Notebook lm jobs

...cleanly after failures. I also want concise notebook-based documentation that shows how the pipeline is triggered, how it scales, and where metrics can be monitored in the workspace. Deliverables • A working Databricks notebook (or repo) that ingests from our existing Kafka topics, performs necessary transformations, and writes the results to our designated target (Delta format inside our lakehouse). • Automated cluster or job configuration files so the pipeline can be deployed to test and production workspaces without manual tweaks. • README or in-notebook commentary that explains setup steps, configuration parameters, and how to extend the pipeline with additional topics in the future. I’ll test the hand-off by running the noteb...

...preprocessing steps. What I expect you to do • Pre-process the text (tokenisation, stop-word removal, lemmatisation, n-grams as needed). • Build and tune one or more unsupervised models—LDA, NMF or any well-justified alternative—for coherent topic extraction. • Interpret each topic with clear keyword lists and, where helpful, short example snippets. • Provide reproducible Python code (Jupyter notebook or .py script) plus a brief write-up of methodology, parameter choices and results. Acceptance criteria • Code runs end-to-end on my machine without missing dependencies. • Topics reach an acceptable coherence score (please propose your preferred metric). • Deliverables are received within the agreed timeline and can b...

task as described

I have a raw customer dataset and I need a predictive model that can automa...model in Python—ideally using pandas, scikit-learn (or similar), and clear visual output via matplotlib or seaborn. What matters most is accuracy and interpretability. I want to understand which features drive each segment, so well-commented code, concise documentation, and an executive-level summary of insights are essential. Final deliverables should include: • A reproducible Python script or notebook • The trained model (saved or easily retrainable) • A brief report highlighting key segments, supporting charts, and recommendations on how to act on them If you have experience with customer data and predictive segmentation, I’m ready to share a sample of the dataset so ...

...functions or classes my team can import in their own projects. Here is what I expect to receive: • A well-structured Python package (PEP-8 compliant) encapsulating all Purecode endpoints we agree to cover. • Environment-aware configuration for base URL, tokens, and any secret keys, ideally loaded from .env files. • A minimal integration example that shows the wrapper in action—CLI script or notebook is fine—as long as it demonstrates at least two endpoints chained together. • Unit tests (pytest preferred) proving the wrapper’s methods return the expected responses and raise clear exceptions on failure. • A concise README with setup steps, dependency list ( or pyproject), and usage snippets. Acceptance criteria: the example sc...

...libraries such as OpenCV, TensorFlow, PyTorch, or a proven YOLO/SSD variant. Accuracy on varied lighting and crowded scenes is more important to me than sheer speed, but the code should still run in real time on a modern GPU. Deliverables • Python source code with clear inline comments • Pre-trained weights (or training notebook) and instructions for further fine-tuning • Short report outlining model choice, evaluation metrics, and sample results • Simple CLI or notebook demo that shows the system working on my test set Acceptance criteria • ≥90 % precision and recall on the provided images • No external dependencies beyond standard Python CV/ML stacks • Reproducible setup: a or that builds without errors Once this m...

...usage to be cost-efficient. Simple questions should not unnecessarily consume expensive AI resources, while difficult questions can use stronger AI when required. The system should prioritize accuracy, reliability and the teaching methodology of my classes, while keeping the ongoing AI cost under control. 5. Image-Based Questions Students should be able to upload a photograph of a textbook, notebook or question. The application should be able to understand the question from the image and provide an appropriate explanation or solution. 6. Classes & Subjects The final application should support Std. 9, Std. 10, Std. 11 and Std. 12. It should be possible to manage different subjects and educational materials separately for each class. 7. Platforms I would like the fina...

I have a collection of scanned notebook pages—my own handwritten notes taken during several scientific studies—that I need typed up into clean, editable digital text. The handwriting is generally legible, but some pages include quick sketches, formulas, and shorthand that must be preserved exactly as written (no interpretation or rewriting). Scope • Around 120 pages of scans supplied as high-resolution JPEGs. • Copy every word, symbol, and line break into a single Microsoft Word document (or Google Docs if you prefer). • Label page numbers in the footer so I can cross-reference with the originals. • Flag any word you cannot confidently read by enclosing it in double brackets [[like this]] for easy follow-up. Acceptance Criteria • 99 %...

