Keras lstmpráce

I'm working on a Python project that involves ML and NLP. The code currently has a number of errors that need to be rectified. Key Points: - The errors are a mix of synta...errors that need to be rectified. Key Points: - The errors are a mix of syntax, runtime, and logic errors. This will require a comprehensive understanding of Python and how it works within the context of ML and NLP. - The code utilises TensorFlow and Keras for the ML components. Experience with these libraries are essential to identify and fix errors. - The input format for the code is text data, so experience in handling and processing this kind of data is necessary. If you're a Python expert with experience in ML, NLP, TensorFlow and Keras, and you're confident in your debugging abili...

...performance evaluation - A case study of chhattisgarh region" with less than 15% plagiarism & less than 15% AI detection. To publish this research paper in springer indexed journal. Detail Requirement: Complete research paper having less than 15% plagiarism & 0% AI generated Title : Groundwater level forecasting in Raipur, Chhattisgarh (India) region using various Deep learning techniques (e.g. LSTM, Bi-LSTM, RNN) and their performance evaluation Abstract : 250-300 words Introduction with in-text citation Methodology with flow diagram and training and validation graphs Result & discussion : along with tables (including various statistical parameters such as RMSE, MAE, MAPE, R-square, cosine similarity, accuracy comparison of different algorithm)...

...integrating the system into various applications or platforms. Skills Required: - Proficiency in natural language processing (NLP) techniques, including sentiment analysis and emotion recognition. - Strong background in deep learning, particularly convolutional neural networks (CNNs) and recurrent neural networks (RNNs). - Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras. - Expertise in image processing and computer vision techniques for emotion recognition from visual data. - Familiarity with audio signal processing methods and speech emotion recognition. - Ability to implement and optimize multi-modal fusion strategies. - Knowledge of explainable AI techniques for model interpretability. - Experience in deploying AI models in production environ...

I'm seeking a Junior AI Oracle Developer to assist with market trend analysis in the cryptocurrency space. The primary focus for this project is Python. Key Responsibilities: - Utili...for market trend analysis in the cryptocurrency sector. - Conduct in-depth research and data analysis to inform these models. - Regularly report on market trends based on AI insights. Ideal Candidate: - 1-2 years of experience in AI and Python. - Strong understanding of market analysis and trends, particularly within the cryptocurrency sector. - Prior work with Solidity, TensorFlow, PyTorch, or Keras would be beneficial but not essential. - Ability to adapt and learn quickly in a fast-paced environment. Please be prepared to share examples of your work or portfolios that showcase your skills ...

I'm in search of a skilled machine learning developer with expertise in GPT (Generative Pre-trained Transformer). My goal is to have an AI model that can both ...My goal is to have an AI model that can both correct and standardize postal addresses. The addresses will be provided in CSV files and the output of the model should be accessible via an API for integration into our system. Key requirements: - Proficiency in machine learning with a focus on GPT - Experience in addressing data correction and standardization - Transformers - Pytorch, TensorFlow, Keras, Pandas, Numpy, seaborn, Matplotlib The ideal candidate will have a proven track record of developing AI models, particularly in the realm of addressing data, and be able to provide a detailed timeline for the completion ...

It is python coding to finish MM model and LSTM model.

Create LSTM model in python to predict price for six month in the future.

I'm seeking a skilled Python developer who can aid in creating, training, and testing a Convolutional Neural Network (CNN). Specific context about the desired classification problem and the type of images for training/testing are yet to be determined and will be shared as the project g...will be discussed further after kickoff. For this task, proficiency in Python and familiarity with machine learning and deep learning frameworks are critical, specifically in areas related to: - Python, with emphasis on libraries for data analysis and manipulation (such as Pandas, Numpy), data visualization (like Matplotlib, Seaborn), and machine learning (including Scikit-Learn, TensorFlow, Keras). - Convolutional Neural Networks - Experience with image processing tools and libraries will b...

...machine learning and signal processing to build a cryptocurrency trading signal application. The core of this project will be to implement an LSTM (Long Short-Term Memory) neural network that utilizes techniques like Fourier transform among other signal processing methods to generate buy and sell signals based on historical cryptocurrency data. Key Project Requirements: - Data Handling: The application should be able to import and use cryptocurrency data from this Kaggle dataset: Binance Full History. - Signal Processing: Integrate Fourier transform and other signal processing techniques to analyze the data. - Model Implementation: Develop and train the LSTM neural network model to predict potential buy and sell points. - User Interface: Design a user-friendly GUI that d...

