Dataset curation jobs

...values in a way that keeps our reporting reliable • Spot and correct inconsistencies in field naming, formats, and codes • Build or update interactive Power BI dashboards so stakeholders can explore trends without digging into raw tables Typical deliverables • A cleaned dataset (or SQL view) ready for downstream use • A PBIX file with refreshed visuals, slicers, and KPIs • A brief change log that notes any assumptions or transformations applied Acceptance criteria • No duplicate keys returned in the final dataset • All mandatory fields complete or clearly annotated • Visuals render without errors and refresh successfully with the latest data If you enjoy meticulous data hygiene and know Power BI inside out, I&rsquo...

• Engineered and deployed a 5-page interactive website using HTML5, JavaScript, and Bootstrap, configured hosting infrastructure through GoDaddy and Cloudflare. • Researched and compiled data on 100+ U.S. medical practitioners to build a structured prospect dataset. • Cleansed and validated clinical data using MS Excel and Google Sheets, improving data accuracy and usability to 95%. • Monitored and automated website performance, DNS, and SSL/TLS infrastructure using Cloudflare and cPanel,saving 10+ hours per week. Analyzed 500K+ financial transactions to build an AI-powered tax fraud detection and risk monitoring system. • Led a team and engineered 27 data features and optimized machine learning classification models to enhance anomalous behavior detection....

...all four tools (Python/SQL/Excel/Power BI) against the same dataset Interview preparation — SQL and case-study interview practice, mock interviews Exact Tools I'll Be Using Category Tool / Platform Programming Python (pandas, NumPy) Version Control Git, GitHub Database SQL (MySQL) Spreadsheet Microsoft Excel Business Intelligence Power BI Statistical Computing R Online Courses DataCamp (Python, SQL, Excel, and Power BI skill tracks) Video Course Udemy — "The Ultimate MySQL Bootcamp" (Colt Steele) Exact Books I'll Be Using Book Author(s) Covers Python for Data Analysis (3rd ed.) Wes McKinney pandas, NumPy, data cleaning/wrangling SQL for Data Scientists Renée M. P. Teate SQL fundamentals through window functions and analytical dataset ...

...later phase, not this one ## Screening questions **Answer all five questions in your bid.** Bids that skip them, or answer with generic copy, will not be reviewed and will not be shortlisted. Please answer in the bid itself, not in a follow-up message. 1. Every total on this site is computed from match records rather than stored. What is the main performance risk in that approach for a 120-year dataset, and how would you handle it? 2. How would you stop the natural-language question box from ever inventing an answer that isn't in the database? 3. Which stack would you use, and why that one for this project specifically? 4. Roughly how long would each of the three milestones take you?...

...can live in VBA, dynamic array formulas, or Power Query; whatever you choose must keep recalculation time low even as the dataset grows. • Populate a clean, well-labeled “Results” sheet that rolls up the key metrics I need at a glance, ready for downstream reporting. Please build the automation inside one .xlsm or .xlsx file, include clearly commented code or formulas, and provide a brief setup note so I can adjust input ranges later. If you suggest alternative approaches (such as integrating Power Automate or Python), outline why they would offer a noticeable speed or maintenance advantage. I will consider the project complete when: 1. I can drop a fresh dataset into the form and receive correct, automatically refreshed summary values without to...

I’m building a dataset that will teach household robots to recognise and replicate real-world routines, and I need first-person video captured while you carry out typical chores at home. The core activities I’m after are: • Cooking (meal prep, stove work, plating) • Tidying (picking items up, wiping surfaces, putting objects away) • Laundry (loading, unloading, folding, storing) • Other everyday “whole-house” tasks that naturally fit into the above sessions Please record with a smartphone secured in a comfortable head mount. If you already own a GoPro or another action camera you may use it, but the phone rig is my preferred format because it keeps the optics and metadata consistent across contributors. Natural, well-lit envi...

...anomaly detection and trend forecasting • A RAG pipeline that enriches results with external intelligence sources • Automated tests plus deployment scripts for a frictionless push to our AWS environment • Brief technical runbook so my team can maintain and extend what you build Acceptance criteria 1. Models detect and alert on outliers with <5 % false-positive rate against our existing dataset. 2. Trend forecasts achieve demonstrable accuracy over a four-week back-test. 3. Code passes unit tests (≥90 % coverage) and CI pipeline runs clean. 4. Infrastructure spins up in a single command and tears down without orphaned resources. If this matches your skill set, let’s move quickly—I’m ready to review a concise proposal and see e...