Microsoft Fabric Pipeline & Notebook Ownership / Service Principal Migration We are looking for expertise to help us migrate the authentication and execution model of our existing Microsoft Fabric Data Pipelines, Notebooks, Connections, and Scheduled Triggers from individual user accounts to a Service Principal. Currently, several Fabric pipelines and notebooks are created, owned, and executed using individual user identities. Scheduled triggers and pipeline executions are also dependent on these individual accounts. The key challenge is user dependency and ownership continuity. When an employee who created or owns a pipeline/notebook leaves the organization or moves to another role, the associated Fabric artifacts and scheduled processes may continue to be tied to tha...

...them useful for your own processing logic. You can choose whichever parsing approach you prefer (Python + PyPDF2, tabula-pdf, or any other reliable library) as long as the final result is a self-contained .sqlite file I can open directly with standard SQLite tools. Deliverables • The populated .sqlite file with an Amount column containing every transaction value from the PDFs • The script or notebook you used, clearly commented so I can rerun it on future statements • A short read-me explaining setup and execution steps Acceptance Criteria • Every monetary value appearing in the PDFs is present in the Amount column, no duplicates, no omissions • The database opens without errors in the latest SQLite browser • Your script runs on a clean ma...

...clear: I want to know whether user IDs and usernames can be enumerated, how many can be reached, and under which technical or policy constraints. While you are exploring, please note any practical way to spot genuinely engaged users, describe the rate limits you hit, and flag the differences I would face if I ever upgraded the account’s role. Deliverables • A concise proof-of-concept script or notebook that demonstrates the maximum data you were able to pull as a standard member, including any authentication flow and MTProto calls used. • A written report (PDF or Markdown) that explains:  – Which data points are accessible and how reliable they are.  – API limitations tied to channel type, privacy settings, and rate limits.  &nd...

...statement in PDF as soon as we start; from there, I need you to: • Set up the governing equations clearly, stating all assumptions. • Carry out the algebra and calculus without skipping steps, showing logical flow from start to finish. • Present any numerical results with appropriate units and a short interpretation of what they mean physically. A clean, well-commented PDF or neatly formatted notebook (LaTeX, Mathematica, or Jupyter) is ideal for the final hand-off, along with any auxiliary diagrams you create. Accuracy is critical—please double-check boundary conditions, vector calculus identities, and sign conventions before submitting. If this aligns with your expertise in electromagnetism, let me know your expected turnaround and any questions ...

I need help turning a sizable collection of unstructured finance-re...Transformers, pandas, and scikit-learn—or an equivalent stack—makes the most sense to me, but I’m open to a better suggestion as long as it can be containerised for deployment. Acceptance criteria (all must be met): • A preprocessing script that ingests my sample data folder and outputs a tidy feature set • A trained model that beats the baseline I will provide on a held-out test set • A Jupyter notebook (or Markdown report) explaining methodology, key metrics, and error analysis • Dockerfile or conda environment file that recreates the exact runtime Once we have these pieces in place, I’ll integrate the model into my internal dashboard and request a brief hand-o...

...separate the three Iris species, document the process, and hand over reproducible code and results. Here’s what I expect: • A concise notebook or script that loads the data, performs any minimal preprocessing you find beneficial, runs hyper-parameter optimisation, trains the final model, and outputs accuracy, precision, recall and the confusion matrix. • A short write-up (markdown inside the notebook is fine) explaining why the chosen kernel and parameters work best, plus any insights you notice in the feature space. • Saved model file so I can deploy or reload it quickly later. I’ll provide the CSV as soon as we start, and I’m happy to test the notebook in my own environment, so please stick with widely supported libraries s...

I am looking for someone based in China who can help me source **four genuine, high-quality products** from reliable Chinese stores/suppliers at good prices. The four items are: 1. **Hagibis MC40 USB4 NVMe SSD Enclosure** 2. **2TB M.2 NVMe SSD** 3. **Chess Board / Chess Set** 4. **Dragon-themed Notebook / Journal** I am looking for **genuine products at good Chinese-market prices**, not counterfeit, refurbished, used, or questionable products. Please **do not purchase anything before I approve the product and price**. --- ## 1. Hagibis MC40 USB4 NVMe SSD Enclosure — IMPORTANT I specifically want: * **Hagibis MC40** * USB4 * **40Gbps** * M.2 NVMe SSD enclosure * Compatible with M.2 2230 / 2242 / 2260 / **2280** * ASM2464PD controller * Aluminum body / heatsink * Suitabl...