I'm seeking...project. More specifically, I'm currently using PyCharm and a variety of ML frameworks or libraries to test a range of custom signals. The ideal candidate for this project should possess the following skills and experience: - Proficiency in PyCharm IDE for Python - Familiarity with various machine learning frameworks or libraries, including but not limited to TensorFlow, PyTorch, Scikit-learn, Keras, MXNet, and Caffe - Experience in integrating different ML stacks The top priority is to have this project completed as soon as possible. Be prepared to share your approach and timeline for project completion during our discussions. Your adaptability and ability to handle tight deadlines will be highly valued in this project. Let's test the boundaries of ...

We're seeking Python developers t...edit the generated LaTeX code if modifications are needed. They can then download the result as a docx, doc, or LaTeX file. Additionally, there should be a copy-to-clipboard icon for easy use. - An easy-to-understand UI will be appreciated. Key Skills: - Proficiency in Python programming language. - Experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, or Keras. - Strong understanding of computer vision techniques and OCR algorithms. - Web development skills using frameworks like Flask or Django or Streamlit. - Familiarity with image processing libraries such as OpenCV. - Excellent problem-solving and communication skills. If you have already worked on similar task. please attach work samples in your ...

I have a back end code for a project of phishing website detection…it is a CNN vs LSTM comparative study …but I want a person who can develop a UI for that project as well as who can explain that code to us

I require a deep learning professional to write a well-researched paper on traffic prediction in seaports. The specific domains need not be confined; I am open to any, including CNN-LSTM, GRU, and RNN, with perhaps an emphasis on utilization to improve efficiency. The final paper should be suitable for publication in a SCOPUS or ABDC journal. I need this task completed within a month. Ideal Skills & Experience: • Expertise in various Deep Learning domains • Proven record in research paper writing • Experience with traffic management or port logistics would be a bonus • Ability to deliver the project within a strict timeframe • Knowledge of SCOPUS and ABDC journal requirements for research articles

I'm in need of an expert in Machine Learning with a strong proficiency in Python. The successful candidate will be assisting me with various stages of my project. Key Tasks: - Data Preprocessing: You will be tasked with cleaning, transforming, and preparing the raw data for analysis. - Mo... - Prior experience with data preprocessing, model development, and model evaluation. - Excellent problem-solving and analytical skills. - Strong communication skills to effectively communicate complex concepts. - The ability to understand business objectives and translate them into technical requirements for ML models. - Familiarity with libraries and frameworks like TensorFlow, scikit-learn, Keras, etc. Please provide examples of previous work in the field of Machine Learning and Python...

I'm currently looking for an expert in hybrid machine learning models, specifically for the ARIMA, GCN, and LSTM components. Key improvements needed: - ARIMA: - Improved accuracy of predictions - Reduced computation time - Better handling of seasonality - GCN: - More effective integration of graph structure - Enhanced extraction of features Skills and Experience Required: - Extensive knowledge in ARIMA, GCN, and LSTM - Proven experience in improving hybrid machine learning models - Proficiency in handling seasonality in data - Ability to work efficiently and reduce computation time. - Skilled in incorporating graph structure and improving feature extraction.

...developer who is keen on completing and elevating an existing project to new levels of efficiency and user engagement. Your expertise will help us deliver a top-tier product to our clients! SKILLSET 1. **Advanced Programming Skills**: Proficiency in programming languages commonly used in AI development, such as Python, Java, or C++. Knowledge of frameworks and libraries like TensorFlow, PyTorch, or Keras can also be crucial for AI and machine learning implementations. 2. **Experience with Natural Language Processing (NLP)**: Since the application involves analyzing and processing resumes and cover letters, expertise in NLP is essential. This includes familiarity with text classification, sentiment analysis, and machine learning models that handle language data. 3. **Software...

I am currently looking for an expert who can implement an LSTM (Long Short Term Memory) model, using TorchSharp.Net. I need the ability to create a model with 5 features (float), a step window of 10, and 50 hidden neurons. I need the ability to load the model, pass it data and get a predicted value. The final deliverable should be a C# .Net Console application with solution file that includes a file. The data can be random or static arrays. Key Requirements: - Strong knowledge of C# .NET - Proficient in using TorchSharp If you have these skills and are confident in developing deep learning implementations, I would be pleased to discuss the project further with you.

