Googlemap clusteringPekerjaan
...sebagai lingkungan implementasi desain fisik, meliputi: desain tabel utama (base tables), representasi desain data tambahan (derived data), dan desain batasan umum (general constraints) b) Desain indeks yang meliputi analisis transaksi (pemetaan semua lintasan transaksi menjadi tabel, perhitungan perkiraan frekusensi transaksi, dan analisis penggunaan data), pembuatan indeks primer (primary indexes/clustering index), pembuatan indeks sekunder (secondary indexes) c) Perhitungan estimasi kebutuhan ruang penyimpan awal dari keseluruhan basis data yang disertai dengan rincian kebutuhan untuk setiap tabel dan juga kebutuhan untuk setiap indeks yang diperlukan d) Desain user views yang meluputi semua user views yang harus disesiakan disertai dengan definisi SQL create table atau SQL cr...
...sebagai lingkungan implementasi desain fisik, meliputi: desain tabel utama (base tables), representasi desain data tambahan (derived data), dan desain batasan umum (general constraints) b) Desain indeks yang meliputi analisis transaksi (pemetaan semua lintasan transaksi menjadi tabel, perhitungan perkiraan frekusensi transaksi, dan analisis penggunaan data), pembuatan indeks primer (primary indexes/clustering index), pembuatan indeks sekunder (secondary indexes) c) Perhitungan estimasi kebutuhan ruang penyimpan awal dari keseluruhan basis data yang disertai dengan rincian kebutuhan untuk setiap tabel dan juga kebutuhan untuk setiap indeks yang diperlukan d) Desain user views yang meluputi semua user views yang harus disesiakan disertai dengan definisi SQL create table atau SQL cr...
Membuat prediksi dengan fuzzy substractive clustering dengan data training data set yang inputnya : Usia, Usia kehamilan, BB, TB, HB. Untuk menentukan output: LILA dan TFU
Saya sedang mengerjakan tugas akhir saya mengenai peningkatan kinerja algoritma clustering menggunakan CUDA dan Matlab. Saya mengalami kesulitan pada set up awal, saya newbie dalam hal CUDA.
membuat mysql clustering untuk datacenter perusahaan
membuat mysql clustering untuk datacenter dan optimasi data reading dan writing
Menentukan apakah seorang siswa mendapatkan grade A,B,atau C dalam mata pelajaran tertentu dengan menggunakan algoritma K-Means. Hasil dari penilaian tersebut kemudian akan disimpan dalam sebuah record pada database
Saya membutuhkan suatu sistem aplikasi mobile yang berfungsi untuk mencari dan mentitik lokasi rumah konsumen yang akan melakukan kredit menggunakap googleMap api yang di dalamnya terdapat kolom untuk menginput data kordinat,nama,alamat,nomor HP konsumen dan juga terdapat kolom pencarian rumah konsumen yang telah di simpan.
Saya membutuhkan suatu sistem aplikasi mobile yang berfungsi untuk mencari dan mentitik lokasi rumah konsumen yang akan melakukan kredit menggunakap googleMap api yang di dalamnya terdapat kolom untuk menginput data kordinat,nama,alamat,nomor HP konsumen dan juga terdapat kolom pencarian rumah konsumen yang telah di simpan.
I'm in need of skilled machine learning developers with experience in SpringBoot and Scala. Your primary responsibility will be: - Training and tuning a clustering model. We are planning to apply this model for customer segmentation purposes. As such, the ideal candidate should: - Have previous experience in creating clustering models. - Understand the dynamics of customer segmentation. - Be proficient in data cleaning and preprocessing. - Have experience integrating and deploying machine learning models. You should be able to translate technical requirements into effective machine learning solutions and measure the effectiveness of the model's performance.
