Do you have data that needs to be transformed into an effective AI model? We offer custom AI and machine learning model design and development services tailored to your business goals, focusing on accuracy and seamless integration with your systems. From data cleaning and organization to building and training advanced models, providing documented code, and a ready-to-use model, we ensure clear results and detailed reports to support decision-making. About the Service • Design and development of custom AI and ML solutions for your projects, with access to a ready-to-use model and complete code documentation. • Based on your data, we build solutions that are quickly implementable and adapt to your operational needs and existing system architecture. • We cover data preprocessing, feature extraction, and building 1-3 models using advanced algorithms with deep learning options when needed. • We provide detailed performance reports and graphs explaining results, highlighting strengths and limitations, along with a ready model file and guidelines for retraining when necessary. What We Offer • Design and development of custom ML and deep learning models for your tasks: Regression, Trees, SVM, XGBoost, CatBoost, plus CNN/RNN/LSTM as needed. • Model training and optimization through Hyperparameter Tuning to ensure maximum possible performance based on your data. • Delivery of documented, organized, and reusable code, and a trained model ready for use in your project or system. • Comprehensive performance report with metrics like Accuracy, F1, Recall, Precision, and ROC/PR curves for visual performance illustration. • Data processing and cleaning for up to 50,000 rows as part of the basic service, with data preparation scripts provided for future use. Service Features • High customization aligned with your goals and data scope, ensuring easy integration into your existing system. • Interpretable results and clear documentation of outputs with explanations. • Clean and documented code, with clear instructions for retraining and reproducing results. • Technical support and step-by-step guidance during delivery to ensure you understand how to run and maintain the model. • Multiple model options: from traditional ML models to deep neural network architectures depending on task complexity and data availability. Implementation Includes • Data processing and cleaning for up to 50,000 rows (Data Preprocessing). • Feature Engineering and transforming data into suitable representations for modeling. • Building one to three ML/deep learning models according to your requirements. • Model training, performance optimization (Hyperparameter Tuning), and results evaluation. • Preparation of performance reports and graphs with results explanation and code documentation. • Delivery of the trained model and documented code file with retraining instructions. Suitable For • Companies and analytics teams needing usable AI solutions. • Startups looking to build custom models from their data to accelerate decision-making. • Product and marketing teams interested in recommendation engines or user behavior analysis. • Research labs requiring a reusable mechanism for rapid experimentation. Workflow 1. Understand the problem, define requirements, and desired metrics. 2. Prepare and clean data, describing it and its fields. 3. Select appropriate algorithms and build initial models. 4. Train and optimize models with precise evaluation of results. 5. Deliver the model, code, and reports with performance-illustrating charts. 6. Basic post-delivery support and provision of retraining instructions when needed. What We Need From You • A clear description of the problem and its scope, with examples of target outcomes. • The available dataset, its format, and whether it includes labels/tags. • Information about operational