Rnn lstm jobs

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

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.

...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 determine the likelihood of an event's occurrence. A prediction model to quantify the value of the event. Implementation Platform: The system will be implemented on a cloud platform, such as Digital Ocean or Google Cloud Platform. Web Interface: A user-friendly web interface for system management will be provided, enabling model manage...

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 m...

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 NEED EXPERT ON CNN and ANN FOR MACHINE LEARNING ON PREDICTION FOR A BETTING SITE

As a healthcare analytics assistant, I'm looking for a skilled data scientist to predict future trends in global cardiovascular disease rates utilizing a Recurrent Neural Networks (RNN) model. This will involve processing complex CSV data, which will include parameters such as patient age ranges, geographical regions, social conditions, and specific types of cardiovascular diseases. Key responsibilities: - Process distributed data using Hadoop/MapReduce or Apache Spark - Developing an RNN model (preferably Python) - Analyzing the complex CSV data (5000+ records) - Identifying and predicting future trends based on age, region, types of diseases and other factors - Properly visualizing results in digestible diagrams Ideal candidates should have: - Experience in data...

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

More details: Which industry or field is your project related to? Computer Science and Engineering What is the main objective of your deep learning project? 1. To implement A3C algorithm with LSTM for autoscaling in Mobile Edge Computing. 2. To implement PPO for autoscaling in Mobile Edge Computing. What programming languages are you comfortable working with? Python

I'm currently working on a project involving Machine Learning and Deep Learning, focusing on Meta Learning and Concept Drift. Our objective is to assess water quality using Meta Learning techniques. I've attached the base paper along with its GitHub repository link containing the code. In the GitHub repository, we have two detectors - one based on CNN and another on RNN. We're looking to expand our models by adding two more variations. Additionally, we have our own datasets related to water quality that we intend to utilize for this project. We're interested in collaborating with you for this task. Please let us know if you're available and willing to assist us. If so, we can discuss the details further and proceed with the project. GitHub Link :

I am in my final year of and I need a Deep Learning Specialist who can build my Major project. Topic: A Comparative Analysis of Different Methods for Predicting Solar Radiation Using Deep Neural Networks: An Innovative Ap...tech and I need a Deep Learning Specialist who can build my Major project. Topic: A Comparative Analysis of Different Methods for Predicting Solar Radiation Using Deep Neural Networks: An Innovative Approach to Sustainable Community Building. I need the following things: 1. Working model (code) 2. Research paper with plagarism report In the working model we basically train a dataset on ANN and RNN and compare their performance. I need the project completed in not more than 5 days Also, I might need project report in future. If so, I would Pay you Accordin...

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 en...

I am looking for a skilled Python programmer with advanced proficiency to implement a python script that trains a trading bot. The bot will leverage Proximal Policy Optimization (PPO) and Long Short Term Memory (LSTM) which is detailed described in the paper: In particular, I'd like to: - Develop a bot that given the input signals/window gives either a sell/hold/buy signals - Use the methods/parameters/data mentioned in the paper - The model should be trained and evaluated in the way the paper describes. - The evaluation data should be visualized with the signals (buy and hold) The stock OHLCV data for the task will be provided. Applicants should: - Have an advanced level of proficiency in Python programming. - Have

In this important research project, I am seeking a seasoned researcher with expertise in machine learning, specifically long short-term memory (LSTM) algorithms, to delve into the intricate world of session-based recommendation systems for volunteer work. This ambitious project requires: - In-depth knowledge and research experience in LSTM algorithms, to ensure robust recommendations - Strong familiarity with volunteer work, though the focus is broad and not confined to any specific area - Proficiency in academic writing presenting complex information clearly and concisely Vital specifics to note: - The expected deadline is 1 day from the project commencement, indicating a need for professionals who can work effectively under tight deadlines. I require ieee format with ...