I'm looking for a programmer who can help me create a time series forecasting model using Python. The main aim is to predict the future default rates on lending loans based on past data. Key Requirements: - Past data includes monthly default ra...Use all data of all customers to predict the future default rates based on the given data. Moreover, if a new customer takes loan what would have been the default rates of that customer if the customer had joined some time back in the past. Ideal Skills and Experience: - Proficiency in Python and relevant data science libraries (e.g., Pandas, NumPy) - Strong understanding of ML Model especially LSTM will be preferrable. Your deliverables will include the forecasting code, any preprocessing steps needed, and documentation on how to...

This project centers on devising a precise LSTM model that can predict the State of Charge (SOC) in electric vehicles (EVs). Key responsibilities: - Develop an LSTM model for SOC prediction - Data collection for the task. As there's no particular data available, you might have to source appropriate data for the project. Battery voltage readings, vehicle usage statistics, and weather conditions are potential data sources. - Ensure high accuracy levels of model predictions -Need the work to be done quickly Ideal candidate: - Strong background in LSTM models - Experience in energy consumption modeling or related field - Proven record in handling similar projects, especially in electric-vehicle related domain. - Resourceful in data sourcing and processing. Pl...

...detector. • Test on the test split of the dataset and report the results. • Show image examples of the detection performance. • Note, all platforms, i.e., mxnet, pytorch, tensorflow (and keras), have pre-trained models. You can use them, but you'll need to fine-tune and show your edits to obtain your own results. TASK 2 • Machine translation and seq2seq modeling • Build a seq2seq model for machine translation (English to French) • Using the example in , build your own model. • The notebook shows how to load the dataset. • Check the for more info. • Use LSTM or GRU, With more than 2 layers and more than 128 hidden units. • Report the loss after the training. • Use the model to predict multiple sentences. &bull...

...particularly Convolutional Neural Networks (CNN), and experience with popular frameworks like Tensorflow and Keras. The project will revolve around object detection using images as the primary data source. Key Requirements: - Object Detection: The primary goal of this project is to accurately detect objects in images. It is important that the model is able to identify objects of a specific size, so having experience in this area will be crucial. - Deep Learning Expertise: You should be well-versed in deep learning concepts, particularly CNNs. This will be essential in developing an effective object detection model. - Framework Proficiency: Experience working with frameworks like Tensorflow and Keras is a must. You should be able to leverage these tools to implement the ...

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...implement CNN model in such system: --- Whether to build a CNN model directly for error detection, or to build a CNN model that recognizes elements, therefore, error detection will be done by pre-programmed algorithms. --- Is a single-class CNN model or a multi-class CNN model works better in situations where CNN model must detect formatting errors in textual documents. Experiments must be done with Keras or TensorFlow or similar library. Data sets will be provided for training and for test after request....

I'm looking for a programmer who can help me create a time series forecasting model using Python. The main aim is to predict the future default rates on lending loans based on past data. Key Requirements: - Past data includes monthly default ra...Use all data of all customers to predict the future default rates based on the given data. Moreover, if a new customer takes loan what would have been the default rates of that customer if the customer had joined some time back in the past. Ideal Skills and Experience: - Proficiency in Python and relevant data science libraries (e.g., Pandas, NumPy) - Strong understanding of ML Model especially LSTM will be preferrable. Your deliverables will include the forecasting code, any preprocessing steps needed, and documentation on how to...

I own a YOLOv8 model formatted in keras-cv and need a skilled professional to convert it into the latest version of TensorFlow Lite. The crucial function of my model is its real-time object detection capabilities. The objective is to utilize this model for object detection on a Raspberry Pi, and this functionality must be maintained post-conversion. Ideal Skills and Experience: - Proficiency in TensorFlow Lite - Experience in YOLOv8 model - Familiarity with keras-cv format - Experience working with Raspberry Pi - Proven track record in object detection models conversion.

