Tf.keras lstm example jobs
Hi Andrii. Are you happy to help me build Time Series models using three different methods and compare performance in R please? 1. Classic closed form ARIMA (SARIMAX). 2. XGBoost 3. LSTM RNN. Also do linear regression weight ensemble combing all 3 models. The goal is to predict energy requirement of 10th year, given data from first 9 years.
I am looking for an experienced developer to create an AI-based trading bot for automated trading on the Bybit platform. The project includes: --- 1. Market Data Collection: Collecting market data (prices, volumes, etc.) using available free APIs. Integrating the Bybit API for executing buy/sell trades. --- 2. AI Indicator Creation: Using any AI/ML technology (e.g., TensorFlow, Keras, scikit-learn, or others) to analyze the market. The model should generate buy/sell signals with at least 97% accuracy in predicting market direction. --- 3. Trade Automation: Implementing a mechanism that automatically executes trades on Bybit based on AI signals. Opening a position when the AI signals "buy" and closing it when it signals "sell." --- 4. Monitori...
I'm seeking an expert in deep learning for a project involving image data augmentation and classification. The project utilizes Generative Adversarial Networks (GANs) for data augmentation and Convolutional Neural Networks (CNNs) for classification. Key components...classification. Key components of the project include: - Using GANs to augment image data - Employing a CNN for classification purposes Ideal candidates for this project should be well-versed in deep learning techniques, particularly with GANs and CNNs. Experience with image data is crucial. While I have no specific preference for the deep learning framework, proficiency in TensorFlow, PyTorch, or Keras will be an added advantage. Your expertise will help enhance the quality of the model and improve its classific...
I am looking for an experienced developer to create an AI-based trading bot for automated trading on the Bybit platform. The project includes: --- 1. Market Data Collection: Collecting market data (prices, volumes, etc.) using available free APIs. Integrating the Bybit API for executing buy/sell trades. --- 2. AI Indicator Creation: Using any AI/ML technology (e.g., TensorFlow, Keras, scikit-learn, or others) to analyze the market. The model should generate buy/sell signals with at least 97% accuracy in predicting market direction. --- 3. Trade Automation: Implementing a mechanism that automatically executes trades on Bybit based on AI signals. Opening a position when the AI signals "buy" and closing it when it signals "sell." --- 4. Monitori...
I'm looking for a designer to create a logo based on the example I will provide. The logo will consist of the text and a towel. Specific Requirements: - For the 1000x600 image: The towel should be placed before the name “LENE,” with no “towel store” text underneath. The towel’s colors should remain the same as in example. The background should be transparent. I would like two versions: one with black text and one with white text. Please start your proposal with the word 'towelz' so I know you actually read the task, thanks. - For the 500x500 image: The towel should be placed above the text. The background should be transparent, and I would like two versions: one with black text and one with white text. - Favicon: It should featur...
...looking for an experienced developer to create an AI trading bot for automatic trading on the Bybit platform. The project involves: 1. Market Data Collection: Collecting market data (prices, volumes, etc.) using free APIs or other available sources. Integrating the Bybit API for executing buy/sell trades. 2. AI Indicator Creation: Using any popular AI/ML library in Python (e.g., TensorFlow, Keras, scikit-learn, etc.) to train a model. The model should analyze market data and make buy/sell decisions based on signals generated by the AI. The required accuracy should be 97% in predicting market direction (buy/sell). 3. Trade Automation: Creating a mechanism that will automatically execute trades on Bybit based on signals generated by the AI. The bot should open a posit...
...deep learning techniques, particularly Long Short-Term Memory (LSTM) networks, and historical pattern analysis to achieve over 90% accuracy in predictions. Additionally, the model should be able to provide smart decision-making recommendations for managing risk. Key Requirements: - The model should be trained primarily on financial data. This could encompass data from various financial sectors, such as the stock market, cryptocurrency market, and forex market. - The historical financial data will be provided in Excel sheets, so the model should be able to process and learn from this format efficiently. Ideal Skills and Experience: - Proficiency in AI and machine learning, with a particular expertise in deep learning and LSTM networks. - Strong background in financial dat...
Milk business ideas in investment of 10 lakhs
Please do other mascot for this kebab owner in order to use it on our social network and website Please use the same style as attached. You just need to change his expression and posture (4 visuals). We also want to create 4 visuals with a kebab spit as a same style of the mascot. Please alsways integrate the logo 83 attached on the kebab spit and on the tshirt of the guy. Remember, do not change the whole style, just change the face, expression and posture for the owner mascot ! For the Kebab spit, please create vectorials as the same style What we need, summarized: - 8 new visuals with cartoon style as the style attached - use nice and funny creation, like with a kebab spit who has a face, with the guy or without the guy, with the 83 logo - please be creative and funny ! See example...
