แมชชีนเลิร์นนิง (ML) Jobs

I am subscribed to Google Colab Pro+, and I want to train an AI model with agents to build a system capable of solving complex and unique CTF challenges.

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I have collected hundreds of standard photographs of hands in many poses and from many people. Nothing is uniform: skin tones, hand sizes, lighting, backgrounds, and even finger counts may vary. The goal is to turn this dataset into a practical analysis tool that can: • calculate the flexion/extension angle at every finger joint in each image • flag when a finger or phalanx is completely absent so that it can be recorded automatically I expect you will combine classical computer-vision preprocessing with a deep-learning model (PyTorch or TensorFlow are fine) and possibly leverage pose-estimation libraries such as MediaPipe or OpenCV for landmark detection. Accuracy matters more than perfection in lighting or background, so robust data-augmentation and domain-adaptation tech...

We want to use the existing data and use other concepts for data augmentation compared to what we have now. Then we want to retrain the machine learning model.

I’m building an NLP-driven, multimodal assistant that accepts text, image, and audio inputs, but its replies still drift into hallucination. The goal is straightforward: sharpen response accuracy so the system stays firmly grounded in fact. Right now the core pipeline is a Hugging Face Transformer model wrapped in a Retrieval-Augmented Generation (RAG) layer. I need you to audit the entire flow, diagnose where and why hallucinations appear, and then apply proven mitigation techniques. That could involve prompt engineering, better retrieval logic, truth-focused data augmentation, fine-tuning, or introducing guard-rail frameworks—whatever combination delivers measurably higher factual precision. Deliverables • A revised model or inference pipeline that demonstrably impro...

I have a growing archive of high-resolution intraoral photos and I need an AI mechanism that can automatically locate every tooth in each image, assign the correct FDI or Universal numbering, and clearly classify each tooth type (incisor, canine, premolar, molar, wisdom). You are free to decide whether a pre-trained or custom-built model is best; accuracy and speed matter more to me than the underlying brand of framework. Python with PyTorch or TensorFlow, OpenCV for preprocessing, and a clean REST or CLI inference interface would suit my workflow, but if you have a more elegant stack, I’m open. Key deliverables • A trained model capable of processing new intraoral 3d scans and returning JSON with tooth positions, numbers and classes. • Lightweight script or API e...

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I have a dataset made up entirely of categorical variables and I want to understand the hidden relationships inside it. The task is strictly exploratory: I am not asking for predictive modelling, only a deep dive that surfaces meaningful patterns and trends. What I expect from you • Clean the data where needed so that the exploratory work is reliable. • Use suitable techniques for categorical exploration—cross-tabulations, chi-square tests, association rules, clustering on encoded variables, or any other method you feel is insightful. • Present the findings in clear, non-technical language supported by concise visuals (bar charts, heat-maps, mosaic plots or similar). • Provide a short, well-commented notebook or script (Python with Pandas, NumPy, SciPy, s...

I’m looking for a proven team to configure and secure an AI-driven open-claw system from end to end. The build must meet industrial safety standards, pass every functional test, and be ready for immediate deployment once delivered. My key requirements are simple but non-negotiable: • You already hold 1,000+ verifiable reviews demonstrating consistent, high-quality work. • Your operation is based in the United Kingdom or Pakistan, as quick on-site or time-zone-aligned collaboration may be required. Scope of work 1. Evaluate my current hardware plans and confirm compatibility with your preferred AI control stack. 2. Implement the full claw control logic, fail-safe routines, and sensor feedback loops in a maintainable codebase. 3. Provide a clear, device-level sa...

I need an AI Expert to help me in my Project, within a month. I have carried out the Analysis part of the Project. The AI person needs to recommend a relevant Model and help with 'how to do' part. This is based on a medical istrument performance analysis.

Quero um robô que consiga antecipar, com alta precisão, o próximo resultado do jogo Aviator analisando apenas os padrões que surgem em tempo real. Não disponho de qualquer base de dados histórica, então a própria aplicação precisará coletar, processar e prever em fluxo contínuo, com latência mínima. O que considero essencial: • Captura automática dos dados diretamente da fonte do jogo (API, WebSocket ou técnica equivalente). • Módulo de análise focado em padrões ao vivo, sem depender de registros antigos. • Resposta rápida o suficiente para ser útil durante a mesma rodada. • Evidência objetiva da precisão pr...