I own a YOLOv8 model formatted in keras-cv and need a skilled professional to convert it into the latest version of TensorFlow Lite. The crucial function of my model is its real-time object detection capabilities. The objective is to utilize this model for object detection on a Raspberry Pi, and this functionality must be maintained post-conversion. Ideal Skills and Experience: - Proficiency in TensorFlow Lite - Experience in YOLOv8 model - Familiarity with keras-cv format - Experience working with Raspberry Pi - Proven track record in object detection models conversion.

I'm in need of a deep learning expert to develop a safet...specific platform compatibility is required at this stage. The system's primary goal is to ensure the safety of workers by accurately identifying if they are wearing safety helmets or not. While there are no explicit freelancer prerequisites for past work and detailed project proposals, expertise in the following areas would enhance your application: - Deep learning frameworks (like TensorFlow, Keras, PyTorch, etc.) - Computer vision - Image and video processing Understanding of workplace safety protocols would be a plus. Your task will involve developing the algorithm and training it with data sets to ensure maximum accuracy and efficiency in the real-world environment. Please apply if you can uphold the objecti...

I own a YOLOv8 model formatted in keras-cv and need a skilled professional to convert it into the latest version of TensorFlow Lite. The crucial function of my model is its real-time object detection capabilities. The objective is to utilize this model for object detection on a Raspberry Pi, and this functionality must be maintained post-conversion. Ideal Skills and Experience: - Proficiency in TensorFlow Lite - Experience in YOLOv8 model - Familiarity with keras-cv format - Experience working with Raspberry Pi - Proven track record in object detection models conversion.

I own a YOLOv8 model formatted in keras-cv and need a skilled professional to convert it into the latest version of TensorFlow Lite. The crucial function of my model is its real-time object detection capabilities. The objective is to utilize this model for object detection on a Raspberry Pi, and this functionality must be maintained post-conversion. Ideal Skills and Experience: - Proficiency in TensorFlow Lite - Experience in YOLOv8 model - Familiarity with keras-cv format - Experience working with Raspberry Pi - Proven track record in object detection models conversion.

I own a YOLOv8 model formatted in keras-cv and need a skilled professional to convert it into the latest version of TensorFlow Lite. The crucial function of my model is its real-time object detection capabilities. The objective is to utilize this model for object detection on a Raspberry Pi, and this functionality must be maintained post-conversion. Ideal Skills and Experience: - Proficiency in TensorFlow Lite - Experience in YOLOv8 model - Familiarity with keras-cv format - Experience working with Raspberry Pi - Proven track record in object detection models conversion.

I own a YOLOv8 model formatted in keras-cv and need a skilled professional to convert it into the latest version of TensorFlow Lite. The crucial function of my model is its real-time object detection capabilities. The objective is to utilize this model for object detection on a Raspberry Pi, and this functionality must be maintained post-conversion. Ideal Skills and Experience: - Proficiency in TensorFlow Lite - Experience in YOLOv8 model - Familiarity with keras-cv format - Experience working with Raspberry Pi - Proven track record in object detection models conversion.

This project focuses on creating a Python-based machine learning model with the purpose of analyzing historical stock price data and intraday data to predicting future values. The overall goal is to be able to evaluate investment opportunities better. Ideal Skills & Experience: - Familiarity with Python is a must, as this will be the primary language used - Proficiency in regression models, LSTM , as the chosen Machine Learning model - Experience working with stock price data analysis and forecasting - A proven record in Machine Learning project Project Requirements: - Develop a python software that can ingest and analyze historical stock price data - Apply regression models to draw predictive insights about future stock prices - Prioritize accuracy in the predictive model - ...

...predictive power. Please provide details of your prior experience in similar projects, and any relevant qualifications you hold. The original model is associated with the research paper with the link The original code is attached below, which is as per the research paper above. It consists a model with CNN, Attention and LSTM and now I've to improve the accuracy of this model. For this I need to change the model with adding "Deforming CNN" which is given in the research paper named "Deformable Convolutional Networks for Multimodal Human Activity Recognition Using Wearable Sensors", which I am attaching below. So add the improvements of The second paper into the original code. The model is to be then trained with Uni

I’m seeking a proficient developer with experience in open source model registration on Azure ML. The task involves using a multimodel RAG to provide API's, designing verification and validation for the model, as well as working with the front and backend development team. Key Requirements are: - Expertise in Azure ML and open source frameworks. While TensorFlow, PyTorch, and Keras are all options, preference will be given to freelancers who are versatile and can recommend the best approach based on their experience. - Past work. Please provide examples of previous projects involving Azure ML and API implementation, especially those which required collaboration with a larger development team. - Collaboration capabilities. Direct collaboration with the front and ba...

