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Python-Based Machine Learning Classification Task

€30-250 EUR

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Slået op cirka 2 måneder siden

€30-250 EUR

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Hello, I used the transformer and Federated learning methods FedPer and FedAvg in the field of HAR. In this way, I used only the Encoder part of the transformer and instead of applying positional encoding to the input, I applied it to the attention matrix. Then I came to the methods FedAvg and FedPer, on the client side, I used a transformer to train the model, and on the server side, I used a transformer to aggregate the weights. I considered the number of epochs as 100, and 2 learning rates, one 0.01 and the other 0.001, and batch sizes of 16, 32, and 64. I chose to measure the accuracy of the model in these lrs and different sizes.i have used two datasets (PAMAP2 and MotionSense) and my model gained 99 percent of accuracy. I want to test my model on another two datasets (WISDM and Opportunity) and i expect my model gain the accuracy between 95 and 99 like previous [login to view URL] it doesnt gain please tune it.I have provided detailes and codes in a zip file and also you can see the performance of the model on two datasets as [login to view URL] pay attentuion, i want my model gain that accuracy on all of mentioned bach sizes and lrs, not only one.
Projekt-ID: 37830809

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29 freelancere byder i gennemsnit €168 EUR på dette job
Brug Avatar.
I am experienced in Python-based machine learning tasks and have a strong background in transformer and federated learning methods FedPer and FedAvg. I have successfully achieved 99% accuracy on datasets PAMAP2 and MotionSense, and now I aim to test the model on WISDM and Opportunity datasets with an expected accuracy range of 95-99%. I can provide detailed codes and results for review.
€250 EUR på 2 dage
5,0 (169 anmeldelser)
7,7
7,7
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Hi, I hope you are doing fine. I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python and etc. I have PhD from Tohoku University and have several journal publications on the subjects. You can see portfolio for my previous projects. I read about your project and am interested in working with you. Please send me a message so that we can discuss more. Best regards.
€250 EUR på 7 dage
5,0 (47 anmeldelser)
6,8
6,8
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Hi there, I have thoroughly reviewed the details of your project involving the use of transformer and Federated learning methods FedPer and FedAvg in the field of HAR. Your innovative approach of utilizing only the Encoder part of the transformer and applying positional encoding to the attention matrix showcases a unique perspective. For the client-side training, you employed a transformer while utilizing another transformer on the server side to aggregate the weights, demonstrating a well-thought-out strategy. Setting the number of epochs at 100 and experimenting with two learning rates (0.01 and 0.001) along with batch sizes of 16, 32, and 64 reflects a comprehensive testing methodology. Achieving a remarkable 99% accuracy on datasets PAMAP2 and MotionSense is commendable. Your intention to validate the model on WISDM and Opportunity datasets with an expected accuracy range of 95% to 99% is ambitious yet achievable. In case the model falls short, fine-tuning it to meet the desired accuracy levels is a prudent approach. I appreciate the detailed insights and codes provided in the zip file, as well as the performance metrics on the initial datasets. Ensuring consistent accuracy across all mentioned batch sizes and learning rates underscores your commitment to robust model performance. I am confident that with your expertise and dedication, the successful implementation of the model on the new datasets is within reach. Your meticulous approach and focus on accuracy...
€140 EUR på 7 dage
5,0 (16 anmeldelser)
6,9
6,9
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>>> السلام عليكم <<< I'm sure that I can do this job. I'm artificial intelligence engineer experienced in Feature Engineering, Data Science, Statistics, Machine/Deep Learning & Numerical Optimization using Python Programming. I have accomplished many projects like yours, Also I will arrange with you to have a session to provide full illustration for you. Here you can find some of my clients reviews (https://www.freelancer.com/u/mohamedabdelall4 ). Feel free to contact me for further details because I am looking forward working with you. Thanks
€120 EUR på 2 dage
4,9 (44 anmeldelser)
5,8
5,8
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Hi there. ⭐⭐ I am a full stack Developer ⭐⭐ with experience in HTML, Javascript, Bot Developement, Web Developement, MY SQL, Machine Learning (ML), PYTHON, Deep Learning and Communications. I have worked with many similar projects as i have a team of enthusiastic developers. We strive to give our best. Please contact to discuss in detail.