[Deadline Saturday 5 pm EST] Hello, I am trying to create some superv...carry out (include visualization). These insights are things that can be determined by examining the data through statistical analysis or other means. Predictions: shall include a prediction component (supervised learning) - include clustering, decision tree logistic regression, and k means (must have visualizations) The goal is to identify the best loans; most profitable, and load status for being paid off DELIVERABLES Finished code with all steps detailed below, data preprocessing and data cleaning, EDA including visualization, Supervised Data Model (Clustering, Decision Tree, Kmeans and Logistic Regression) the models must have visualizations CSV file link: [Deadline Saturday 5 pm EST]
I'm in need of a skilled professional to help me set up a high availability cluster for my web servers using Nginx. The primary goal for this cluster is to ensure load balancing, allowing for optimal performance across the servers. The ideal candidate will have experience in server clustering, particularly with Nginx, and will have a deep understanding of load balancing methodologies. You should also be familiar with high availability setups and be able to ensure a seamless failover process in the event of any server failure. The project will require a methodical approach and a strong attention to detail, ensuring that the cluster is set up correctly and is able to function effectively.
I'm seeking an expert in Excel analytics. This project involves working with existing but undisclosed business data to help me understand and optimize the business's ...understand and optimize the business's performance through indicators like KPIs. The freelancer's task encompasses: - The creation of robust dashboards that effectively communicate KPI outcomes. - The execution of classification analysis to differentiate key data points. - Clustering the data into discernable patterns to aid business decision making. Ideal skills for this job include Excel proficiency, data analytics experience, and an understanding of key business metrics such as KPIs, dashboards, classification, and clustering. A background in business data analysis and the ability to a...
Seeking a WordPress developer capable of the following tasks. This is a one-time job with potential for ongoing work: Implement link redirection from service cards on the...sections within the service page (create links to each section). Incorporate images/icons into sub-services sections of the service page; currently, it's text-only. Integrate icons/images that match brand colors into both the homepage and service page; currently, most icons do not align with brand colors. Fine-tune and align elements on the homepage and service page; currently, there are issues with clustering and misalignment of elements on these pages. Open to additional suggestions and improvements from the developer's side (optional). The budget for this work is $100, with a timeline of 4 days for...
...Responsibilities: Build an interactive dashboard using Tableau. Construct a narrative around the provided case study. Perform various data analysis tasks such as regression, clustering, forecasting, etc. Uncover patterns and changes over time within the data. Develop clear and visually appealing tables, graphs, and dashboards to communicate results and insights. Ensure the reproducibility of the analyzed data. Requirements: Proficiency in Tableau with demonstrable experience in creating interactive dashboards and visualizations. Strong analytical skills with experience in data analysis techniques such as regression, clustering, and forecasting. Ability to construct a compelling storytelling narrative based on data insights. Excellent communication skills. Attention to d...
...existing database. - AI Data Analysis: I'd like to incorporate AI data analysis functionality into my service. Specifically, I'm interested in pattern recognition and data clustering. Other Enhancements: - Batch Searching: I need to implement a batch search functionality. - Additional Database Integration: I'm interested in integrating new databases into my service. Ideal Skills and Experience: - Extensive experience in developing and improving online database searching services. - Proficiency in advanced search options, scraping, and AI data analysis. - Strong understanding of pattern recognition and data clustering. - Ability to implement batch searching and integrate additional databases. The ideal candidate will have a solid track record in enhancing...
I...sizable set of numerical data- comprising over 70,000 samples. Your task will be to make use of the training and test data I will provide to yield the most accurate predictions for the test data. Although I'm open to recommendations, my initial thoughts are to base this on Classification or Clustering methodologies. Your expertise in selecting and utilizing the most efficient algorithm is crucial. Requirements include: * Proven experience in machine learning, specifically with Classification and Clustering algorithms * Strong understanding of how to handle and analyze numerical data * Ability to deliver accurate predictions using large datasets. In your bid, please detail your experience with similar projects. Also, your suggestions for the machine learning appr...