I need a structured dataset that profiles car-rental businesses operating throughout Greece. The information should be gathered from leading Greek directories, each company’s Google Business Profile, and Google Maps. Scope of work • SearchΕνοικιάσεις+Αυτοκινήτων ενοικιάσει%20αυτοκινήτων , and any relevant Google listings for active car-rental agencies. Need to collect 5500-6000 car rental offices with full details in Greece • For every distinct company you find, capture all available contact details—company name, logo (download the ima...

I need a fresh collection of face video from Indian and Indonesian participants to expand a training dataset for an AI-driven facial recognition model. The emphasis is on video variety (angles, lighting, backgrounds, expressions) so the algorithm learns to generalise accurately across real-world conditions. Every image must be accompanied by three demographic labels: • Age range 18- 99 years • Gender : Male & Female Skin Tone: Dark for all age groups Medium for 35+ only Deliverables (per participant) Need to upload the video in our Client portal. Technical notes FPS 30 and Minimum resolution 720 px. Mobile: Vertical Recording Laptop: Horizontal Recording I’m working on a tight timeline, so please mention how many distinct contributors you can so...

We're a media company building a speech dataset and we need natural Australian speech, regional accents included. You'll record 1 hour (in sessions of 10-20 minutes) on your own phone at home, then transcribe them. Pay: 20 USD for the completed 1 hour Requirements: grew up in Australia, comfortable reading and writing English, a phone and a quiet room No experience needed. We're after ordinary everyday speech, not voice-acting. To apply, send a 15-second voice note reading this line: "I was gonna grab a coffee on the way home, but I got stuck in traffic and ended up taking the back roads instead." and tell me which town you went to secondary school in. Acceptance checks • Clear Australian accent, no heavy noise or echo. • Raw, unfiltered a...

...SDXL specialist to improve the consistency and quality of the visual quality and consistency photorealistic images of adult men, including portraits and full-body compositions. The first milestone is to review our existing image-generation setup, model, and LoRA, identify likely causes of inconsistent results, and recommend an approach before starting new training. Further work may include dataset curation and captioning, LoRA training, and integration into our existing workflow. Deliverables should include the trained LoRA, reproducible training and generation settings, a documented workflow, and before-and-after comparisons using agreed prompts and seeds. Evaluation should demonstrate consistent performance across a representative test set, rather than only selected ...

...a clean, analysis-ready file. Accuracy is critical because the dataset will feed directly into my statistical models once the entry phase is complete. Here’s what I need from you: • Transfer every relevant field exactly as it appears, preserving both text strings and numerical values. • Standardise obvious inconsistencies (date formats, duplicate IDs, stray spaces) but flag anything ambiguous instead of guessing. • Deliver the finished work in a structured spreadsheet or CSV that can drop straight into Python/R for analysis. I will provide clear login credentials, field mapping notes, and a small pilot batch so we can confirm approach and turnaround time. Once that sample is signed off, we move to the full dataset. If you have solid exp...

I have a set of Excel spreadsheets that contain only text fields needing orderly transfer into our central database. Every cell must be copied exactly as shown, preserving line breaks, punctuation, and any special characters. The files are already well-structured, so accurac...contain only text fields needing orderly transfer into our central database. Every cell must be copied exactly as shown, preserving line breaks, punctuation, and any special characters. The files are already well-structured, so accuracy and speed are my priorities rather than complex formatting or formula work. You’ll receive the spreadsheets through a shared drive, and I’d like the completed dataset returned as a single, clean CSV file. A quick turnaround and zero‐error output will be the key mar...

...file. The numerical figures sit in an online database, while the descriptive text lives in a collection of PDF files. Your task is to extract both, marry them row-by-row, and return a single, well-organized dataset that I can sort, filter, and analyse immediately. Here is what I need from you: • Log in to the specified online database (credentials will be provided) and copy the required numeric fields without altering their values or formats. • Open each supplied PDF, pull the associated text passages, and align them with the correct numeric records. • Deliver the finished dataset in the format we agree on—Excel, Google Sheets, or CSV all work for me—as long as field names remain consistent and everything is error-free. Accuracy and consis...