Looking for someone with AI experience to partner with. I have access to historical tick data (1 second) for major forex and crypto pairs for several years. Also real time feed. I have ideas for preparing the data and can help with this part. Your part will be to create train and validate the model. If it looks good, we'll proceed to integrating with a live brokerage like Interactive Brokers.

I'm looking to develop a real-time Arabic Sign Lan...educational resource, specifically to cater to the needs of the general public. - **Deployment Platform:** The final model will not be deployed on any specific platform but will be available for training and inference in a .ipynb notebook. Ideal Freelancer: - Proficient in Python and MediaPipe for real-time hand tracking - Experience in developing machine learning models, especially in TensorFlow/Keras for the .ipynb and .h5 formats. - Familiarity with sign language, particularly Arabic sign language, would be advantageous. - A background in educational technology or experience in creating educational resources is a plus. Please make sure to include any related experience, projects, or research that you think would be relev...

...enhance efficiency, and provide a competitive edge to our clients. Data Analysis and Visualization: Harness the power of Python libraries such as Pandas, NumPy, and Matplotlib to perform in-depth data analysis, extract actionable insights, and visualize complex data sets effectively. Machine Learning Solutions: Develop machine learning models and algorithms using Python frameworks like TensorFlow, Keras, and Scikit-learn to enable predictive analytics, pattern recognition, and automated decision-making. Web Development: Create dynamic and responsive web applications using Python-based frameworks such as Django and Flask, ensuring scalability, security, and a seamless user experience. Integration and Automation: Integrate disparate systems, automate repetitive tasks, and streamlin...

...existing CNN-based breast cancer detection code to include the VGG16 model. This will involve: - Complete refactoring of the code. - Implementation in Python using both TensorFlow and Keras. - Creating detailed comments to provide robust explanation and understanding of the code. Max Budget--> 2500 Min Requirement --> An equivalent implementation using any of VGG16 or VGG19. Link of the Project : The ideal candidate for this job would possess extensive experience in Neural Networks especially in VGG models, Python, TensorFlow, and Keras. Understanding of breast cancer detection methods would also be beneficial. I'm seeking a professional who can provide quality assurance, and ensure the refurbished code remains

...seeking an individual or company skilled in neural networks and Keras to develop a predictive model. This model will forecast the occurrence of a phenomenon based on historical data. Requirements: Data Acquisition: Historical data required for training the model will be fetched via an API from our comprehensive database, which is updated multiple times weekly. Data Processing: All retrieved data will be processed to facilitate effective model training. This includes Exploratory Data Analysis (EDA) to identify impactful data, outlier detection for data quality, and feature engineering to determine the final model inputs. Model Development: Train two types of models using Deep Neural Network (DNN) and Long Short-Term Memory (LSTM) architectures: A classification model to d...

Create LSTM and GRU models fro Stock forecast.

I need a Python-based machine learning program that can predict stock prices based solely on historical stock prices. Key Features: - Utilizes Historical Stock Prices: The program should be trained on historical stock price data. - Use these models: CNN-LSTM, ARIMA-LSTM, RNN, random forest models, and plot a single graph and predict for next 'n' days. - Educational Purpose: I'll be using this program for educational purposes, so it should be designed for easy understanding and manipulation. - Interactive: It should have interactive charts and graphs to better visualize the data. I also need the program to allow me to input different data sets, so that I can test its accuracy and learn more about its workings. Ideal Skills: - Strong understanding of machine ...

...will be given preference. Accuracy and efficiency of the created model are paramount. The project involves the development of a deep learning model for medical image classification, particularly focusing on chest X-ray images. The model architecture is largely in place, but there are a few key tasks that require attention: Replace Deprecated TensorFlow and Keras Methods: The project currently uses deprecated methods of TensorFlow and Keras, which need to be updated to ensure compatibility with the latest versions. This is crucial for maintaining the long-term reliability and efficiency of the model. Integration of Grad-CAM Outputs: I'm looking for effective implementation of Grad-CAM (Gradient-weighted Class Activation Mapping) to visualize the model's predict...