€170 EUR på 3 dage
5,0 (62 anmeldelser)
5,8
5,8
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✅ HAR Model Enhancement Expert - Elevating Accuracy Across Datasets! ⭐⭐⭐⭐⭐ Hi there, I hope you're doing well. I've reviewed your project requirements and noticed you're looking to enhance the accuracy of your Human Activity Recognition (HAR) model using transformer and Federated Learning methods. Look no further; Zohaib is here to assist you! With our expertise in transformer-based models and Federated Learning techniques, we aim to elevate the accuracy of your HAR model across multiple datasets. ➡️ Why Me? With hands-on experience in implementing transformer and Federated Learning methods for HAR, we ensure efficient model enhancement to achieve your desired accuracy levels. Let's have a quick chat to discuss the details of your project and how we can optimize your model effectively. ➡️ Let's have a quick chat to delve into your project details. I'll showcase samples of our previous work and discuss the strategies to enhance your HAR model's accuracy across various datasets. ➡️ Skills & Experience: ✅ Transformer Models ✅ Federated Learning ✅ Model Optimization ✅ Hyperparameter Tuning ✅ Deep Learning ✅ Data Analysis ✅ Python Programming ✅ Performance Evaluation ✅ Accuracy Enhancement ✅ Dataset Management Looking forward to discussing this with you in our chat! Best Regards, Zohaib
€185 EUR på 7 dage
5,0 (33 anmeldelser)
5,8
5,8
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Hello Sir/MAM I am a skilled full stack developer. Having rich experience in Java , Python , C , C++ , C# , Eclipse , Sql , Mysql , .Net ,Oracle , Object Oriented Programming , Data Structure , Algorithms . I have a perfect grip on “Automation” , and work in “Machine Learning” Deep Learning ”. My track record as demonstrated in my 100% job completion and 5-star review rating showcases My ability to deliver exceptional results on time and with utmost quality I believe that my skill set makes me the ideal candidate for this project Please come on chat we will discuss more about this I will be waiting for your reply . Thanks and Best Regards
€40 EUR på 2 dage
5,0 (31 anmeldelser)
5,1
5,1
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I will show you my recent projects related to your project, and then we will move forward. So it's surety for you to get perfect solutions from my side. Also, if you want demo-type things or initial work for your project, then I will show you, and after that, we will finalize our project deal and payment milestones. I am from India, GMT +5:30, and I am available from 8:00 a.m. to 11:00 p.m. We have 16+ years of experience in software development. We have developed over 600 projects and research papers in the fields of machine learning, artificial intelligence, image processing (GIS), network, and SEO-based web and mobile apps. We have successfully completed the projects ChatGPT, Deep Learning, Computer Vision, Natural Language Processing (NLP), Encryption Decryption, Face Detection, UML Diagram, OCR, Big Data, Data Mining, Data Analysis, Statistics, Trading, Text, Image, Multiclass Classification Using Azure ML, Tensorflow, R Programming, OpenCV, Matlab, Hadoop, Artificial Intelligence Program Using PROLOG, Robotics Software, TCP-UDP Networking Project, Cloud Computing, etc. Note: The project has QA, testing, and comments in the code, so it's easy to understand the flow of the project.
€400 EUR på 7 dage
4,9 (17 anmeldelser)
5,3
5,3
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With a deep understanding of Python and its application in the AI field, I am confident that my skill set makes me a perfect candidate for your project. I bring valuable experience using transformers and Federated learning methods such as FedPer and FedAvg in Human Activity Recognition (HAR). In your project scope, I have used only the Encoder part of the transformer applying attention matrix positional encoding resulting in highly accurate models. Having already worked with 2 similar datasets (PAMAP2 and MotionSense) obtaining an impressive 99% accuracy under different training scenarios, my aim is to ensure the newly introduced WISDM and Opportunity datasets achieve between 95%-99% accuracy. Should there be a dip below the expected range, optimization to meet the desired threshold will be done promptly. I assure you dedication, tireless problem-solving, and successful execution of not just one chosen batch size or learning rate but all test configurations in order to accurately evaluate performance. In addition to my wealth of knowledge, my background spans across both backend and frontend development complementing my strong command over databases and proficiency using Node.js and React.js. These skills will not only help in executing your project effectively but also to create robust, scalable, efficient and user-friendly applications as associated with web development. Looking forward to collaborating with you-
€140 EUR på 2 dage
5,0 (30 anmeldelser)
4,5
4,5
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Hi. How are you? I read your project description.. I am a AI expert with 10 years of experience including ML. I have finished many application project of AI using Python . for example, object detection, image processing, data regression/analysis/classification To complete project choice me , I will give you perfect result on time. Please contact me to discuss the project in more details. Waiting for your contact now... Thanks. Best Regards.