...looking for an experienced developer to create an AI trading bot for automatic trading on the Bybit platform. The project involves: 1. Market Data Collection: Collecting market data (prices, volumes, etc.) using free APIs or other available sources. Integrating the Bybit API for executing buy/sell trades. 2. AI Indicator Creation: Using any popular AI/ML library in Python (e.g., TensorFlow, Keras, scikit-learn, etc.) to train a model. The model should analyze market data and make buy/sell decisions based on signals generated by the AI. The required accuracy should be 97% in predicting market direction (buy/sell). 3. Trade Automation: Creating a mechanism that will automatically execute trades on Bybit based on signals generated by the AI. The bot should open a posit...
...Please make sure you have read all of this or i wont review you In your proposal you submit, i need you to include EXACTLY what you are going to include per week and the cost. The number of backlinks, pbn, articles etc etc. Absolutely everything you will do. If you dont include this i will not review you. I need to see exactly what you are going to do and the cost. All links must be indexed, high da, tf, no spam, follow. You must also provide weekly and monthly reports. For the onpage audit, please include: Full SEO audit - report and fix all of the issues below and more. penalty removal, Index optimisation, xml sitemap check, , compress images Crawling Issues, Competitor Analysis, Link Monitoring, Speed Test, Canonicals, Redirect Issues, Content Overview, Sitemap & Checks
...looking for an experienced developer to create an AI trading bot for automatic trading on the Bybit platform. The project involves: 1. Market Data Collection: Collecting market data (prices, volumes, etc.) using free APIs or other available sources. Integrating the Bybit API for executing buy/sell trades. 2. AI Indicator Creation: Using any popular AI/ML library in Python (e.g., TensorFlow, Keras, scikit-learn, etc.) to train a model. The model should analyze market data and make buy/sell decisions based on signals generated by the AI. The required accuracy should be 97% in predicting market direction (buy/sell). 3. Trade Automation: Creating a mechanism that will automatically execute trades on Bybit based on signals generated by the AI. The bot should open a posit...
I am currently working with existing DDPG code in Python and require assistance modifying the reward function. Ideal skills for this project: - Proficiency in Python - Deep understanding of the DDPG algorithm - Experience modifying reinforcement learning code - Ability to understand and alter reward functions - LSTM implementation
I'm in search of a designer who can help me create eye-catching graphic prints for a new line of sportswear t-shirts. (NO AI) see image Key Responsibilities: - Develop creative and unique graphic designs for t-shirts - Ensure designs are suitable for sportswear and casual wear - Understand and incorporate current trends in sportswear and graphic design Ideal Skills: - Proficiency in graphic design software - Strong portfolio in t-shirt and sportswear design - Ability to deliver on time and communicate effectively I am looking for original, visually appealing designs that can stand out in the competitive sportswear market. Please provide samples of relevant past work.
...SEO (hreflang tags, geotargeting in Search Console). - Pagination and crawl budget optimization. - Server-side rendering (SSR) vs. static site generation (SSG). --- ### **3. On-Page SEO Specifications** - Keyword-optimized meta titles/descriptions (dynamic templates for scalability). - Header tag hierarchy (H1-H6) with semantic HTML. - Content optimization: - Keyword density (LSI keywords, TF-IDF analysis). - Image alt text, compression, and lazy loading. - Internal linking strategy (silo architecture). - Content length (minimum 1,500 words for pillar pages). - **Content Quality**: - Avoid AI-generated content; require human-written, E-E-A-T compliant copy. - Integration of FAQs, case studies, and data-driven insights. --- ### **4. Advanced Keyword Research &a...
I'm in need of a seasoned AI developer to build an advanced software so...incorporate a user-friendly interface into the solution. Specifics of the Project: - The AI solution needs to be compatible with Whole Slide Images (WSI). - The training of the AI model will be conducted using raw images without annotations. Ideal Skills and Experience: - Deep Learning Frameworks: The ideal candidate will have a strong background in using frameworks such as TensorFlow, PyTorch, or Keras. - Model Development: Hands-on experience with Convolutional Neural Networks (CNNs) and Transfer Learning is a must. - UI/UX Design: Prior experience in user interface design is an advantage. This project is a unique opportunity to contribute to a critical health solution, and I look forward to seeing ...