I'm seeking a proficient developer conversant with advanced neural networks, with an emphasis on reinforcement learning through OpenAI. Ideally, you have: - Strong skills in Python, we will be using this as our primary programming language. - In-depth hands-on familiarity with TensorFlow, PyTorch, and Keras frameworks. - Extensive experience in developing reinforcement learning applications. - The ability to capitalize on past experiences to bring creative solutions to complex problems, while always keeping an eye on performance and efficiency. Your task will be to pioneer the development of high caliber machine learning models. I expect you to bring creativity and novelty to your work, to push boundaries and question the status quo. Apply now if this resonates with you!

...garantizar la fiabilidad y la escalabilidad de la aplicación. 6. Tecnologías de pruebas: - Selenium, JUnit, y Postman para garantizar la calidad y la fiabilidad del sistema. 7. Tecnologías de colaboración y gestión de proyectos: - GitHub, Trello, y Asana para garantizar la eficiencia y la colaboración en el desarrollo del proyecto. 8. Tecnologías de análisis de datos: - TensorFlow, Keras, y Scikit-learn para mejorar la eficiencia y la productividad del sistema. 9. Tecnologías de navegación: - React Router, Vue Router, y Angular Router para mejorar la experiencia del usuario en la aplicación web. Consideraciones de Seguridad: - Implementar autenticación segura y manejo de sesiones....

In this project, I'll require a skilled coder to train a BERT model for categorizing questions into Bloom's Taxonomy on custom datasets I have. Also need to compare results by training same model using LSTM with Wiki Word Embeddings. These categories aren't traditional ones, instead, they are based on Bloom's Taxonomy. More specifically, the machine learning model should be able to sort topics into the following categories: - Remembering - Understanding - Application - Analysis - Evaluation - Creation The ideal candidate for this project has significant experience with BERT and text classification tasks, and an understanding of Bloom's Taxonomy. Having a background in education and pedagogy would be a plus, but is not necessary. Nonetheless, it's esse...

I'm looking to solve a classification problem with my tabular data using Python. Skills and Experience Needed: - Capability in Python programming is crucial, familiarity with libraries such as pandas, sklearn, and keras is necessary - You should be proficient in machine learning algorithms, specifically focusing on data classification - Experience in handling and manipulating tabular data for machine learning applications - Understanding of data cleaning, preprocessing and feature engineering Project Requirements: - Development of a Python-based data classification model - Utilizing machine learning techniques to process tabular data - Rigorous testing of the model's accuracy and improving it if required - Documenting the steps and coding process for future reference ...

As the head of this exciting project, I’m searc...and interactive mobile application that uses CNN, MobileNet, and VGG architectures for melanoma detection. Key Deliverables: • Design and implementation of a robust and efficient deep learning model, capable of increasing the accuracy of melanoma detection. • The model should be built on platforms like Keras, PyTorch, and TensorFlow. Skills and Experience: • Extensive experience with deep learning and neural networks, particularly with CNN, MobileNet, and VGG. • Proficient in using Keras, TensorFlow, and PyTorch. • Proven track record in mobile application development, preferably experienced with creating interactive interfaces for complex applications. If this project sounds right up you...

I'm in need of an experienced Python developer to build an ultra-fast Convolutional Neural Network (CNN) model for a tabular dataset. The primary purpose of this model will be cla...- binary - 8 classes - 48 classes Key deliverables: - A highly efficient and fast CNN model - Clear documentation of the code and steps involved in the development process. - The dataset classification needs alot of balancing Preferred Experience and Skills: - Strong expertise in Python programming - Proven experience in CNN model development for data classification - Familiarity with Keras, TensorFlow, or PyTorch is a plus, although it's not mandatory since I haven't specified any particular library or framework. Ultimately, I require an expert who can build this model with sup...

My project focuses on refining the existing model used for oil flow forecasting in pipelines. While the current model employs a weighted average technique, there's a need to reduce the forecasting error. Therefore, I'm looking for someone with: - In-depth knowledge and experience with forecasting models such as ARIMA, SARIMA, Prophet, and LSTM. - Track record of successful performance enhancement in forecasting models. Your main task will be to - Review and understand the existing baseline model. - Identify shortcomings and avenues for improvement. - Develop and implement solutions aimed at specific goal of reducing the forecasting error. Ample experience and a strong understanding of forecasting models are essential, as the project calls for the ability to critically...

Please check project proposal and accept it