I have a set of operational data sitting in a relational database and I need concise...You’ll connect to the existing database (PostgreSQL) and write well-structured, well-commented SQL that can be scheduled or dropped into a BI tool later. I’ll supply a schema diagram and sample rows so you can test locally; you return the .sql scripts plus a brief README explaining how to run them and what each metric represents. Acceptance criteria • Queries execute without errors on the full dataset • Results match the sample output I provide • Code is clearly commented and easy to adapt for future trend or workflow-automation work If you’ve built operational dashboards before or have tricks for optimizing heavy joins, that’s a bonus. Let’...

I am compiling a cultural documentation archive that focuses exclusively on the unique hea...occasion, or meaning behind the movement. Deliverables I will review and approve: • A set of 30–50 separate video files (MP4, 1080p minimum, 30 fps). • A simple spreadsheet that pairs each file name with location, participant age range, and a one-sentence cultural context. • All raw audio kept intact unless ambient sound compromises clarity; no stock music overlays. I will handle final curation myself, so no editing beyond basic trimming and color balance is required. Recording on a modern smartphone is fine as long as image stabilization is switched on and framing is steady. Once I confirm that the clips meet the stated resolution, audio, and context notes, t...

I am looking for a regular, long-term partner to edit ve...first test video will be a one-time viral launch piece breaking down the Lil Durk trial verdict, framed around relationships and loyalty to bridge into my upcoming winter collection. • Each video must be at least 61 to 70 seconds long to safely qualify for creator payouts. • Must use high-quality, clear media and real lifestyle clips (no cartoons or low-effort AI voices). • Handle premium visual curation and clean text layouts. Budget & Scope: This is a pay-as-you-go position. We will start with 1 or 2 test videos bought individually. My budget is a flat $30 to $40 per video. If the workflow fits, I want to lock you in as my permanent channel editor. Please link 1 real video you have edited showing off y...

...covered. The same approach should be followed for all 11 states. Data Quality Before submitting the final Excel file: Check for duplicate entries. Check that State and District are correctly assigned. Check that phone numbers are properly formatted. Remove obviously irrelevant businesses. Check that the data is readable and properly arranged in Excel. Ensure there are no blank rows within the dataset. Final Deliverable One consolidated Excel (.xlsx) file containing the collected electrical businesses from all 11 states. I am particularly interested in quality, accuracy and maximum coverage, rather than a small list of businesses collected from a few searches. Please mention in your proposal: Your experience with Google Maps data scraping/research. Estimated number of unique recor...

I have a single company’s financial statements archived as PDFs and I need clear, data-driven answers to two questions: how has the firm’s revenue grown over time, and what has happened to its profit margin along the way? The task starts with converting the PDF tables into a workable dataset, cleaning any OCR or formatting issues, and structuring the numbers so year-on-year trends are reliable. From there, I want descriptive statistics, visualisations that highlight revenue as well as gross and net profit, and a concise narrative explaining the drivers behind any major shifts you uncover. Please use whichever toolchain you are most comfortable with—Python (pandas, tabula, Camelot), R (tidyverse), or even Power BI/Excel—as long as the extraction is accurat...

...files that contain spiral-shank bolts mixed with other hardware. I need a compact, CUDA-friendly C++ solution that runs directly on an NVIDIA Jetson Orin NX, spots every bolt in each cloud, records the head-center XYZ (and, if practical, its axis direction), and writes the results to a structured XML file. Performance targets • Accuracy: at least 95 % correct identification on the annotated dataset I will supply. • Speed: real-time or near real-time processing on the Orin NX under the standard JetPack image. You are welcome to build on open-source libraries such as PCL, Open3D, Eigen, cuBLAS or TensorRT, provided everything can be compiled through CMake and redistributed without license issues. Deliverables • Well-documented C++ source code and CMake p...

...atmosphere and aesthetic guidelines. • Provide guidance for photoshoots and vertical video creation. • Develop ideas for Reels, including concepts, hooks, storylines, shots and creative references. I already have access to professional photographers and can create high-quality photography and vertical video, so I need someone who can direct those resources strategically. 3. Instagram feed and visual curation • Plan and organise the Instagram feed so the profile looks cohesive, clean, sophisticated and visually premium. • Decide how photos, Reels and carousels should be sequenced. • Maintain visual consistency across posts. • Recommend Reel covers, thumbnails and post presentation. • Review content before publication to ensure it fits the over...