I require an expert-level computer science professional to collaborat...require an expert-level computer science professional to collaborate on an epilepsy-focused project using deep learning models. Key components include: - Expertise in utilizing Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM), and RESNET-152 deep learning models. - Experience with interpreting Electroencephalogram (EEG) data. - Ability to achieve a fast turnaround as the project completion is desired ASAP. The ultimate goal is the efficient classification of epileptic seizures with the assistance of EEG data, utilising the strengths of CNN, LSTM, and RESNET-152 models. Your significant experience in these areas will greatly enhance the successful execution of this project within the d...

project involves applying federated machine learning concept with lstm , cnn and random forest algorithm

...Experience: - Extensive experience in building, testing, and optimizing Deep Learning Models. - Proficiency in Python, with knowledge of machine learning libraries and packages. - Proven track record in using Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Transformer Networks. - Prior work with healthcare datasets is a plus. Responsibilities: - Retrieve and preprocess the Kaggle dataset to make it suitable for training a deep learning model. - Implement a deep learning model utilizing CNN, RNN, and Transformer Networks to predict Pulmonary Fibrosis. - Ensure that the model accounts for all relevant nuances and intricacies in the data. - Optimize the model for efficiency and accuracy. - Documentation of the procedure, results, and any assumptio...

...dataset management - Extensive knowledge of fraud detection The main idea of my project is to combine machine learning techniques like Random Forest, Decision Trees, Support Vector Machines, Logistic Regression, K-Nearest Neighbors, XGBClassifier, CatBoostClassifier, and others. It also needs to include deep learning methods like Convolutional Neural Networks, Long Short-Term Memory, Bidirectional LSTM, DCN, ANN, RGU, GNN, and more. Whilst the project's specific focus was not determined, a successful candidate would ideally balance conceptual development and practical implementation of the algorithms. Having innovative ideas and the ability to bring them to life is essential for this job....

I'm looking for a skilled professional who can develop a Convolutional Neural Network Long Short-Term Memory (CNN LSTM) Model. T Key details: - CNN LSTM Model for Accuracy - It should handle audio data successfully and accurately. - The model needs to perform sentiment analysis, text classification, and named entity recognition on the text data it handles. Ideal Skills and Experience: - Strong knowledge and expertise in CNN LSTM Models. - Experience with image recognition and audio data. - Proficiency in sentiment analysis, text classification, and named entity recognition. Your technical prowess in developing complex models will be a significant factor in the project's success. If you thrive on challenge and are excited about advancing image recognitio...

I'm looking for an individual who specializes in improving the user experience of digital platforms. With a gap in my current system, your primary responsibility would be to enhance the overall user experience throughout the platform. I believe that a successful freelancer for this project should be able to present: - A portfolio of their past work relevant to user experience - Proven experience in interface design and presenting new ideas to existing platforms Unfortunately, I can't provide specifics on the areas like navigation, design, or loading speed that need improvement. However, a review of your past work would indicate your ability to understand and work effectively within these areas. Ideal Skills: - Experience with UI/UX design - Knowledge of modern interface trend...

I am looking for a competent Python developer capable of creating a Recurrent Neural Network (RNN) model for the classification task. ( Need in 2 days) See the attached word file for project description

As a new enterprise, we're delving into AI and machine learning, focusing on the accuracy of (LSTM) and Convolutional Neural Network (CNN) models. With this project, our main goal is to comprehend these models' reliability and efficiency, particularly targeting professionals in the industry. We are in search of freelancers with: - Extensive experience in designing, developing, and evaluating LSTM and CNN models - Proficiency in machine learning and AI - Strong knowledge of model accuracy metrics - The ability to effectively communicate complex concepts to a professional audience Please, include in your application: - Your experience with LSTM and CNN models - Specific examples where you improved model accuracy Looking forward to your applications.

To implement an LSTM neural network model in Python, which can predict the state of charge of a battery. The battery state ranges from 0 to 100% and follows discharge and charge cycles. The avaible dataset has several parameters, but we are interested in the column State_of_Charge. The model must be validated with mae,,mse and rmse. Plotting the performance of the training set, the test set and the predicted data in 3 different colours, The model must be usable in this way. I have a collection of 10 consecutive measurements of the state of charge of a battery I want to predict via the model the trend in the next X time instants (e.g. X=20).

