project uses data from public sources such as Vietnam National Administration of Tourism (VNAT) or travel review sites such as TripAdvisor. The data may include information about landmarks, attractions, reviews from visitors, and other relevant information. Output data: The system will suggest tourist destinations based on user preferences and choices. A recommendation result can be a list of tourist destinations ranked by user relevance.

DeepChemSynth is a project that requires an expert level of knowledge and experience in drug discovery. Our desired outcome is the identification of potential drug targets using publicly available datasets. The ideal candidate should have a strong background in chemistry and bioinformatics, as well as experience in machine learning algorithms. The project will involve analyzing large datasets and using artificial intelligence techniques to identify and validate potential drug targets. The candidate should also have experience in data visualization and reporting to effectively communicate findings to our team.

Hi I have 2 projects for data scientist its not complicated , I will provide you files , benchmarkscripts , submission format pretty much everything. If both of my projects get completed in timely manner then ill hire someone for a long term. thanks

Check this out ai project - Data Analysis and Insights from Image Data Our goal for this AI project is to analyze image data and provide valuable insights. We require an experienced data scientist who can work with image data and develop algorithms for analysis. Key Requirements: - Strong experience working with image data and analysis - Proficient in developing machine learning models for image data analysis - Familiarity with deep learning frameworks - Ability to provide valuable insights from analyzed data Frequency of analysis: - Data analysis will be required on a weekly basis. If you have the required skills and experience for this project, please submit your proposal.

I am looking for a code which is avaialble online for a research paper on methods for evaluating digital twin

Text classifications BERT, double BERT, triple BERT *Get measures for (BERT) Type 'This is doable' at the start of your proposal *Make Bi BERT (double BERT)-> take the output 150 features from BERT as input to biBERT layer *Get measures for (biBERT): 150, 100,50 features as output from BERT and input to biBERT *Get measures for(TriBERT): TriBERT (triple BERT) take the output 100 or 50 output feature of biBERT as input to triBERT *Repeat the pervious by changing Bert to be ( RoBERTa, DistilBERT, XLNet) Check the optimization of each method of them as a standalone method before making bi and tri -Code should be general to any dataset with any number of classes -classifiy emotions to 7 classes (anger, disgust, sadness, fear, joy, shame, and guilt.) - Data Preprocessing - Data...

I am seeking a developer to create an algorithm that can make a single prediction based on data from existing datasets. I have looked at the available choices and decided that numbers will be the best form of data to have inputted into my algorithm. The goal of this algorithm is for it to make a single prediction, rather than statistical clustering or a range of predictions. The inputs available to the algorithm will be data from existing datasets. This algorithm needs to be powerful, accurate, and efficient while making reasonable predictions. The ideal developer will be skilled in utilizing machine learning, deep learning with neutral network and artificial intelligence, and other related technologies to help create the best possible algorithm.

I only need a model no front end for : 'First, we collect data on the user's browsing history, app usage, calendar events, and location. We ensure we have the user's permission to access this data and store it securely on the device using SQLite. The data is then cleaned and processed, and important features are extracted to understand the user's interests. This could include frequently visited websites, commonly used apps, or types of calendar events. We then design a machine learning model, trained directly on the device, to create a profile of the user's interests. The model uses unsupervised learning techniques like clustering and Natural Language Processing (NLP) for keyword extraction. Depending on the complexity of the data, deep learning techniques might ...

We are startup company looking for Freelancer developing Large Language Model and partner work with our business ideas.

I am looking for a skilled developer to help me create an attribution model for both online and offline campaigns. The primary goal of these campaigns is to increase brand awareness. Currently, I am considering a multi-touch attribution model. Our goal is to understand how a campaign is performing during the flight period and with that information reinvest the media budget between channels. Ideal skills and experience for this job include: - Strong understanding of attribution modeling - Experience with both online and offline campaigns - Knowledge of tracking and analytics tools - Ability to work with large data sets - Familiarity with marketing and advertising industry trends - Excellent communication and collaboration skills If you have the above skills and experience, I wou...

Need to conduct GSA using Sobol for 21 inputs and 1 ouput where one of the inputs is manually enetered and is to be kept constant for 10000 Data points,I have a csv file with me of Data points with me as well a well trained MLP Rgressor model which is to be used for GSA,rest of the details i will share in the meeting.

To Conduct GSA Analysis using Sobol Method for 21 inputs and 1 output where 1 input is manually entered,I have a GSA Code with me,kindly help me finish this code within 2 days,i will explain everything in the meeting.

Contexto: O cliente, quer entender como está performando (em termos de sellout) uma campanha durante o seu flight (em mídias online e offline). A partir do modelo criado deverá ser possível identificar possíveis mudanças de rota e reinvestimento de recursos nos diferentes canais. Resumo da proposta: OBJETIVOS DO PROJETO 1. Analisar a viabilidade da utilização dos dados disponíveis para entender a relação entre diferentes canais de marketing e o retorno obtido pelo cliente. 2. Identificar direções de análise, tratamento e modelagem de dados que podem ser utilizadas para construção de um sistema confiável para medição do impacto dos diferentes canais. Observa&c...

Text classifications BERT, double BERT, triple BERT *Get measures for (BERT) Type 'This is doable' at the start of your proposal *Make Bi BERT (double BERT)-> take the output 150 features from BERT as input to biBERT layer *Get measures for (biBERT): 150, 100,50 features as output from BERT and input to biBERT *Get measures for(TriBERT): TriBERT (triple BERT) take the output 100 or 50 output feature of biBERT as input to triBERT *Repeat the pervious by changing Bert to be ( RoBERTa, DistilBERT, XLNet) Check the optimization of each method of them as a standalone method before making bi and tri -Code should be general to any dataset with any number of classes -classifiy emotions to 7 classes (anger, disgust, sadness, fear, joy, shame, and guilt.) - Data Preprocessing - D...

We are startup company looking for Freelancer developing Large Language Model and partner work with our business ideas.

I am looking for a skilled developer to create an AI machine learning risk and compliance tool that can be linked to chat GTP. The tool is intended for all industries, so the developer must have a broad understanding of various business sectors. I would prefer to use a supervised learning AI model For this compettion you are only required to build out full working mvp based on below. The qinner selected will then work on building out full scale system. MVP: The MVP would focus on collecting data from a single data source (such as company annual reports) and classifying the data into a limited set of risk categories. The AI model would be trained using machine learning algorithms to classify the data and the visualization would be a simple web-based dashboard that displays the relevan...