...Product naming * Photography / illustration * Subtle colour variations where appropriate * Graphic devices * Patterns * Borders * Botanical / ingredient illustrations * Texture * Layout * Premium finishing The overall system should remain **cohesive rather than becoming 11 completely different designs**. --- # 9. PACKAGING AESTHETIC Packaging should communicate: **Premium quality + provenance + curation + trust** It should look strong both: ### On shelf and ### As a thumbnail on an e-commerce website. This is particularly important because Fine Select will be sold through **Alexa Premium / online channels**, so the packaging needs to retain visual impact even at small digital sizes. --- # 10. PRINT & PRODUCTION The packaging design should be commercially practica...

...cleans the text, and stores it in a structured format; • a robust NLP model—think transformer-based architecture fine-tuned on a well-curated fake-vs-real news dataset—trained and evaluated in Python with libraries such as PyTorch, TensorFlow or Scikit-learn; • a lightweight interface (REST API or simple web demo) that returns the probability of falseness plus the key features that influenced the decision for transparency. Deliverables • End-to-end codebase with clear instructions ( / , README) • Trained model weights and scripts to reproduce training and evaluation • Detailed report showing dataset splits, confusion matrix, precision, recall, F1 and overall accuracy ≥ 90 % • Deployment script or Dockerfile so I can...

I have a growing archive of drill-hole and operational logs from our mining sites and I want a specialist to turn those raw tables...notebook (Python, R, or SQL) that ingests the raw files and outputs repeatable analyses • Visual dashboards (Tableau, Power BI, or similar) highlighting KPIs, bottlenecks, and recommended process adjustments • A brief report translating the numbers into operational recommendations my field supervisors can act on tomorrow Your work will be accepted once the pipeline runs end-to-end on a fresh dataset, the dashboards refresh without manual intervention, and the report clearly shows at least three actionable optimization wins backed by data. If you have prior experience with mining telemetry or drill-rig data, please flag it—I value...

I’m building a dataset to train computer-vision models, and I need recordings from 100 native residents of India performing simple head gestures. Each participant will record a short video in which they: • Nod up-and-down • Shake side-to-side A neutral background, steady lighting and the phone held at eye level are all that’s required; no special equipment beyond a standard smartphone camera is necessary. The clip can be silent, rotated in portrait or landscape, and should last roughly 15–20 seconds so both motions are clearly visible. Deliverables for you: 1. One MP4 or MOV video per participant labelled with a unique ID. 2. A brief text file (CSV or XLSX) mapping each ID to age range and gender for diversity tracking. 3. Written confirmatio...

I am looking to license three production-ready, white-label codebases to grow our internal B2B software library. If you already maintain well-tested repositories that meet the outlines below, I’d like to review them and purchase full commercial rights. 1. AI/ML: AI-Powered Early Disease Prediction and Healthcare Assistant Portal (Python, Flask/Streamlit, MySQL/Kaggle dataset). 2. Retail / ERP Module • Built on the MERN stack. • Should cover POS operations, inventory tracking and invoice generation out of the box. 3. Cybersecurity/Cloud: Secure Cloud File Storage System Using Cryptography & OTP Verification (Python or Java, AWS S3/Firebase). Deliverables • Clean, fully documented source code with rights to re-sell or embed in other clie...

# Financial Statement Data Extraction Specialist – 800+ Scanned PDFs I am looking for an experienced **Data Extraction / OCR / Data Engineering specialist** to extract financial data from approximately **800 phone-scanned financial statements** for academic research. The documents cover **multiple companies and multiple years**, and the final output must be structured as a **panel dataset in Excel** using the template I provide. ### Pilot Test I have uploaded **5 financial statements as a pilot sample**. The freelancer should extract the pilot documents into my Excel template exactly as the full project would be processed. The pilot will be used to evaluate the extraction method and accuracy before awarding the full project. ### What Must Be Extracted For each company/...

...project will be completed in two phases: 1. Develop a complete Simulink model of the hybrid PV–battery–buck system, generate an offline dataset of transitions, train the Q-table, and implement a MATLAB Function block for closed-loop voltage regulation using the greedy Q-table controller. 2. Enhance the controller with physics-informed reinforcement learning by incorporating buck converter equations into the reward function and state features. Demonstrate voltage regulation under varying conditions and provide brief documentation covering encoding, reward design, and usage. Deliverables: - Complete Simulink model of the hybrid PV–battery–buck system. - Offline dataset of transitions and trained Q-table. - MATLAB Function block implementing the greed...