Overview: I have an existing NLP-based fake review detection system that scrapes review data from multiple websites and labels them as fake or real based on the review rating. The system utilizes TF-IDF transformation, machine learning models, and explainability techniques (SHAP/LIME) to analyze and classify reviews. Currently, the model assumes that low-rated reviews are fake and high-rated ones are real, which is a simplistic approach. Now, I want to enhance the system to actually determine if a review is fake or real based on advanced algorithms rather than just the rating. Enhancement Required: I need to upgrade this system with a more robust algorithm that can: Detect Fake Reviews in Real Time – Implement real-time processing of new reviews. Cross-Check Locations Using...
I am in need of a skilled data scientist with Python experience to help refine and enhance my existing LSTM model for time series predictions. Key Responsibilities: - Review and improve my current code base to optimize model performance. - Ensure directional accuracy of model predictions exceeds 90%. Ideal Skills: - Proficiency in Python, specifically with LSTM. - Experience with time series data and predictive modeling. - Strong problem-solving skills for code enhancement and debugging. I have prepared synthetic time series data with about 990 arrays of timestamp, target, a, b, c. The target is defined by the equation 2*a - b (last target value + a, b change). I need to compare the model predictions with a test sample (20% of the data) based solely on directional changes...
I have developed an LSTM model along with other machine learning techniques such as Random Forest, SVM, and XGBoost. However, the results are not performing as expected. I’m looking to improve the accuracy and explore techniques that can enhance the performance of these models. I’m seeking an experienced AI Model Developer to help optimize an ensemble machine learning model for a numeric dataset, focusing on sensor data and time-series analysis related to body motion projects. If you want to apply other ML methodologies, that would be great as well. Dataset size: 9.1 MB Budget: $50 Timeframe: 1 day
I'm seeking a professional with a strong background in AI, specifically in computer vision and supervised learning, to assist with my machine learning project focusing on object detection. Key Responsibilities: - Data prepa...object detection. Key Responsibilities: - Data preparation and labeling for supervised learning - Building and training machine learning models for object detection - Testing and fine-tuning models for improved accuracy Ideal Skills and Experience: - Extensive experience with computer vision and supervised learning - Proficiency in machine learning frameworks and libraries (e.g., TensorFlow, Keras, PyTorch) - Previous experience working on object detection projects - Strong skills in data preparation and model training - Excellent problem-solving and an...
...Expertise in HTML5, CSS3, JavaScript, React.js, and GSAP for creating responsive and dynamic websites. Backend Development: Proficient in Flask and TypeScript for API design and server-side programming. Database Management: Skilled in SQL for designing, querying, and optimizing relational databases. Machine Learning: Experience in building and training deep learning models using TensorFlow and Keras. Project Experience: Worked on healthcare apps, event management systems, and personal websites with robust UI/UX. My Services Include: Full-stack web development Front-end animations and interactive features Database design and optimization Python scripting and data analysis AI/ML model development and deployment I am adaptable, reliable, and always eager to learn new technologies t...
...SEO (hreflang tags, geotargeting in Search Console). - Pagination and crawl budget optimization. - Server-side rendering (SSR) vs. static site generation (SSG). --- ### **3. On-Page SEO Specifications** - Keyword-optimized meta titles/descriptions (dynamic templates for scalability). - Header tag hierarchy (H1-H6) with semantic HTML. - Content optimization: - Keyword density (LSI keywords, TF-IDF analysis). - Image alt text, compression, and lazy loading. - Internal linking strategy (silo architecture). - Content length (minimum 1,500 words for pillar pages). - **Content Quality**: - Avoid AI-generated content; require human-written, E-E-A-T compliant copy. - Integration of FAQs, case studies, and data-driven insights. --- ### **4. Advanced Keyword Research &a...
Overview: • Setup the Arduino framework for the py32f003 MCU. • Integrate and test the nRF24L01 module with the MCU. • Develop and build a working example program demonstrating communication via the nRF24L01. • Provide basic overview documentation of the setup and testing process. • Skills required: Embedded C Programming, Arduino IDE. • Timeline: Complete within one week. Published py32F003 nRF24L01 with RF24 library avilable. Link will be shared Deliverable: that the freelancer should either perform a remote setup of the final working project environment or provide a virtual image of the IDE environment with the working project.