I'm seeking a freelancer to assist with the implementation of a small scale natural language processing (NLP) pretraining experiment. We want to experiment with pretraining SLMs on clustered data. Required skills: - Transformers and language models - MOE architecture, including upcycling from dense models - SLM pretraining, using commmon frameworks - large text dataset clustering - Huggingface Your task will be to guide and implement the chosen experiment professionally and effectively. I look forward to your bids.
I'm seeking a machine learning wizard, proficient in diverse tasks including Classification, Regression, and Clustering. Ideal Candidate: - Expert in Python programming. - Comprehensive experience with prominent machine learning libraries including Scikit-learn, TensorFlow, and PyTorch will be essential. This project will require the development and fine-tuning of diverse machine learning models, hence requiring considerable expertise in the same field. Your role will not only involve model creation but also optimization and performance evaluation. Your ability to handle complex multi-dimensional dataset will be integral in this project. Please only apply if you possess these capabilities and are prepared for a power-packed machine learning project.
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I have clustering deep model, I think it is not working properly.
...efficiency, and fuel emission are correct. I then need to apply Principal Component Analysis (PCA), Clustering, and Partial Least Squares (PLS) regression techniques to the data. Key Requirements: - Data Cleaning: Ensuring all values are in their correct form - Feature Selection: Focus on Car model, Engine size, Fuel efficiency, and fuel emission values - Principal Component Analysis (PCA): For dimensionality reduction - Clustering: To identify inherent patterns and groupings within the data - Partial Least Squares (PLS): For regression analysis Ideal Skills and Experience: - Strong proficiency in data cleaning and analysis - Previous experience with Principal Component Analysis, Clustering, and PLS - Expertise in working with large datasets - A background in the ...
...Forest 5. Gradient Boosting Machines (GBM) 6. K-Nearest Neighbors (KNN) 7. Naive Bayes 1. Linear Regression 2. Polynomial Regression 3. Ridge Regression 4. Lasso Regression 5. Elastic Net Regression 6. Support Vector Regression (SVR) 7. Decision Tree Regression 1. K-Means Clustering 2. Hierarchical Clustering 3. DBSCAN (Density-Based Spatial Clustering of Applications with Noise) 4. Mean Shift Clustering 5. Gaussian Mixture Models (GMM) 6. Agglomerative Clustering 7. OPTICS (Ordering Points To Identify the Clustering Structure) Looking forward to seeing your proposals!...
I'm seeking a skilled freelancer in Python programming with a deep understanding of machine learning algorithms. The main goal...machine learning algorithms. The main goal of this project is to create a machine learning model with Python that can be used for classification, regression, or clustering. It's important that the freelancer is able to provide explanations of the code and the underlying algorithms used. This is crucial as I'd like to understand the process and logic behind the model. Chat with me for full project details. Ideal skills and experience for this project include: - Proficiency in Python - Strong background in machine learning algorithms - Ability to clearly explain complex topics - Previous experience with classification, regression, and clus...
I seek a solution-oriented software developer to create a specialized software for my Windows system, which can apply multiple prediction models to an Excel sheet. Key Functions: - Incorporating various prediction models: This includes not only regression, classification, and clustering models, but also decision trees, neural networks, random forests, and support vectors. Ideal Candidate: - Expertise in developing Windows compatible software - Strong understanding of data prediction models - Knowledgeable in Excel functionalities - Ability to integrate sophisticated prediction algorithms The final outcome should be a user-friendly software that enhances my productivity by allowing me to apply versatile prediction models to my data effortlessly.
Your task involves application of k-Means clustering in Orange data mining software with the aim to segment and profile the churners in Customer Churn file. By applying the k-Means clustering you need to explore how many types of churners exist and what characterizes those types. More specifically, this assignment consists of two tasks: ï‚· Task a (Segmentation): Establish how many types of churners there are and the size of those types. This involves dividing the churners into segments. ï‚· Task b (Profiling): Profile and appropriately name the identified types of churners based on the values of their shared characteristics, i.e. variables. Your submission ought to include: 1. Orange workflow1 containing the k-Means clustering analysis of segments and profiles. 2. Summar...