Project Reference: Cluely-like AI Assistant Analysis ________________________________________ 1. Document Overview 1.1 Purpose This document provides a detailed analysis of a Cluely-like AI assistant application, focusing on: • Functional capabilities • System architecture • Behavioral patterns • Stealth mechanisms The goal is to support the development of a detection and prevention system for such applications. ________________________________________ 2. Business Requirements (BRD) 2.1 Objective Develop an AI-powered assistant that: • Captures live conversations (audio/system input) • Transcribes speech in real time • Provides contextual AI-generated suggestions during conversations • Generates post-session summaries and insights ___________...

Pro java & springboot developer Comfortable with AI and LLMs etc

I’m building a smart fitness companion that adapts every workout to how much discomfort a user is feeling that day. The core of the product is an algorithm that generates personalized plans, asks the user to rate their pain on a simple in-app scale, and then adjusts intensity, exercise selection, and rest periods automatically. Over time it should learn from completed sessions and update routines while presenting clear progress trends so the user can see where they’re improving without aggravating problem areas. Here’s what matters most: • Personalized fitness plans generated by AI. • Live pain-level monitoring through self-reported scales (no wearables in the first release). • Visual progress tracking that highlights correlations between pain scores...

I am building a cinematic blast sequence and need solid data-driven support rather than eye-balling particle emitters. The idea is to run an AI/ML simulation that predicts how metal, glass, concrete, wood and plastic fragments fly away from the detonation point, then turn those numbers into clear data-visualisation charts I can hand directly to the FX team. Scope • Direction, speed and distance must be predicted separately for each material class, following the colour code I already use on set (red = metal, blue = glass, grey = concrete, orange = wood, green = plastic). • The charts have to highlight the mean and standard deviation for every variable so the artists immediately see the “typical” trajectory as well as the natural spread. Other metrics such as perce...

We seek collaboration from responsible professionals to develop a tool for our Controls, process automation use () that will be used in conjunction with our websites by our sales folks. Our sales team has been using several sales tools & we like to replace them with our own customized tool - which is the reason for this post. We shall own all the work you will develop or use for development. The attachment provides the detailed work scope for you. Include some reasonable time for training our folks about your work (so we can maintain) & warranty for 3 months after final acceptance, deployment. Submit relevant response to our JD only with relevant examples of work done in the past by you for satisfied clients. If no relevant examples are submitted, we shall assume you have not done ...

Freelancer Requirement: Design & Development of Long-Range Electric UAV (Stealth Capable) We are seeking an experienced UAV design and embedded systems expert/team to collaborate on the end-to-end development of a long-range electric drone with advanced capabilities. Project Overview We are building a high-endurance unmanned aerial vehicle (UAV) with the following target specifications: Flight Time: ~16 hours Payload Capacity: 5 kg Base Weight (without payload): ~45 kg Propulsion: Electrically powered (Single fan propulsion system) Configuration: Fixed-wing / hybrid (open to expert recommendations) Special Requirement: Low observability / radar signature reduction (stealth-oriented design) Should have AI capabilities to take decision Purpose : Survillance Scope of Work 1. UAV D...

I need a clear, evidence-based report that compares the performance of today’s most widely cited object-detection algorithms. The focus is strictly on Computer Vision, zeroing in on Object Detection, and the core goal is to evaluate how the main approaches stack up against each other in terms of accuracy, speed, computational cost, and real-world suitability. Scope • Analyse at least three state-of-the-art methods—think Faster R-CNN, SSD, YOLO (v7/8), DETR or similar. • Draw all claims from peer-reviewed journals, top-tier conference papers, or authoritative benchmark leaderboards (e.g., COCO, PASCAL VOC). • Present metrics consistently (mAP, FPS, FLOPs, params, latency) so direct comparison is effortless. • Highlight strengths, weaknesses, and trad...

I need a clear, evidence-based report that compares the performance of today’s most widely cited object-detection algorithms. The focus is strictly on Computer Vision, zeroing in on Object Detection, and the core goal is to evaluate how the main approaches stack up against each other in terms of accuracy, speed, computational cost, and real-world suitability. Scope • Analyse at least three state-of-the-art methods—think Faster R-CNN, SSD, YOLO (v7/8), DETR or similar. • Draw all claims from peer-reviewed journals, top-tier conference papers, or authoritative benchmark leaderboards (e.g., COCO, PASCAL VOC). • Present metrics consistently (mAP, FPS, FLOPs, params, latency) so direct comparison is effortless. • Highlight strengths, weaknesses, and trad...