For the purpose of providing yacht rental services, having the ability to attract customer traffic and having the ability to rank at the top. I have a template that I have chosen for this, we will continue on that template. I can also evaluate those who have an effective template.
Hello, we need a presentation made through canva that displays screenshots from different website that have ads that we will provide you displayed in the appropriate locations. I have made a quick example to show you exactly what we want. This project should be easy to complete. If there's any data missing in the sheet provided, just skip and move onto the next one. There should be up to 100 slides
...research and write multiple journals in this field, unpublished manuscript will be fine. the project is about doing research on 1. Core Research Question: - “How can we develop a novel graph-based deep learning framework combining GCNNs, temporal modeling, and contrastive learning to improve fraud detection in imbalanced transaction networks?” 2. Specific Objectives: - Develop a hybrid GCNN-LSTM model with triplet and contrastive losses. - Investigate novel contrastive learning strategies (e.g., graph-specific augmentations, supervised vs. self-supervised approaches). - Propose new anomaly detection metrics tailored to graph-structured, temporal data. - Evaluate performance on real-world and synthetic fraud datasets, focusing on imbalanced data chal...
...research and write multiple journals in this field, unpublished manuscript will be fine. the project is about doing research on 1. Core Research Question: - “How can we develop a novel graph-based deep learning framework combining GCNNs, temporal modeling, and contrastive learning to improve fraud detection in imbalanced transaction networks?” 2. Specific Objectives: - Develop a hybrid GCNN-LSTM model with triplet and contrastive losses. - Investigate novel contrastive learning strategies (e.g., graph-specific augmentations, supervised vs. self-supervised approaches). - Propose new anomaly detection metrics tailored to graph-structured, temporal data. - Evaluate performance on real-world and synthetic fraud datasets, focusing on imbalanced data chal...
These are some samples created by AI - I really like the one marked sample cover - however, there are great pieces I enjoy in each of these. I like the idea of the back, but I'm unsure how that would work with the sample cover - so I'd be open to sharing more about my book, character descriptions, and possible scenes that take place in the woods to be more cohesive
...hours. ✅ The output should include a confidence level (%) for each prediction. ✅ The solution should be efficient and optimized for time-series forecasting. ✅ The final deliverable should include: A well-documented Python script or Jupyter Notebook. A trained model (or the training script). Instructions on how to use the model with new .txt files. Preferred Model Types (but open to suggestions): - LSTM (Long Short-Term Memory) – Good for sequential data and capturing trends. - XGBoost / LightGBM – Works well with structured time-series data. - Other advanced forecasting techniques (if justified). Skills Required: ✅ Experience with time-series forecasting in Python (TensorFlow, PyTorch, Scikit-Learn, etc.). ✅ Strong background in feature engineering and data preproc...
I am looking for an experienced Machine Learning Engineer to upgrade my fake review detection system with a strong focus on Explainable AI (XAI). The existing system is developed in Google Colab, using classical ML, LSTM, and BERT for review classification. While fake review detection is already implemented, the goal of this project is to introduce novel AI approaches that improve interpretability, transparency, and trust in predictions. The final system must be deployed as a simple website or a browser extension for real-world usability. This project must be completed within 4 days, so I need someone with expertise in ML, XAI, cloud deployment, and real-time data handling. I am also open to incorporating new and trending AI techniques that add uniqueness to the project. Project S...
...demand for dropshipping. The candidate must have expertise in the following models and frameworks: Trend Prediction (Time-Series) Prophet – Time-series forecasting for viral trend detection. LSTM (Long Short-Term Memory) – Recurrent neural network for trend longevity prediction. Social Media Sentiment Analysis BERT (Bidirectional Encoder Representations from Transformers) – NLP model for detecting sentiment in captions, comments, and posts. VADER (Valence Aware Dictionary and sEntiment Reasoner) – Lightweight sentiment analysis for real-time engagement tracking. Engagement Velocity Prediction LSTM (for real-time tracking) – Predicts post virality based on early engagement data. Random Forest (Ensemble Model) – Identifies patterns in...
...experience). 3. ATS Optimization (Basic) • Integrate BERT or TF-IDF models to ensure resume formatting is ATS-friendly. 4. Cover Letter Generation (Optional for MVP) • Basic functionality to generate cover letters based on job descriptions (can be scoped down for MVP). 5. Multi-Platform Support (Android, iOS, Web) • Build mobile apps (using React Native/Expo) and a web app (using React.js/Next.js). 6. User Dashboard & History (Basic) • Provide users with a simple dashboard to view, edit, and download previous resumes. Skills Needed: • Experience with React Native (for mobile apps) and (for web app) • Knowledge of FastAPI (Python) for backend/API development • Familiarity with OpenAI GPT-4 API and ATS optimization using BERT/T...