I have a spreadsheet ready and need my mixed dataset transferred into it with absolute accuracy. The numeric figures will come to you as digital files, while the accompanying commentary and labels are written in clear-hand handwriting. Your task is to key everything into the correct rows and columns, verify that totals still add up after entry, and return a clean, well-formatted Excel file. Because this is a straightforward data-entry project, I welcome detail-oriented newcomers who want to earn their first review—just show me you can meet the standards below. Deliverable • Completed Excel workbook with every numeric value and handwritten note entered exactly as supplied, no spelling or calculation errors.

...attention to detail ✓ Ability to follow specific targeting criteria All data collection and outreach must comply with applicable website terms, privacy laws, anti-spam requirements, and platform policies. No unauthorized access, bypassing restrictions, or collection of private/personal information is required. ## Deliverables Depending on the project phase, deliverables may include: 1. Scraped/raw dataset 2. Cleaned and deduplicated database 3. Verified/validated business contact data where permitted 4. Segmented prospect lists 5. Email campaign setup 6. Email templates 7. Campaign performance reports 8. Data analysis reports 9. Excel/Google Sheets/CSV files 10. Summary dashboard and actionable insights ## Long-Term Opportunity This is potentially an **ongoing monthly proje...

...workflow that turns a small customer transaction & engagement dataset into clear insights about how people behave on our platform. The data will require thorough cleaning and validation, thoughtful feature engineering, and sensible normalization before any analysis begins. Once the data is tidy, please explore it with Pandas and NumPy, surface the most useful behavior patterns, then build a light predictive component focused on customer segmentation. A handful of well-chosen Matplotlib charts should illustrate the key trends and support the final narrative. Deliverables • A single, well-commented Python script or Jupyter Notebook that runs start to finish without manual tweaks • The cleaned, processed version of the dataset saved back to disk •...

I need help with analyzing a dataset using Excel. The required statistical analysis is descriptive statistics. Key tasks include: - Calculate mean, median, mode - Determine variance, standard deviation - Create frequency distribution Ideal skills and experience: - Proficiency in Excel - Strong background in statistics - Experience with data analysis Please provide your approach and relevant experience.

...a set of bar charts, line charts, and scatter plots with Matplotlib (seaborn is fine if you prefer) so the insights stand out clearly. Please rely on Pandas for wrangling, NumPy for any numerical work, and Matplotlib for the visuals. Keep the logic straightforward and easy for another developer to follow. Deliverables • Python source code (with comments and logical sections) • Cleaned CSV dataset • Folder or embedded output containing the bar, line, and scatter plots • A short written summary (a few paragraphs or a markdown cell) explaining the cleaning decisions, the handling of missing values, and the key takeaways from the analysis I’ll consider the job complete when the script runs end-to-end on my machine, reproducing the cleaned data and c...

I have a clean quantitative dataset and need the key findings distilled into a concise two-page report. Using SPSS, please run a t-test, one-way ANOVA, and a standard multiple regression, then translate the output into plain-language insights that a non-statistician can follow. The report should: • Summarise the rationale, assumptions checked, test statistics, effect sizes, and exact p-values. • Highlight practical meaning of the results, not just significance. • Include any relevant SPSS tables or graphs pasted neatly (they may sit in an appendix if space is tight). Deliverables 1. .sav file with syntax or a reusable .sps script showing every step. 2. Two-page PDF or Word document containing the narrative interpretation. I consider the job complete when ...

...performance. Web Research – Collect and verify relevant product, market, competitor, and business information through web research. eBay/Marketplace Data Management – Manage product listings, pricing, inventory, categories, descriptions, and listing quality. Data Validation & Quality Checking – Check datasets for errors, duplicates, missing information, incorrect formats, and inconsistencies. Large Dataset Handling – Efficiently manage and analyze datasets containing thousands of rows and multiple columns. Reporting & Insights – Transform raw data into meaningful reports and actionable business insights. Generative AI for Analytics – Use AI tools to support data exploration, reporting, automation, and productivity. Business Decision Sup...