I require an expert in Asterisk and FreeSWITCH development, along with experienced system engineering skills. Specifically, I need help with: - Asterisk and FreeSWITCH development - Integrating VoIP - Setting up Call routing and IVR (Interactive Voice Response) - CTI - Skill group base call routing to agents. Apart from these, the implementation of Asterisk and FreeSWITCH clustering as well as Call Center Reporting is required. The technology stack should be Linux, PHP, MySQL along with postgresql and API knowledge. The freelancer should have considerable experience in these to meet the project's specific requirements.
Freelancer Project Description: Im...ideal candidate should have extensive experience with Google's E-A-T guidelines and the production of AI-generated content. Key requirements: Immediate availability for project commencement. Demonstrated success in the furniture niche with a robust network. Expertise in white hat strategies to achieve rapid and sustainable results. Proficient in advanced SEO tactics such as internal link juice clustering. Ability to collaborate using project management tools like Jira to organize and track tasks. Capability to devise strategic SEO plans and establish strong link networks without relying solely on purchasing links. We are looking for a strategic partner who can seamlessly integrate with our existing team to drive tangible improvements in ou...
I'm looking for a face clustering solution that can group similar faces together in personal photo collections. Key Requirements: - The solution should be capable of processing a large number of images in a batch, not real-time. - The primary objective is to identify and group faces with similar features together. Ideal Skills: - Proficiency in machine learning and computer vision. - Previous experience in developing face clustering algorithms. - Ability to handle large-scale image processing. If you have a solid track record in this field and can deliver an accurate, efficient, and scalable solution, I'd love to hear from you.
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 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 am looking for a skilled Data Science professional who can create beginner-level training projects in Machine Learning using Python. Key Project Details: - Topics: The projects should cover a range of basic Machine Learning concepts and techniques, and be suitable for beginners. Examples include linear regression, decision trees, and clustering. - Programming Language: Python is the preferred language for these projects, so a strong proficiency in Python is essential. Ideal Skills and Attributes: - Proven experience in Data Science and Machine Learning. - Excellent command of Python. The aim of these projects is to provide students with hands-on experience and a solid foundation in Machine Learning using Python.
...work in similar projects While applying, keep in mind: - Detailed project proposals - Demonstration of past work - Qualifications and experience in the sector PROVIDE SAMPLES OF LIVE COMPLETED WORK THAT IS SIMILAR TO THIS PROJECT. Overview We require the development of an application that uses machine learning for incoming invoices and receipts. Combining regression, classification, and clustering, the output is to establish a repository of purchases and create predictive analytics for future transactions. All invoices and receipts are received via email and the transactions need to be saved into the database. Scalability is integral to the design, as we expect to process over 100,000 transactions per day. To ensure you have read this scope, please include the word �...
I am looking for a skilled freelancer to analyze the sentiments of the reviews given by the customers in the data and make some useful conclusions. Read ML PROJECT GUIDELINES pdf for full details. Two dataset excel files are given. Project should be done in Sample submission colab notebook. An example project is also given for reference. Complete full project as in the noteboo...example project is also given for reference. Complete full project as in the notebook and guidelines. Requirements: - Analyze and categorize sentiments - Visualize the results - Cluster Zomato restaurants into different segments. Ideal skills: - Strong experience in machine learning - Proficiency in data analysis and visualization - Knowledge of sentiment analysis techniques - Familiarity with clustering ...
...Requirements: - Custom Layout and Styling: The visualization should be tailored to fit our specific needs, which include custom clustering and layouts. I have examples of the type of visualizations we're aiming for, which I can provide upon request. - React Component Integration: The D3 visualization needs to be implemented efficiently as a React component. Your ideal skills and experience for this job include: - Proficiency in D3.js and React: You should have strong experience and a proven track record in developing visualizations using D3.js and integrating them effectively into React components. - Custom Visualization Development: Experience in creating custom layouts, clustering, and styling within D3 visualizations is crucial. - Ability to work with provided ex...
