Bouldrnet clusteringJobs
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: Task a (Segmentation): Establish how many types of churners there are and the size of those types. This involves dividing the churners into segments. 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. ...
With a focus on the reorganization of data, this project requires the implementation of a Graph Neural Network to conduct graph clustering tasks. Working with Social Network Data specifically, we aim to uncover patterns and gain deeper insights. Key Requirements: - Proficient in Python programming, as it is the platform for this project - Understands the specifics of Node Classification, Link Prediction and, Graph Clustering - Demonstrable experience in working with Graph Neural Networks - Understands Social Network data structure Experience in graph theory or related fields and previous work with similar types of data are highly appreciated. This project calls for an individual who can operate meticulously, bringing substantial knowledge to the table to develop a Graph Ne...
I'm in need of a capable freelancer to help with writing and ...with writing and implementing machine learning code in R. My project touches on several aspects of machine learning, mainly focusing on: - Classification - Regression - Clustering I have a specific dataset to be used for this project which you'll be provided with. When bidding, please highlight your proficiency in these areas, including any projects you've worked on that are relevant. Ideal Skillset: - Proficiency in R - Experience in Classification, Regression, and Clustering - Strong understanding of Support Vector Machines - Knowledge of Generalized Linear Models - Experience with Cross Validation and K-Means Clustering. Your proposal should clearly outline proposed methodologies, d...
Face based image clustering using AI I want to cluster images as per faced data, this application is for event managements and photographers. Event organisers or photographers upload all the photos of an event like exhibition or wedding. Users just had to upload selfie to get all photos where the user is present
...experienced a notable decline in its top-ranking positions over the past three weeks. This downturn has accelerated post the Google Update in March 2024, prompting us to seek out a seasoned professional who can offer strategic insights and innovative solutions. Key Requirements: Extensive experience in achieving top 3 rankings for keywords with over 100,000 monthly searches. Mastery in onsite clustering and the latest link-building strategies. Ability to conduct thorough SEO audits and formulate effective recovery strategies. Familiarity with the latest SEO trends and the impact of Google's algorithm updates. Desirable Skills: A well-curated list of high DA sites in German and Dutch languages will be considered an advantage. We're looking for a candidate who is not o...
I am looking for an AI/Machine Learning Engineer with a proficient knowledge and experience in PyTorch and clustering algorithms. Your task will be to implement the Deep Continuous Clustering (DCC) algorithm, making sure to maximize efficiency and accuracy. Skills and Qualifications: - Expertise in PyTorch - Familiarity with clustering algorithms, particularly DCC - Strong problem-solving skills and a detail-oriented approach Project Specifics: - Implementation of the DCC algorithm using the PyTorch machine learning library - Adaptation and tuning of the DCC algorithm to meet the specifics of my project - Testing and debugging the algorithm to assure its functionality Please note that I have a specific requirement that PyTorch should be used as the main library for...
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... stochastic gradient descent, polynomial regression, ridge regression, lasso regression, elastic net, early stopping, regression trees) advanced supervised learning concepts (feature extraction, imbalanced data ,cross-validation, hyperparameter tuning with grid and random search, overfitting/underfitting), ensemble learning (bagging, pasting, random forest, adaBoost, gradient boost, xgBoost) clustering (kMeans) Main tasks: - Create assignments for participants in the course. We have an existing structure for the assignments and two example. Therefore, the main task is to search for new data sets for the assignments and adjust it to the new data. Maybe slight changes on the assignment structure is needed. - Correction of the assignments by participants: the participants of the ...
As someone who is managing a business, I am seeking an experienced Data Analyst to dive deep into my company's financial data. Your main task will be to utilize cluster analysis techniques, to unearth crucial insights for future operational decisions. Ideal Skills and Experience: - Proficient in using advanced clustering analysis methods - Comprehensive knowledge of financial data analysis - Experience in creating data-driven operational strategies - Proven ability to create clear and comprehensive reports Ultimately, your analysis will be an essential driver of our operational tactics, making this a vital role for our company. Your keen eye for detail and exceptional analytical skills will be valuable assets, as we seek to optimize and streamline our business operations.