Overview We’re looking for a US-based software engineer with AI experience who can help us secure and manage client opportunities. Your main role is simple: You’ll get jobs and communicate with US-based clients, attend calls, and represent projects. Our internal team will handle the actual development work. Responsibilities - Get relevant AI/software roles or freelance projects - Join client calls and represent the project professionally - Understand client needs and communicate them clearly - Act as the main point of contact throughout the project - Coordinate with our internal engineering team Requirements - Based in the United States - Background in software engineering (AI/ML preferred) - Strong communication and client-facing skills - Comfortable leading calls and discu...

I’m building a small-scale tool that can turn any written prompt into a high-quality, anime-style cartoon illustration of a human character. The look should lean unmistakably toward modern anime rather than Western comic or classic Disney, with attention to clean linework, vibrant cel shading, and expressive facial features. Here’s what I need from you: — A reproducible AI workflow (Python script, notebook, or GUI wrapper) that accepts a text prompt and returns a 1024×1024 PNG in the requested anime style. — Either a fine-tuned Stable Diffusion / SDXL checkpoint, LoRA, or an equivalent open-source model ready for local inference, along with clear setup instructions. — Example prompt templates that highlight how to control pose, lighting, background,...

I need a set of modular Python scripts that bring machine-learning intelligence into my network-monitoring workflow. The primary goal is to spot malware traffic in real time, analyse it on the fly and trigger an automated response that contains or blocks the threat without manual intervention. Scope of work The solution should ingest live packet data (pcap, NetFlow or similar), run it through an AI/ML model trained to recognise malware signatures and behavioural anomalies, and then decide—within seconds—whether to raise an alert, quarantine the source or execute a predefined remediation playbook. Beyond simple flagging, I also want deeper malware analysis so I can review payload characteristics and produce short forensic reports. Required deliverables • Clean, well-d...

I’m expanding our skilling programme and want an expert who can design, build, and thoroughly test a hands-on AI/ML curriculum. The core of the course will revolve around agentic applications and production-grade Python, with every lab and capstone project deployed to AWS. An intermediate command of the AWS stack—think SageMaker, Lambda, ECR, CloudFormation, and the new AI-powered CodeWhisperer/Copilot workflows—is preferred, while experience across the full-stack (React, Node, Docker, CI/CD) will help you weave modern software engineering practices into each lesson. Your day-to-day will include: • Crafting a coherent learning path, slide deck, and detailed instructor notes • Building labs, automated tests, and grading scripts that run seamlessly in AWS &bu...

I am building an AI-powered assistant for our campus that can understand students and staff no matter how they reach out—typed messages, spoken questions, or even photos of notice boards and forms. The core job is to create the full conversational system, wire it to our existing data sources, and make sure it remembers context across an entire back-and-forth so users never feel they are starting over. What the bot must handle • Course information, timetables, and key dates • Event details and real-time updates • A searchable staff directory with contact methods • Personal student info that sits behind login (e.g., enrollment status, fees) Essential capabilities • Accept text, convert voice to text (and optionally reply with TTS), and extract text ...

Flux Hub is an operational data ecosystem for mid-market companies (€2M–€50M revenue). We are building a rapid-response freelance pool for ongoing client projects. We need freelancers in these roles: Role What you will do BI / Looker Studio Developer Build dashboards, ETL pipelines, data blending Data Analyst (SQL + Python) Data cleaning, transformation, exploratory analysis No-code Specialist (Make / n8n) API integrations, workflow automation ML Engineer (light models) Time series forecasting, predictive maintenance Requirements: Proven portfolio (attach links or files) Response time under 12 hours Fluent English (technical documentation level) Ability to sign NDA What we offer: Regular project flow (starting 1–2 projects per month) Fast payment (within 5 da...

Customer Churn Analysis & Prediction Project Overview Conducted an end-to-end Customer Churn Analysis project to identify patterns and predict customer attrition. Focused on both data exploration (EDA) and machine learning modeling to generate actionable business insights. Aimed to help businesses reduce churn, improve customer retention, and increase profitability. Dataset Details Dataset includes customer demographic, financial, and behavioral features: RowNumber, CustomerId, Surname CreditScore, Geography, Gender Age, Tenure, Balance NumOfProducts, HasCrCard, IsActiveMember EstimatedSalary Target Variable: Exited (Churn Status) Tools & Technologies Python Libraries: pandas, numpy (data processing) matplotlib, seaborn (data visualization) scikit-learn (ML modeling) Advanced Te...