...makers lacking digital presence – Evaluate leads by authenticity, craft quality, and story potential – Build a vendor pipeline for onboarding 3. Vendor Relationship Building – Reach out to leads via Instagram DM, email, or WhatsApp – Have genuine conversations about their craft and needs – Facilitate meetings with the Vendor Acquisition Team – Maintain relationships through handoff 4. Product Curation & Photography Selection – Review rough photos from vendor visits – Select products for professional photography – Evaluate based on authenticity and visual potential 5. Catalogue Review & Final Approval – Review Excel catalogues with SKUs, names, features, filters – Verify accuracy and cultural alignment &n...

I need a fresh, reliable list of recruiting agencies operating anywhere in India. For each agency I expect the company name, website URL, contact e-mail, phone number, city and state, plus any other location details that help me target...feed this information into upcoming marketing campaigns, so data quality is critical—no scraped junk or outdated listings. The scope is not limited to one sector; include firms that place talent in IT and Technology, Healthcare, Manufacturing and any other industry you can verify. I’m looking for broad coverage, but every record must be genuine and up-to-date. Please deliver the finished dataset as a clean CSV file, ready for import. Let me know your estimated record count and the validation steps you’ll follow to ensure acc...

I am looking for a creative eye that can turn my ideas into polished Canva visuals for Facebook. Every piece you design should be tailored to spark engagement—shares, comments, and reactions are the metrics that matter most to me. Here’s how I see the collaboration: I’ll provide the core message, brand...scroll-stopping graphics inside Canva and hand back the editable links plus ready-to-publish JPG/PNG files. While Facebook is the immediate focus, I’m open to formats that could later adapt into infographics, promotional banners, or quote cards, so flexible layout thinking is a plus. Quality and punctual delivery are non-negotiable. If you’ve mastered Canva’s advanced features (animations, brand kits, dataset imports) and can consistently meet a...

I have gathered stem diameter, plant height, and biomass data from roughly twenty citrus cultivars that were experimentally infected with a plant virus. Each cultivar-virus combination was measured in four biological replicates, while the healthy control was sampled once. Replicate variability is high and the work needs to stand up to peer review, so I am commissioning a formal statistical analysis focused on ANOVA. You may work in SAS, SPSS, or R—whichever lets you document every step transparently and reproducibly. Deliverables I need: • Annotated code or syntax showing data import, model specification, assumption checks, and post-hoc comparisons. • Publication-ready tables and figures that illustrate the effects of infection on diameter, height, and biomass across cu...

...rather than 150 separately cut audio files. I am looking for someone to review the EXISTING Northquill codebase rather than rebuild the product from scratch. For a first paid milestone, I would like to: 1. Review the current architecture and identify why its recommendations gravitate toward equal duration. 2. Diagnose the broken slide thumbnails/review UI. 3. Run the real ~4-hour / ~150-slide dataset through an improved alignment approach. 4. Compare the proposed slide boundaries to manually established correct transitions. 5. Produce a recommendation and proof of concept before making larger architectural changes. The goal is that Northquill should do the hard alignment itself, with the human review step correcting exceptions rather than manually rebuilding the timeline. If...

I have a collection of text-ba...a few IF statements—to make the sheet easier for me to search, filter, and maintain later on. If you see smarter ways to automate routine steps, I’m open to suggestions. There’s no hard deadline, so you can focus on getting each sheet perfectly clean and fully functional. Please share a brief sample of similar work or a short demo file so I can see your approach before we move on to the full dataset. Deliverables • Finalised Excel (.xlsx) file with all text records entered and verified • Mirrored Google Sheets version, formulas included and tested for parity • A concise note explaining any key formulas or optimisation choices Quality, consistency, and attention to detail are the priorities; speed is welcome b...

...web scraping project to collect laptop product information from Amazon search results and convert unstructured HTML data into a structured dataset. **Key work performed:** • Automated Amazon search-page navigation using Selenium WebDriver • Scraped laptop listings across multiple search-result pages • Collected and saved **438 product HTML containers** for further processing • Parsed HTML content using BeautifulSoup • Extracted product information including **model name, price, rating, and available offers** • Implemented handling for missing values using `"N/A"` • Combined scraped records into a Pandas DataFrame • Exported the final structured dataset to CSV for further analysis • Organized the scraping workflow int...

...accepted. The mathematical sections must show each step of the derivations and cite supporting literature where needed. For the simulation, design scenarios that explore small, medium and large sample sizes, report bias, MSE and coverage of credible/confidence intervals, then discuss the findings in the Results subsection. Finally, verify the proposed estimators on at least one publicly available dataset, explaining preprocessing and interpreting the calculated entropy values. Deliverables (acceptance criteria): • LaTeX manuscript ready for journal submission • All R and Python scripts, organised and documented so I can rerun everything with a single command • Generated tables, figures and any supplementary material in a clearly labelled folder • A ...