I'm looking for an experienced OMNeT++ developer who can implement the LEACH (Low-Energy Adaptive Clustering Hierarchy) protocol for me. The main focus of the project is to improve the energy efficiency of a wireless sensor network which should help to extend the overall lifespan of the network. Here are the skills and experience I'm after: - Proven experience with OMNeT++ - Expertise in implementing networking protocols, particularly in wireless sensor networks - Solid understanding of the LEACH protocol - Knowledge about energy efficiency in wireless sensor networks All in all, the successful completion of this task involves designing and implementing the LEACH protocol using OMNeT++, with a clear focus on achieving energy efficiency in the network.
ML Engineer Responsibilities - Develop all data processing logic, combinations, and pathways for data preparation. - Implement ML models for clustering for outlier detection & removal. - Data ingestion pipeline requirements - Design & implementation of data science side of the entire Data Preprocessing Funnel Requirements - Proven experience as an ML Engineer or similar role. - Proficient in Python & related ML tools. - Familiar with ML algos. - Knowledge of statistical basis of ML models. - Ability to work independently and as part of a team. - Excellent communication and problem-solving skills. - Attention to detail and quality.
...understanding of machine learning algorithms and ChatGPT. The end goal is to create an automatic segmentation tool that will efficiently handle the segmentation process, specifically for numeric and categorical data. Ideal skills and experience: - Proficient in Python - Experience with machine learning algorithms - Knowledge of ChatGPT Specifically, I require the tool to: - Run segmentation or clustering independently - Accurately identify essential variables - Discard redundant variables - Iterate through available variables - Provide the optimal output results The tool should leverage machine learning algorithms to decide on the importance of variables. The ambition is to enhance the efficiency and accuracy of the segmentation process. Mastery in Python and machine learning...
I'm currently looking for a Data Scientist who is skilled in Python and experienced in implementing unsupervised learning, specifically, the Hierarchical Clustering algorithm. This project involves clustering numerical data and I require: - The development of a Python script that implements Hierarchical Clustering. - Expertise in handling numerical data sets and understanding of their unique characteristics in the context of clustering. - Deliverable in the form of a Dendrogram visual representation and the resultant grouped data sets. Your strong understanding of machine learning and data wrangling scripts would be ideal to accomplish this. Understanding of data visualization techniques would also be desirable. Please bid accurately based on these requir...
I'm seeking a proficient data scientist to develop an unsupervised learning algorithm in Databricks. The primary aim of this project comprises three-fold: data classification, anomaly detection, and clustering. The algorithm will majorly handle numerical data, so experience with this type of data is crucial. The project will involve working with a medium-sized dataset - between 1,000 and 10,000 samples. Ideal Skills and Experience: - Proficiency in unsupervised learning algorithms - Extensive experience with numerical data - Proficiency in Databricks - Experience handling medium-size datasets. Your primary responsibility will be creating an actionable, precise algorithm that can effectively classify the data, discern anomalies, and cluster data accordingly. Quick and effic...
I'm urgently in need of assistance with the development of a machine learning model using Python and Spark. Key tasks and re...development of a machine learning model using Python and Spark. Key tasks and responsibilities will involve: - Understanding the project requirements and preparing a workflow. - Building efficient machine learning algorithms for model development. The specific type of model isn't determined yet, so it's critical for you to have broad expertise in different ML models – classification, regression, clustering and more. The ideal candidate should possess strong skills in Python and Apache Spark, with a rich experience in machine learning. An ability to deliver high-quality work under tight deadlines is also vital. Please reach out if thi...
I am looking for an experienced data scientist to utilize clustering techniques, ideally DBSCAN, for the segmentation of delivery areas. This project aims to construct delivery areas automatically, incorporating multiple dimensions including coordinates, weight/units, and road distances, type of delivery: Pickup/delivery. These factors are critical for optimizing the efficiency and effectiveness of our delivery operations. **Key Requirements:** - Strong proficiency in Python, as it is the preferred programming language for this project. - Previous experience with clustering, particularly with the DBSCAN algorithm, applied to real-world logistics or geographical data. - Ability to work with diverse data sources such as GPS coordinates, delivery records, and road network data....