...am currently embarking on a research project focused on enhancing IoT security through the development of an LSTM (Long Short-Term Memory) model capable of detecting anomalies. My aim is to pioneer preventative measures against potential security threats within IoT systems. This research does not involve live IoT network infrastructures nor specific IoT devices like temperature sensors, motion detectors, or humidity sensors. Instead, it operates within a simulated environment designed for research purposes, with a keen interest in identifying and analyzing security-related anomalies. ### Ideal Skills and Experience: - Proficiency in deep learning, specifically with experience in LSTM models. - Understanding of IoT security challenges and familiarity with common security ...

I am on the hunt for an exceptional BTC/USDT trading Algorithm developer with expertise in Java, Python, and JavaScript. Profound knowledge in machine learning and deep learning will be advantageous. You will be responsible for the development of a unique software that mirrors the vision of our project. Key Responsibilities *Time series models like ARIMA ,STL , LSTM networks etc. * Machine learning models like regression models, decision trees, random forests, support vector machines etc. *Deep learning models, such as recurrent neural networks and convolutional neural networks etc. *Reinforcement learning techniques, such as Q-learning or deep reinforcement learning etc. *Technical analysis using various indicators or combinations of indicators to generate noise free, statistical...

In our project how we want to show output like :If we show hand signs the computer able recognize the handsigns and give the sentence in text format and it need to come with audio. Eg:If i show "Can i help you" in hand sign gesture the output be like "Can i help you" in audio and text format. Algorithm:Bidirectional Lstm and CNN we want interface for our project whether it is mobile app or web app. Note:!!! Dataset available(Indian sign language format)

...is secure against cyber threats and reliable enough for commercial use. -Advanced Indicator Combinations: Go beyond classic indicators like Moving Averages, RSI, MACD, Fibonacci Retracement, and combine them in unique ways. Timeframe Diversity: Demand a system capable of analyzing data across different timeframes and harmonizing them. AI-Based Prediction Models: Use deep learning models like LSTM to predict price movements. Reinforcement Learning: Request models that can adapt to dynamic market conditions and refine their strategy over time. Market Sentiment Analysis: Seek a system capable of analyzing market sentiment from news, social media, and other alternative data sources. Economic Indicators: Demand a system that can analyze macroeconomic data and news. Risk Managem...

I am a final year student. I need someone to build my major project. Topic: Predicting Solar Radiation using ANN and RNN **Project Goals and Objectives:** - Review Paper - Research Paper - Working Model **Ideal Skills and Experience:** - Proficient in deep learning frameworks such as TensorFlow or PyTorch. - Proven track record in developing and deploying deep learning models, with a portfolio to showcase past projects. - Strong analytical skills with the ability to select appropriate algorithms and technologies based on project requirements. - Exceptional problem-solving abilities and the willingness to explore uncharted territories within the deep learning landscape. - Effective communication skills to regularly update on project progress. Given the project's immediate s...

this will be for the first part of lstm and gru

Implementation of a deepfake detection model for both videos and images using deep learning models(LSTM + ResNext CNN), by providing a novelty

visuals for scatter und cdf data for 7 days, 14 and 30 days for lstm and rnn

I'm looking for a skilled Python expert to assist with the development and implementation of a Recurrent Neural Network (RNN) to perform time series analysis. Purpose: - The purpose of this venture is to forecast future values, a critical component of my project. Project Background: - The project employs modulation data in which neural network expertise is necessary for successful execution. Skills and Experience: - Proficiency in Python and its associated libraries - Deep understanding of RNN and how it's used for time series forecasting - Experience with modulation data - Proficiency with time series forecasting - Keen attention to detail and the ability to work independently with minimal supervision In the hands of the right individual, this job offers a...