I'm running a Shopify store selling personality-based products like actor T-shirts, calendars, NBA posters, etc. I'm in need of a PPC expert who can help me run Google Ads to increase my sales. Key Requirements: - Expertise in Google Ads - Also Facebook ads - Experience in e-commerce - Understanding of targeting teens and young adults Skills and Experience: - Proven track record of increasing sales through PPC - Familiarity with apparel and personality-based product advertising - Ability to create engaging ads that resonate with my target audience
...Responsibilities Build time series forecasting models to predict sales trends and demand fluctuations. Analyze large datasets to improve forecast accuracy and inventory planning. Utilize Python (Pandas, NumPy, Scikit-learn, etc.) for data processing, modeling, and machine learning. Work with AWS cloud services (S3, Lambda, Redshift, SageMaker) for data storage and computation. Apply ARIMA, Prophet, LSTM, XGBoost, and GRUs to improve demand forecasting. Collaborate with a distributed team based in Delhi and Kolkata. Ensure forecasting models are robust, scalable, and aligned with business objectives. Requirements 3-6 years of experience in Data Science, focusing on retail demand forecasting. Strong expertise in Python (Pandas, NumPy, Scikit-learn, etc.). Hands-on experience with A...
I'm in need of a skilled professional who can create and optimise a neural network for a custom image classification task. The primary requirements for this project include: - Create a neural network capable of classifying images from a custom dataset. - Optimise the network for the best performance. - Flexibility in using any framework (TensorFlow, PyTorch, Keras, etc.) as per the project needs. Ideal candidates for this job will have a strong background in computer vision and neural network development. Experience with image classification tasks and working with custom datasets will be a significant advantage. Your ability to optimise the network for top performance will be key to the project's success.
We need to take the attached existing thumbnail and adjust it with the following details: Update to text (top left) SET-UP EXAMPLE #3 Change the image to Show a EERO PRO6e unit Change color only on EERO POE WIRING DIAGRAM - Color should be light orange Update the diagram with the attached version #3 Thank you
We need to take the attached existing thumbnail and adjust it with the following details: Update to text (top left) SET-UP EXAMPLE #2 Change the image to Show a Trendnet POE Switch, replacing the current EERO switch (White EERO unit Stays) Change color only on EERO POE WIRING DIAGRAM - Color should be light green Update the diagram with the attached version #2 Thank you
I need a capable AI Chatbot, built using Python (NLTK, TF-IDF, Logistic Regression), to be integrated into business websites (React + Node.js). The primary function of this bot is to handle FAQs specifically related to our products. Key responsibilities include: - Creating a chatbot that can effectively respond to product-specific inquiries with engaging and informative text responses. - Ensuring the bot is seamlessly integrated with the website. - Utilizing the tech stack of Python, Streamlit, React, Node.js, and MongoDB for optimal performance. Ideal candidate should have: - Extensive experience in AI and chatbot development. - Proficiency in Python and the specified libraries. - Strong skills in React and Node.js. - Previous projects demonstrating the creation of product-speci...
...professional experience in Python development. Be specific about the number of years. Strong Problem-Solving Skills: Demonstrated ability to analyze complex problems and develop innovative solutions. Must have excellent analytical and problem-solving abilities. AI/ML Expertise: Hands-on experience with machine learning and deep learning libraries and frameworks, such as TensorFlow, PyTorch, Scikit-learn, Keras, Pandas, NumPy. List all the relevant technologies. Cross-Language Integration: Experience integrating Python with other languages (C++, Java, JavaScript) using tools like SWIG, Cython, JNI, or WebAssembly (or equivalent). List the relevant tools. Code Quality: A strong commitment to writing clean, well-documented, and maintainable code. Experience with version control syst...
...interface for seamless user experience and provides detailed analytical insights. --- ### Tech Stack #### Machine Learning Backend - **Python** (Jupyter Notebook for development) - **Libraries:** - `pandas`, `numpy`, `scikit-learn` → Data processing - `seaborn`, `matplotlib` → Visualization - `XGBoost`, `LightGBM`, `RandomForest`, `SVM`, `Logistic Regression` → Model stacking - `TensorFlow/Keras` (optional) → Deep learning enhancements - `Flask` or `FastAPI` → API to serve the ML model #### Web Development - **Frontend:** React.js / , Tailwind CSS - **Backend:** Node.js with OR Django (if using Python for both backend & ML) - **Database:** PostgreSQL / MongoDB - **Authentication:** Firebase/Auth0 --- ### Machine Learning Approach #### ...