...cleans the text, and stores it in a structured format; • a robust NLP model—think transformer-based architecture fine-tuned on a well-curated fake-vs-real news dataset—trained and evaluated in Python with libraries such as PyTorch, TensorFlow or Scikit-learn; • a lightweight interface (REST API or simple web demo) that returns the probability of falseness plus the key features that influenced the decision for transparency. Deliverables • End-to-end codebase with clear instructions ( / , README) • Trained model weights and scripts to reproduce training and evaluation • Detailed report showing dataset splits, confusion matrix, precision, recall, F1 and overall accuracy ≥ 90 % • Deployment script or Dockerfile so I can...

I already have the dataset, an initial Logistic Regression model, and a rough Streamlit prototype. I now need a clean, production-ready web application that lets a student enter basic details—academic scores, extracurricular activities, and technical skills—and instantly returns the percentage likelihood that they will be placed. No login or sign-up flow is required; the interface should open straight to the form and result. Here is what is in place so far: • Data: inside /data • Training scripts: and in /src • A pickled baseline model () and a placeholder Streamlit file () You’ll refine or retrain the model with scikit-learn, tidy the codebase, and polish the Streamlit UI so the prediction feels seamless and

I am building a dataset of egocentric (first-person) video and I need your help recording everyday life from your point of view. The task is simple: wear or hold a camera and film your normal daily routines, both indoors and outdoors. Think morning prep in the kitchen, a walk to the store, commuting, tidying up, cooking dinner—anything that naturally happens in your day. What I need from you • Raw, unedited video files recorded in first-person view. • A balanced mix of indoor and outdoor footage. • Footage that captures genuine daily activities; no staged or highly specific tasks required. Please mention the device you plan to use (GoPro, smartphone chest mount, glasses cam, etc.) when you send your proposal so I can confirm compatibility with my proce...

...will supply the dataset, a brief prompt and an example of the required report style so you can mirror the exact formatting I need. What matters most is consistency: variable and value labels must be set, syntax saved, and the tables and charts copied into my Word template exactly as shown in the guide (APA-style headings, correct decimal places, uniform fonts). Interpretations should be short, precise, and tied directly to the question being answered Deliverables for each of the seven pieces (instructions, data and format will be provided) • Output file (.spv) with all steps visible • SPSS Dataset File (.sav) • SPSS Syntax File (.sps) Interpretation of results • A Word document containing the formatted tables/figures and the brief interpretation ...

Data Extraction & Clean-up: Downloading and unzipping the 24 GB of raw topographic Cloud Processing: Filtering, organizing, and optimizing the massive dataset for software Modeling: Generating digital terrain models (DTM) and contour lines from the field Adaptation: Aligning and integrating the topographic data with the master project Identification: Checking for geometric discrepancies, elevation errors, or design Drafts: Preparing the technical layouts and structural/geometric alignments for your review

...while still having access to logs and live telemetry from our arms and mobile bases. If your approach can integrate ideas from the broader Robotic Intelligence literature or streamline the research-to-deployment pathway, that flexibility is welcome, but not mandatory. Deliverables • Clean, well-documented PyTorch implementation of the model architecture • Reproducible training scripts with dataset loaders and evaluation hooks • Checkpoints that perform end-to-end in both sim and real, with latency <50 ms per step • A short technical report summarising design choices, experiments and observed performance Acceptance criteria The trained model must reach ≥90 % success in our pick-and-place benchmark after transfer from sim to real without fine-t...

...integrated statistical toolkit (capability analysis, MSA, control charts, hypothesis testing, SIPOC, FMEA, and related tools). I’m looking for a practising Lean Six Sigma professional to use the platform against a realistic project and give me honest, critical feedback. This is a methodology and usability review, not a bug hunt and not a marketing task. What you’ll do: 1. Run a supplied demo dataset through a full DMAIC cycle in the platform (≈3–4 hours). 2. Assess whether the tool sequencing, gate structure, and terminology match how you actually run projects in the field. 3. Evaluate the statistical outputs — correctness, presentation, and whether the interpretation guidance would help or mislead a Green Belt. 4. Identify where the platform ...