... focusing on the LSTM and LightGBM etc frameworks. Key Requirements: Task! You have to train the LSTM algorithm (prediction) and make comparison graph plots with LigtGBM,Random Forest,Decision,Gradient Boosting,xgboost which one performs better. Display the plot comparison : time series data (data will be provided). Also MSE, MAE, and R2 (Random Forest,Decision Tree,Linear Regression,Support Vector Regressor,Gradient Boosting, XGBoost) evulation. Dataset regarding proton exchange membrane fuel cell analysis 1-state of health (SOH) 2: Remaining useful life (RUL) (estimation): comparative analysis of PEMFC Machine learning prediction (prognostic) Note: You have to explain and share all the raw data with me. Caution! The CHATGPT code is not acceptable. Proficiency in LS...

I am looking for a Python Developer with Timeseries / AI Forecasting experience to develop a Web BOT in python for AI Based Stock Prediction (XGBoost & LSTM). Needed for NSE Equity Enter the Symbol(s) and should be able to generate the Forecast using LSTM and XGBoost for the next 30/60/90/6 months and 1 Year. Chart and Numerical text clearly visible and downloadable. - Getting historical data, training, comparision of actual vs predicted data should all be done in both LSTM and XGBoost (N

I am in need of a highly skilled data scientist with a deep knowledge in Deep Learning and Natural Language Processing (NLP). I am currently spearheading a project that requir...spearheading a project that requires expert understanding and implementation of Deep Neural Network (DNN), particularly for NLTK tasks. The core purpose of the task is to boost the capabilities of our current NLTK, with a focus on: - Python - Postgree SQL - Database Administration Knowledge - Data Extraction - RNN - Feedparser The ideal candidate should have extensive experience in DNN, proficiency in NLTK and its complex concepts, and knowledge of text classification, sentiment analysis, RNN, and Feedparser. Familiarity with predictive modeling, data visualization, and statistical analysis would...

I'm in urgent need of a Python developer with a solid understanding of recurrent neural networks (RNN). The primary task is to design a machine learning model centered on time series forecasting. This is specifically aimed at predicting intraday stock trading trends and creating a trading bot that I can use on platforms like tradetron.etc. Key Responsibilities: - Develop a Python code based on RNN for time series forecasting. - Perform thorough backtesting and optimization of the machine learning model. - Ensure error-free execution and successful live implementation of the code. Ideal Candidate: - Proficiency in Python and machine learning. - In-depth knowledge of RNN and time series forecasting. - Prior experience in financial forecasting, particularly int...

Seeking help in building a robust supervised machine learning model using GRU, LSTM, and RNN for fraud detection system using the dataset CICIDS 2018. Specifically, the focus is on generating a classification model. Your primary task will involve: • Creating an efficient and accurate classification model • Implementing the model to best fit the data Ideal candidates will have the following skills: - Proficiency in Python or R - Extensive experience with supervised learning models - Familiarity with classification modeling.

Hi, This would be the offer: - retraining the models with different parameters - comparison cnn lstm / rnn - create graph with real discharge value - utilizing a validation set for training - adding r2 score as additional evaluation metric including graphs

I am looking for a python RNN expert who can assist me with a text generation task. Skills and experience required: - Expertise in working with RNN models in Python - Strong understanding of text generation algorithms and techniques - Experience in working with structured data - Ability to handle complex sentences and generate high-quality text outputs The project involves: - Developing a text generation model using RNN - Utilizing the existing structured data for generating complex sentences - Pre-processing the data if necessary to ensure accurate results If you are an experienced python RNN expert with a strong background in text generation, please apply for this project. Your expertise will be crucial in delivering high-quality, complex sentence outputs.

The dataset contains 2 columns, rainfall and runoff. I have implemented LSTM, GRU and Transformer model to predict the runoff based on rainfall data. I need someone to implement the time series transformer model using TSAI( Time series AI ). TSAI is a API ML library. I can provide more documentation for this.