€100 EUR på 7 dage
4,7 (8 anmeldelser)
4,7
4,7
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Hello handsome brother Solution for Python-based Machine Learning Classification Task: The task at hand is to build a machine learning model using Python that can accurately classify input data into different categories or classes. The following solution can be divided into different steps. Step 1: Data Preprocessing The first step is to clean and preprocess the data to make it suitable for machine learning algorithms. This may involve tasks such as converting categorical data into numerical data, handling missing values, and normalizing the data. Python libraries such as Pandas, NumPy, and Scikit-learn can be used for this purpose. Step 2: Feature Selection The next step is to select the most relevant features that can contribute to the accuracy of the model. This can be done using techniques like correlation analysis, feature importance, and forward/backward selection. Libraries such as Scikit-learn and Statsmodels can be used for this purpose. Step 3: Model Selection There are various classification algorithms available in Python such as Decision Trees, Random Forests, Support Vector Machines, and Neural Networks. The ideal algorithm for the task may depend on the data and the problem at hand. A comparison of different algorithms can be made to determine the most suitable one. Step 4: Model Training and Evaluation Once the model is selected, the next step is to train it using the preprocessed data. This involves splitting the data into training and testing sets, fitting the model on the training set, and evaluating its performance on the testing set. Performance measures such as accuracy, precision, recall, and F1-score can be used to evaluate the model's performance. Step 5: Hyperparameter Tuning Hyperparameters are parameters that are not learned during the training process, but can significantly impact the performance of the model. These include parameters such as learning rate, number of layers, and number of neurons. Tuning these parameters can improve the model's performance. Step 6: Model Deployment Once the model is trained, evaluated, and tuned, it can be deployed in different ways depending on the requirements. This can be done as a standalone application, a web service, or an API. Using Transformer and Federated Learning Methods in HAR: Human Activity Recognition (HAR) is a common machine learning classification problem that involves identifying the type of physical activity a person is performing based on sensor data. Traditional approaches to HAR involve collecting data from individual users and training a model on that data. However, this can be time-consuming and may not work well for users with different activity patterns. In order to address these shortcomings, Transformer and Federated Learning methods can be applied to HAR. Transformer is a neural network architecture that has shown great success in natural language processing tasks. It has been adapted to time series data and has shown promising results in HAR as well. Federated Learning, on the other hand, is a decentralized approach where data from individual users remains on their devices and only model updates are shared. This allows for better privacy and can also handle variations in user data. The FedPer and FedAvg algorithms can be used in HAR to train models using federated learning. FedPer involves personalizing the model for each user while still considering updates from other users. On the other hand, FedAvg involves aggregating model updates from all users to create a global model. Both these methods have shown improved performance compared to traditional approaches in HAR. In order to apply these methods, the first step would be to collect data from individual users and preprocess it. This data can then be split into training and testing sets. A Transformer-based neural network can be trained on the data from a single user and the model updates can be shared using FedPer or FedAvg. The process is repeated for multiple users to create a personalized model for each user or a single global model for all users. In conclusion, applying Transformer and Federated Learning methods in HAR can improve the performance of the classification task by personalizing the model for individual users and handling variations in data. It also allows for better privacy and can be applied in scenarios where data cannot be shared centrally. Best regards, Giáp Văn Hưng
€125 EUR på 7 dage
4,9 (17 anmeldelser)
4,2
4,2
Brug Avatar.