I plan to streamline several internal workflows with machine-learning powered automations and, in parallel, launch a tailored chatbot that reflects my brand voice. The engagement is split into two connected tracks: 1. Smart automation • Map current data flows, then design and deploy Python-based pipelines that ingest data from my CRM and analytics dashboards. • Train and tune models (TensorFlow / scikit-learn preferred) to surface predictive insights—think churn risk and high-value lead scoring—served through a lightweight API so the business team can consume results in real time. 2. Custom chatbot • Build a conversational agent (Rasa, Dialogflow, or a comparable LLM stack) able to switch context between customer support queries and basic sales q...

I'm seeking an AI/ML programmer to develop an image classification model specifically for fingerprint recognition. Key requirements include: - Expertise in image recognition and classification - Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) - Strong background in handling and processing image datasets - Knowledge of security and privacy considerations in biometric data Ideal candidates will have a proven track record in similar projects and the ability to deliver accurate and efficient models.

Long term developer needed for ongoing support, update or replace trading module and adding value to established 18 month project. REQUIRED - experience of AI with trading charts, signals, orders to digital wallet and knowledge of crypto, scraping and API Main requirment - trading module not hitting Moving Average crosses and needs fixed or replaced, so please only apply if knowledge on syncronising MA signals with VWAP and then buy/sell orders sent to wallet. also issues with scraping website. -Bot been running for about a year and agents been knocked offline. -Bot uses chart info from online dex sources via data scraping to assist coin selection process -Bot also uses AI via OpenAI to anaylse trade opportunities. -telegram function to display trade info and AI output. -hosted on 5 li...

I am preparing a quantitative study on “Inequality in participation versus visibility in online communities” . The raw material will come from one or more publicly-available Kaggle datasets; the challenge is to turn those data into a coherent, publication-level research project. Here is what I need from you: • Help me locate or combine the right Kaggle datasets, then document the download and preprocessing steps (Kaggle API, Python pandas, or R tidyverse are fine). • Define robust operational metrics for participation (e.g., post frequency, comment depth) and visibility (e.g., up-votes, follower counts, ranking on leaderboards). • Build the analysis pipeline—cleaning scripts, exploratory statistics, and the main inferential models (regression, GEE, or...

Hi, I’m working on my Master’s thesis in Electrical Engineering (Power Systems) and looking for an experienced freelancer to help complete key technical components. The project focuses on AI-based predictive maintenance for distribution transformers, combining machine learning models and optimization-based scheduling. Scope of Work: 1. Machine Learning Models Implement and finalize: Random Forest (already partially done) SVM (RBF kernel) Decision Tree (optional benchmarking) Perform: Hyperparameter tuning (GridSearchCV / RandomizedSearch) 5-fold cross-validation Performance evaluation (Accuracy, F1, AUC) 2. Data Handling & Feature Engineering Work with BRAVO dataset (15k+ samples, 16 features) Handle: Missing values (<5%) Class imbalance (SMOTE already used ~87:13 &ra...

I want to put an AI tutor in every algebra student’s pocket. To make that happen, I need you to design and code a Retrieval-Augmented Generation pipeline that can
understand a question, pull the most relevant snippets from my curated algebra textbooks, formula sheets, and problem sets, then explain the answer step-by-step with rock-solid reasoning. Here is what success looks like from my side: • A working RAG stack (embeddings → vector database → LLM) wired together with modern tooling such as LangChain, LlamaIndex, or an approach you can justify. FAISS, Pinecone, Weaviate, or similar are fine for the vector layer; OpenAI, Claude, Llama 2/3, or comparable models may drive generation. • Retrieval tuned for high recall and low latency—students should see a...

Hello, I’m looking for an experienced developer to help me build a GitHub portfolio centered around Python, DevOps, and AI/ML. The goal is to create 3–5 high-quality, real-world projects such as: ML model with deployment (API + Docker) CI/CD pipeline using Jenkins or GitHub Actions Data pipeline or ETL project NLP or anomaly detection use case I’m not just looking for finished code — I’d like clear documentation and some guidance so I can understand and explain the work confidently. Please share examples of similar work if available.