The main goal of my project is to compare the performance between Convolutional Neural Network Long Short-Term Memory (CNN-LSTM) and Convolutional Neural Network Recurrent Neural Network (CNN-RNN). - Data: The data primarily comprises of time-series datasets including climatology, geography and related fields. Since we are dealing with time-series data, prior experience with this kind of dataset will be greatly advantageous for effective completion of the task. - Skills: proficiency in handling and manipulating time-series data - Comparison Metrics: The primary key performance metric to focus on is the Mean Squared Error (MSE). Freelancers bidding for this project should therefore be adept at evaluating and interpreting the MSE, and be able to offer insights and sugge...

I am looking for a data scientist who can develop an LSTM prediction model on Covid-19 data. The project has the following requirements: Time Frame: Short-term (several days) - The prediction model should be developed within this time frame. Dataset: Yes, I have a dataset - The client already has a specific dataset in mind for the model. Desired Accuracy: 80-90% - The prediction model should aim for an accuracy within this range. Skills and Experience: - Proficiency in LSTM modeling and time series analysis. - Strong knowledge of Python and machine learning libraries such as TensorFlow or PyTorch. - Experience in working with Covid-19 data or similar epidemiological datasets. - Ability to clean and preprocess data for modeling purposes. - Familiarity with evaluating model...

I am looking for a freelancer to develop an LSTM neural network for time series prediction. Dataset: - I can provide the specific dataset for training the model. Accuracy: - The desired level of accuracy for the model is 70-80%. Skills and experience: - Experience in developing LSTM neural networks for time series prediction. - Proficiency in handling and preprocessing datasets. - Strong understanding of deep learning algorithms and techniques. - Ability to fine-tune and optimize the model for improved accuracy. - Knowledge of Python and relevant libraries such as TensorFlow or Keras.

I'm seeking a proficient freelancer with an expertise in Python and Deep Learning to accomplish an image recognition project. The task should be implemented using Pyt...The task should be implemented using Python code in idle. While no specific deep learning library is preferred, a solid understanding of TensorFlow, Keras and PyTorch will be advantageous to navigate through this project effectively. Experience in image recognition tasks is mandatory for this project. You’ll primarily focus on: - Building and training a custom deep learning model (transformer, lstm, and gru) for image recognition and NLP. - Testing the model's accuracy and adjusting parameters for optimization. - Delivering clean and reusable Python code for the project. - I have all hyperparameters ...

I am looking for a skilled programmer to write a code for LSTM time series forecast and any traditional forecast using Python. This project is for personal use and I have a specific dataset that needs to be used for the forecast. Skills and Experience: - Proficiency in Python programming language - Experience with LSTM time series forecasting - Knowledge of traditional forecasting techniques - Ability to work with specific datasets

...Dataset: - I have a dataset ready for training the model. Machine Learning Model: - I am looking for a supervised machine learning model. - Needs to develop both non-neural network algorithm and neural network algorithm models - Neural network algorithm models includes: - Support Vector Machine (SVM); - Artificial Neural Network (ANN); - Convolutional Neural Network (CNN); - Recurrent Neural Network (RNN); Project Background: - To Develop AI model for Equipment Condition Monitoring Project Requirement: 3 Machine Learning Models to be developed: -one no. of Non-Neural Network Algorithm and two (2) nos. of Neural Network Algorithm OR - two (2) nos. of Non-Neural Network Algorithm and one (1) no. of Neural Network Algorithm. It is required to evaluate the performance of th...

I am looking for a skilled freelancer to enhance the Python code prediction for a ANN or Recurrent Neural Network (RNN) in the field of machine learning. Skills and Experience: - Strong knowledge and experience in working with ANN/RNNs - Proficient in Python programming language - Familiarity with machine learning algorithms and techniques - Experience in optimizing and improving the performance of neural networks Project Requirements: -I wrote Python code in Colab to learn from an Excel dataset. There are 500 rows, each has 4 inputs. Each row has one output. At the moment I can't get it done, that the network learns the 500 inputs with their specific output. So if I use exact the same inputs of one of the 500 datasets, then I get a different output than it is in the learnin...