I'm seeking a data scientist proficient in statistical analysis and data visualization. Here's what I'm looking for: - Proficient in Python to leverage its functions for data analysis and visualization. - Capable of performing regression and clustering analysis methods. - Strong understanding of data visualization techniques to interpret and present data findings. The freelancer must critically approach the data, apply the most appropriate statistical analysis techniques and translate the results into a comprehensive visualization. With the use of Python, the analysis should be efficient and the visualization informative and engaging. Prior experience in data science projects is crucial. The whole thing entails of 7 small projects with all in-depth information in t...
...dataset in the attachment, you need to do a visual analysis of clustering these cars. 1. You should pick at least four columns for clustering the cars. You are free to decide which columns to use and determine your rules for performing the clustering. 2. Using web-based techniques (e.g., D3.js) to visualize your clustering results. a. Use a circle to represent each car. b. Cars in the same cluster should be spatially placed near each other. c. Use different colors for different clusters. d. When mouse-hovering or selecting a car, you should show its detailed information from the given dataset. 3. You should answer the following questions, in addition to submitting your code. a. Which columns do you choose to perform the clustering? b. What is your rule...
Hi singhvirat3005, I noticed your profile and would like to offer you my project. We can discuss any details over chat. I need a machine learning project based on any data, it should include all classifications and clustering in it. The predictions made from the data need to be presented to any client(of your choice). All the predictions and various graphs need to be presented in a ppt format to the client. I need this done in the next 5 days.
Hi TheAVashe, I noticed your profile and would like to offer you my project. We can discuss any details over chat. I need a machine learning project based on any data, it should include all classifications and clustering in it. The predictions made from the data need to be presented to any client(of your choice). All the predictions and various graphs need to be presented in a ppt format to the client. I need this done in the next 5 days.
As an enthusiastic data client, I'm seeking a proficient and reliable individual who can take on combining multiple XML files for a data clustering task. Although I lack specified interest in any particular data clustering technique, the aim of this task ultimately is for data integration. Noteworthily, your skill set should encompass: - Expert level proficiency and hands-on experience with XML files. - Deep understanding of various data clustering types, including partition-based, hierarchical and grid-based clustering. - Excellent problem-solving skills, proactive in suggesting the best data clustering technique suitable for this project. Your role will be critical in creating a centralized system from diverse XML files, hence, your ability to ...
...dataset in the attachment, you need to do a visual analysis of clustering these cars. 1. You should pick at least four columns for clustering the cars. You are free to decide which columns to use and determine your rules for performing the clustering. 2. Using web-based techniques (e.g., D3.js) to visualize your clustering results. a. Use a circle to represent each car. b. Cars in the same cluster should be spatially placed near each other. c. Use different colors for different clusters. d. When mouse-hovering or selecting a car, you should show its detailed information from the given dataset. 3. You should answer the following questions, in addition to submitting your code. a. Which columns do you choose to perform the clustering? b. What is your rule...
Aim: Need to identify different types of skin discolorations like Nevus of Ota, Mongolian spots, Nevi, Albinism, and Melasma. Suggested Techniques: Binary conversion, color image conversion, gray-scale conversion, watershed method, noise reduction methods, K nearest neighborhood, morphological operation: erosion-dilation, clustering, Median filtering, edge detection, pixel count, object recognition, and threshold analyzing methods are used in this research to disclose the skin pigment discoloration information I am seeking a professional to execute an image segmentation project. The primary objective is to enhance, segment, and isolate areas of interest within a variety of medical images. Given that the type of medical imaging isn't specified, an ideal candidate should have...