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AI Tool: Convert Architectural Casework Elevations (PDF) into Editable AutoCAD DWG Files with Self-Training Interface Project Description I need a custom AI tool that automatically reads architectural casework elevation drawings (PDFs) and generates complete, editable AutoCAD DWG files using my existing multiple block libraries. The tool must detect cabinets, sinks, fixtures, shelving, countertops, and miscellaneous equipment, then place the correct blocks with accurate dimensions, countertop outlines, and section views. It must also include a natural language self-training interface so a non-technical user can teach and refine the AI using plain English rules or by correcting the output drawing. This is Phase 1 (Proof of Concept) of a larger initiative. Future phases will expand to multip...

We are looking to hire experienced freelancers to help build a next-generation AI-powered camera management system for a camera business that is moving from traditional operations to a more advanced, centralized, and intelligent platform. The objective is to develop a scalable solution that can support multi-camera monitoring, AI-based body scanning, behavior tracking, vehicle number plate recognition, drone integrations, real-time alerts, and secure admin control. The platform should be designed for future growth and long-term operational use. This is not a basic prototype — we are looking for professionals who have worked on relevant, production-level systems. Project Scope The system will include, but is not limited to, the following capabilities: 1. Live camera streaming and re...

I want to build a custom large-language model that goes beyond text-only chat. The goal is a predictive engine that can read free-form text, combine it with numerical features, and return forward-looking insights. In practice that means designing an architecture able to embed and fuse both modalities, training it on my mixed dataset, and validating that the model can reliably forecast the target variables we care about. You will take me from data preprocessing through to an inference-ready checkpoint. I expect clean Python code (PyTorch or TensorFlow), sensible use of the Transformers or similar libraries, and a clear explanation of why each modelling choice was made. Please include evaluation notebooks that show the lift over conventional baselines and provide an API-style script so I ca...

I need an end-to-end AI solution that will sit on our motorcycle dealers’ websites and instantly handle customer support and inquiries. The focus is clear: the assistant must be able to answer technical support questions as well as offer product information and recommendations. To create a seamless experience, I want the AI available through two channels: a real-time live-chat widget and a searchable knowledge-base interface. Order tracking and inventory features are not priorities right now, but I may add them once the core support flows prove reliable, so please build with future expansion in mind. Core scope • Import and structure all service manuals, spec sheets, and accessory catalogs so the model can pull precise technical data and suggest compatible parts or models. ...

We are looking for a talented frontend developer to bring our Figma designs to life by building a visually stunning, high-performance website using HTML, CSS, and JavaScript. This project involves translating Japanese content, so proficiency in Japanese is required. The ideal candidate will have a strong eye for design and be able to accurately replicate layouts while enhancing them with smooth animations and professional styling. Responsibilities: Convert Figma designs into clean, responsive HTML/CSS/JavaScript code Ensure pixel-perfect implementation aligned with the original design Translate Japanese content accurately into the website Implement modern UI animations and interactions Optimize for performance and cross-browser compatibility Requirements: Proven experience in frontend deve...

Need someone that can figure out how to get backlinks exclusively with AI agents Here is a suggested workflow Conversation with Gemini How would you use AI agents to get local backlinks? In 2026, the transition from traditional search to Answer Engine Optimization (AEO) has shifted the value of local backlinks toward Entity Authority. Instead of just "blue links," AI agents now prioritize backlinks that prove your business is a trusted, real-world entity. Here is a technical workflow for using AI agents to acquire high-authority local backlinks. 1. Autonomous Local Prospecting (The "Researcher" Agent) Instead of manual searches, you can deploy agents to identify "unlinked local entities" where your business should be mentioned. The Workflow: Use a no-cod...

Description: I need a bot that trades on Polymarket's "BTC price up/down in 5 minutes" binary markets. The bot will buy a "Yes" token when it predicts a price increase within the next 10 seconds, then sell immediately after a small upward tick — scalping tiny profits repeatedly. The model's output is the probability of a price rise in the next 10 seconds (not the full 5 minutes). Role: Full-stack ML engineer → data pipeline + LSTM/XGBoost model + backend API + frontend dashboard. Tasks: Ingest BTC spot price (1s or 1min), VIX, Polymarket token price, order book data Train LSTM or XGBoost to output probability of price increase in next 10 seconds Build FastAPI backend + simple frontend (Streamlit/React) Integrate with Polymarket CLOB API for li...