More details: Which aspect of the economy are you most interested in analyzing? GDP growth Which specific impacts on the travel industry are you interested in? Tourism activities What type of dataset do you have available for the analysis? Economic indicators
...(Cardiovascular risk, longevity, VO2 max improvement) - Live Dashboard (Interactive tables & AI-generated insights) - AI-Based Treatment Recommendations & Further Investigations Technology Stack: - Frontend: Streamlit (Python Web Framework) - Backend: Flask (Python API) - File Handling: PyMuPDF (PDF), pytesseract (OCR for images) - AI Models: Hugging Face Transformers (Medical NLP), TensorFlow/Keras - Database: PostgreSQL, Firebase, or MongoDB Deployment Options: - Local Deployment: Runs on a single PC using Streamlit + Flask - Cloud Deployment: Deploy using AWS, Google Cloud, or Heroku - Enterprise Deployment: Host on Docker + Kubernetes for scalability Next Steps for Developers: - Confirm installation & dependencies on the server/machine - Set up a virtual environme...
I'm looking for an expert CAD designer with experience in HVAC systems to create a detailed underfloor heating layout for a commercial office building. The design should primarily focus on the open office areas. Key Responsibilities: - Create a comprehensive CAD layout for the underfloor heating system. - Include heat output tables to ensure optimal heating coverage. - Design should be suitable for a commercial office space. Ideal Skills and Experience: - Proficiency in CAD software - Previous experience with underfloor heating systems design - Knowledge of heat distribution calculations - Understanding of commercial office space design requirements.
...recommendation accuracy. **Key Objectives:** - **Data Collection & Preprocessing**: Use movie datasets (e.g., IMDB, MovieLens) and clean the data using **pandas**. - **Feature Engineering**: Extract key features like genres, ratings, and user preferences. - **Model Development**: - **Content-Based Filtering**: Recommends movies based on similarity in genres, actors, and directors using **TF-IDF & Cosine Similarity**. - **Collaborative Filtering**: Uses **KNN or Matrix Factorization (SVD)** to suggest movies based on user ratings. - **Evaluation & Deployment**: Use **RMSE (Root Mean Square Error)** to evaluate the model and deploy it using **Flask or Streamlit**. **Technologies Used:** ✅ Python (pandas, NumPy, scikit-learn) ✅ Machine Learning ...
...FinNifty**: 30 points. - **BankNifty**: 50 points. - **Dynamic Stop-Loss Adjustments:** - **Initial SL:** Below/above the first yellow line. - **Trailing SL:** Adjust as price moves towards the target. - **Strict Risk Control:** No new entries once a trade closes. --- ## **4. AI/ML Integration for Optimization** ### **A. AI-Powered Signal Validation** - Use **ML models (Random Forest, XGBoost, LSTM)** to: - Validate **breakout strength**. - Predict **win probability**. - Detect **fake breakouts**. ### **B. Adaptive Targets & SL** - **ATR-Based Dynamic Targets**: - Instead of fixed targets, use **ATR-based profit booking**. - **Reinforcement Learning for Stop-Loss Optimization**: - Adjust SL dynamically based on market conditions. ### **C. AI-Powered Scre...
I have a wordpress website and need someone to add a top menu, i need to be able to change link or add item in top menu anytime i want
...news, and forums. • Explain how sentiment scores are derived, contextual nuances are captured, and anomalies are flagged. • Outline how AI will handle multi-language sentiment analysis, especially for Arabic and English. 3. Mathematical Models & Formulas • Provide mathematical equations for sentiment scoring algorithms (e.g., NLP-based polarity detection). • Define text vectorization methods (TF-IDF, Word2Vec, BERT embeddings). • Describe how AI models classify emotions (e.g., anger, joy, sadness, etc.). 4. Algorithm Selection & Justification • Recommend the best machine learning (ML) and deep learning (DL) algorithms for different aspects of the system. • Justify why specific algorithms are chosen (e.g., LSTMs for time-series s...
I need to convert data from XML to Excel. I've got an example XML file that can be used as a reference for the conversion. Ideal Skills: - XML - Excel - Data Conversion - Attention to Detail Please ensure that the conversion is precise and matches the structure of the example XML.