Hi there, I'm a seasoned ML practitioner specializing in Human Activity Recognition (HAR) models, particularly leveraging Transformer architectures and Federated Learning methods. I've already developed a high-performing model achieving 99% accuracy on PAMAP2 and MotionSense datasets using FedPer and FedAvg techniques. Now, I'm seeking assistance to fine-tune and test this model on WISDM and Opportunity datasets, aiming for accuracy between 95% to 99%. I've prepared detailed documentation and code for easy understanding and implementation. If you're keen to collaborate on this exciting project, let's discuss further! Best regards,
€140 EUR på 5 dage
5,0 (2 anmeldelser)
4,1
4,1
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Hello, I'm senior data scientist and experienced in federated learning, I can train, tune, and test the model as mentioned to reach the needed accuracy. Thanks
€210 EUR på 3 dage
5,0 (16 anmeldelser)
4,2
4,2
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⭐ Hi, My availability is immediate. I read your project post on ML/AI/Python Developer. We are experienced full-stack Python developers with skill sets in - Python, Django, Flask, FastAPI, Jupyter Notebook, Selenium, Data Visualization - Web App Development, Data Science, Web/API Scrapping, Machine Learning, AI - API Development, Authentication, Authorization - SQlAlchemy, PostegresDB, MySQL, SQLite, SQLServer, Datasets - Web hosting, Docker, Azure, AWS, Digital Ocean, GoDaddy, Web Hosting - ML Algorithms: linear regression, logistic regression, decision trees, random forests, neural networks, etc - Python Libraries: NumPy, pandas, scikit-learn, tensorflow, etc. Please send a message So we can quickly discuss your project and proceed further. I am looking forward to hearing from you. Thanks
€240 EUR på 3 dage
4,3 (16 anmeldelser)
4,0
4,0
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Hello I’ve carefully checked your requirements and really interested in Python-Based Machine Learning Classification Task. I am confident for your project because I have skills of Python, Software Architecture, Machine Learning (ML), Deep Learning and Pytorch. I’m ready to discuss your project and start immediately. Looking forward to hearing you back and discussing all details. Sincerely, Yehor.
€150 EUR på 1 dag
5,0 (1 bedømmelse)
3,0
3,0
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Hi, Hope you are doing great today. > Please read it carefully, this is not a generic proposal < I would like to take this opportunity to share with you that I possess a variety of PHP, Website Design, Graphic Design, WordPress, HTML and have completed numerous projects throughout my career. I am confident that I can deliver the results you need for your project with the same level of professionalism and expertise. Please keep in mind that I am available to discuss the details of the project with you at any time through chat. I will ensure that the project is completed within the timeline that we mutually agreed upon before the start of the project. Finally, I offer a one-month maintenance period after the project is completed. I look forward to hearing back from you and discussing how we can work together to bring your project to life. Best regards, Shikha Chaudhary
€250 EUR på 7 dage
5,0 (1 bedømmelse)
2,6
2,6
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***❤❤❤***Hello there , Good morning! I am professional mobile software engineer with skills including Machine Learning (ML), Pytorch, Software Architecture, Deep Learning and Python. I am checking your attachment, I'll update you shortly... Please send a message to discuss more regarding this project. Eager to hear your feedback
€100 EUR på 2 dage
0,0 (0 anmeldelser)
0,0
0,0
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Hello there, To ensure your model's success on new datasets (WISDM, Opportunity), I will follow these steps: Data Analysis: Understand dataset characteristics to tailor the model. Hyperparameter Tuning: Adjust learning rates and batch sizes for optimal performance. Regularization Techniques: Apply techniques like dropout to enhance generalization. Evaluate & Iterate: Assess accuracy iteratively, adjusting parameters accordingly. Review Model Architecture: Consider modifications based on dataset nuances. Ensemble Learning: Combine diverse models for robust predictions. Your satisfaction is our priority. How may we proceed? Looking forward to potentially teaming up on this exciting project! Best regards, Imtiyaz JN
€300 EUR på 7 dage
0,0 (0 anmeldelser)
0,0
0,0
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I can help you with this project. I will review the details and the provided code in the zip file to understand the implementation. Then, I'll test your model on the WISDM and Opportunity datasets and tune it to achieve the desired accuracy range. I'll make sure the model performs well across different batch sizes and learning rates as specified. Let's discuss any specific requirements or preferences you have regarding the tuning process. Feel free to reach out to me at +254759337926 for further discussion.
€140 EUR på 7 dage
0,0 (0 anmeldelser)
0,0
0,0
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As a Full Stack developer with over 8 years of experience, a substantial portion of my career has been dedicated to transforming complex concepts into successful applications. I've not only honed my skills in the areas that you've mentioned, like Python but have also taken up AI and ML courses to expand my knowledge base. From what it sounds like, your project demands proficiency not only in Python, but also in machine learning techniques and transformative models such as the transformer which is exactly what I have experienced in building. Having worked with multiple datasets for renowned COMPANIES and won their satisfaction every time, I'm no stranger to delivering high-level performance on varying parameters. I understand how important accuracy is to make accurate predictions and produce meaningful results. My prior work not only demonstrates a deep understanding of developing models using various lrs and batch sizes but also shows how I can bring together all these parameters to achieve remarkable accuracy rates.
€140 EUR på 2 dage
0,0 (0 anmeldelser)
0,0
0,0

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