I have a large, continually growing collection of emails that needs to be processed automatically. The goal is twofold: 1. Classify each email into predefined business categories with high accuracy. 2. Extract relevant entities (names, dates, IDs, product references, etc.) from the same messages. You will own the entire machine-learning workflow. That means cleaning and exploring the raw email text, crafting useful features, training and tuning your models, and packaging the final solution behind an API that I can call from our existing back-end. Python is a must, and I’m comfortable with either TensorFlow or PyTorch for the deep-learning components—use whichever lets you move fastest. Traditional techniques with Scikit-learn are welcome wherever they make sense. Because t...

Project Description: I am looking for an experienced Machine Learning or AI specialist to develop a climate-responsive adaptive façade control system. The goal is to create an intelligent model that automatically adjusts façade shading devices and ventilation strategies based on environmental conditions to improve thermal comfort and reduce energy consumption. Project Objectives: Develop a Machine Learning-based adaptive façade control system Predict optimal shading positions based on outdoor temperature and indoor conditions Improve thermal comfort while minimizing energy consumption Create a climate-responsive façade control framework Expected Deliverables: Machine learning model (Python / MATLAB / suitable platform) Feature importance analysis Predictive ...

I need an experienced Natural Language Processing specialist to build a predictive model that learns from text data and produces accurate, repeatable forecasts. The project centers on end-to-end model creation: cleaning and preprocessing raw text, selecting the right architecture, training, and evaluating performance against clearly defined metrics. I will supply the text dataset along with the target variable I want predicted. You will decide on the most suitable NLP approach—whether that’s classical techniques with scikit-learn or a deep-learning stack such as TensorFlow or PyTorch—document your reasoning, and implement the solution in clean, well-commented Python. Deliverables: • Reproducible code (Jupyter notebook or .py files) with setup instructions • ...

deploy a dual-model pipeline on AWS. Scope of Work Dual-Model Deployment: Deploy the Pillar-0 (Atlas architecture) for multi-finding classification across Chest, Abdomen, and Brain. Integrate Sybil-1.5 for specialized future lung cancer risk prediction (1–6 year horizon). Inference Pipeline & Report Generation: deploy pipeline that takes zipped DICOM files, performs 3D volumetric reconstruction, and runs concurrent inference. script (attached). This script shows how to read the (Zip file), stack of the medical pictures (DICOMs) into a 3D block, and run both the Pillar-0 model (for findings) and Sybil-1.5 (for cancer risk) -This tells AWS which specialized tools to install to read 3D medical images AWS Cloud Architecture: Host models on AWS SageMaker (GPU instances like m...

I need a Python expert to take several CSV and Excel files and turn them into solid, statistically sound insights. The work is focused entirely on data analysis and processing—no web scraping or app development—so your time goes straight into cleaning the raw tables, exploring patterns, and building the statistical models that answer my business questions. You should feel at home with pandas for wrangling, NumPy and SciPy for numerical work, and a modeling library such as scikit-learn or statsmodels to run regressions, clustering, or any technique you recommend. If you prefer working in a Jupyter notebook, that’s perfect; a well-commented .py script is also fine. I’ll supply the data files and a brief outlining the hypotheses I want tested the moment we start. Del...

What you'll do Design and optimize AI image/video generation pipelines for high-concurrency inference Integrate and fine-tune open-source video generation models (e.g. Wan2.2, CogVideoX) Optimize GPU inference performance using TensorRT, xformers, and quantization techniques Implement LoRA-based fine-tuning for character consistency and style customization Collaborate with ML researchers to accelerate the path from research to production Requirements 5+ years of AI/ML engineering experience Hands-on experience with video or image generation systems in production Strong PyTorch skills; experience with Diffusers and DiT architectures Solid understanding of GPU inference optimization (TensorRT, xformers, quantization) Practical LoRA fine-tuning experience, including hyperparameter t...

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I need a freelancer to perform statically analysis. For my DNP project outcomes, comparing pre and post implementation surveys. Requirements: - Expertise in predictive statistics - Proficiency with numerical data - Experience with regression analysis, time series analysis, or machine learning algorithms Ideal Skills and experience Working with DNP students Please provide examples of previous work and relevant qualifications.

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