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'm in need of an experienced web developer to create a sleek and functional analysis web page. Key Requirements: - In-depth understanding of website creation, particularly focusing on analytical data presentation. . You should pick at least four columns for clustering the cars. You are free to decide which columns to use and determine your rules for performing the clustering. 2. Using web-based techniques (e.g., D3.js) to visualize your clustering results. a. Use a circle to represent each car. b. Cars in the same cluster should be spatially placed near each other. c. Use different colors for different clusters. d. When mouse-hovering or selecting a car, you should show its detailed information from the given dataset sample data Model MPG Cylinders Displa...
...dataset in the attachment, you need to do a visual analysis of clustering these cars. 1. You should pick at least four columns for clustering the cars. You are free to decide which columns to use and determine your rules for performing the clustering. 2. Using web-based techniques (e.g., D3.js) to visualize your clustering results. a. Use a circle to represent each car. b. Cars in the same cluster should be spatially placed near each other. c. Use different colors for different clusters. d. When mouse-hovering or selecting a car, you should show its detailed information from the given dataset. 3. You should answer the following questions, in addition to submitting your code. a. Which columns do you choose to perform the clustering? b. What is your rule...
I'm searching for an Artificial Intelligence expert to develop a program that can understand and interact with my local database. Your work will involve; - Training the AI to perform data classification, clustering, and prediction. - Programming the AI to utilize this data to generate new documents. - Specifically, these documents will be engineered judgment reports. Ideal skills would include proficiency in AI, machine learning, data processing, and report generation, with a penchant for accuracy, detail orientation, and understanding complex engineering terms and concepts.
...paper) - Feature extraction: (make sperate folder after feature extracted) 1. Time-domain features - *short-term energy of signal, zero crossing rate, maximum amplitude, minimum energy, entropy of energy* 2. Frequency-domain features- * MFCC - [12 (form 26 mel freq), 13 delta,13 delta acceleration ], spectral centroid, spectral rolloff, spectral entropy and chroma coefficients* - Do K-means clustering, make confusion matrix and do MLP perceptron. choose epochs as per needed - Make a user interface model where input audio of unknown sample (3- second) is given and it can give o/p as emotion. (like use django or any other) Key Responsibilities: - Developing and implementing a speech recognition model - Ensuring the model can accurately process multiple languages ...
...responsibilities will include: 1. **Predictive Analytics**: Utilize machine learning algorithms to forecast future sales based on historical data, market trends, seasonality, and other relevant factors. Techniques such as regression analysis, time series forecasting, and ensemble methods can help you predict sales with greater accuracy. 2. **Customer Segmentation**: Apply clustering algorithms such as K-means clustering or hierarchical clustering to segment customers based on purchasing behavior, demographics, or other characteristics. This allows you to identify distinct customer segments and tailor marketing strategies to meet their specific needs. 3. **Recommendation Systems**: Implement recommendation algorithms such as collaborative filtering or content-base...
I require a Machine Learning expert who can proficiently work on A3C with LSTM and PPO using a Transformer or LSTM in Java (DeepLearning4j). The goal of the project is not specific, but involves skillful use of these ML algorithms. The freelancer can choose the path they find best, based on their expertise in either classification, regression or clustering. Ideal skills for this project would include: - High proficiency in Java - Firm understanding of machine learning, specifically with A3C, LSTM, and PPO - Experience with Transformer/LSTM - Problem-solving skills When bidding please include: - Relevant Experience - Past work in this area - A detailed proposal on how you would operate in this project I look forward to working together on this rich AI endeavor.
...and Preprocessing**: Implement techniques for extracting relevant customer data from CRM systems and databases, emphasizing data quality through thorough cleansing and preprocessing efforts. 3. Segmentation Algorithm Development: Design algorithms to categorize customers into specific groups using demographic data, purchase history, and individual preferences, employing methods like K-means clustering. 4. Marketing Campaign Creation: Develop a Retrieval-Augmented Generation (RAG) based approach to accurately interpret and categorize user-provided marketing instructions. 5. Content Generation Using NLP: Craft an agent for producing personalized marketing content aimed at distinct audience segments, leveraging text generation, sentiment analysis, and summarization technologies. ...