I have a set of handwritten notebook pages, all in clear English, that I need faithfully typed and returned to me as a clean, well-formatted PDF. The pages are numbered and follow a logical order, so accuracy in sequence matters just as much as accuracy in the words themselves. Here’s what I expect: • You will recreate the text exactly as written, correcting only obvious spelling errors while preserving my headings, bullet points, and any underlining or emphasis I used. • Once typed, please lay the content out neatly—consistent margins, clear section breaks, and an easy-to-read font—before exporting the final file to PDF. • I’d like the PDF to be fully searchable and copy-friendly, so use a word-processing tool such as Microsoft Word, Goo...

I need a clear, two-part ...counts, current supermarket locations and inter-zonal distances. Run two alternative location scenarios for a proposed new store and report predicted demand share for each. An accessibility check must round off the analysis, focusing on a 15-minute walking catchment and related walking-distance indicators. Deliverables • Clean, well-commented code (Python) and any GIS project files (jupiter notebook) • A concise technical report that explains data sources, methods, key assumptions and findings, with figures that can drop straight into a slide deck • Step-by-step instructions so I can reproduce results on my own machine Please keep external dependencies to widely used, open-source libraries where possible and document anything that n...

...working through a graded assignment for my Data Science & AI course and need an expert hand with the assignment portion. The task isn’t massive, but it does require someone who can walk me through each step, provide clean, well-commented code (Python preferred), and explain the reasoning in plain language so I can confidently discuss the approach later. What I’ll need delivered: • A reproducible notebook or script that tackles the assignment requirements from data preprocessing through model evaluation • Brief inline comments plus a short write-up (one page is fine) summarizing methods, key metrics, and why those choices make sense • A quick call or chat after delivery so I can clarify any points before submission If that sounds straightforwa...

I have a single company’s financial statements archived as PDFs and I need clear, d...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 accurate and the analysis reproducible. Deliverables • A tidy CSV or Excel file that mirrors the figures in the original PDFs • A short report (PDF or notebook) covering methodology, key findings on revenue and profit, and at least three clear charts • The code or documented steps so I can rerun the process if future statements arrive I’m available to clarify the PDF layout or answer questions about the company&rsqu...

lm article promo

...structuring the datasets (CSV exports from fleet management systems, time-series from pressure and torque sensors, and geology logs). From there, I expect a blend of descriptive summaries to frame the current state, followed quickly by predictive or prescriptive modelling that pinpoints concrete opportunities to boost throughput and reduce costs. Key deliverables: • A well-documented data pipeline or 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 pipe...

...aimed at pinpointing potential anomalies. Your job is to dive into the data, surface any irregular patterns or outliers, and explain what they might mean operationally. What I will hand over: • Raw drill-run datasets in their current format (CSV / Excel); if you prefer a different format, let me know and I can convert it before we start. What I need back: • A concise, reproducible script or notebook (Python, R or similar) that carries out the full trend analysis pipeline. • Clear visualisations that highlight identified trends and the exact data points flagged as anomalies. • A short report (PDF or Markdown) summarising your methodology, the key findings, and recommended next steps. Acceptance criteria: • Code runs end-to-end on my machine with only st...

I need a meticulous typist to turn a stack of Hindi handwritten notes into clean, editable text. Each note set runs well over five pages, and some pages include special symbols or small diagrams that...placeholder so I can review it later. Simple arrows or shapes may be redrawn if you have the tools; otherwise, note their position. Deliverables • A separate, proof-read digital file for every note set, with page breaks mirroring the scans • All symbols faithfully reproduced or flagged with a placeholder tag • Final spell-check and consistency check before submission I will begin with one notebook (about sixty pages) as a trial; once satisfied, I’ll release additional batches. Please tell me about your Hindi typing experience and the turnaround you can o...

...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 • Descriptive statistics plus a basic segmentation model (e.g., k-means or another suitable method) with explanation of why it was chosen • 3–5 clear visualizations that highlight standout patterns and segments • A brief wri...

I have a CSV file with a blend of numerical and categorical columns that I’d like you to explore with Python. Your task is to write clean, well-commented code—preferably in a single, logically organized notebook or script—that walks through data cleaning, imputes missing values using the mean or median as appropriate, and then performs a concise exploratory analysis. Once the data is ready, generate 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 logic...

I need a ...will validate the model’s fit and interpretability. Once we agree on the approach, you can proceed to coding. Deliverables • A self-contained Python 3.x module that defines the regression classes, handles database connection/ingest, trains, evaluates, and outputs coefficients • Inline docstrings and a concise README explaining how to run and extend the code • A short validation script or notebook that demonstrates coefficient calculation, R², and residual plots on a sample pull from the database Acceptance criteria The model must compile and run with only standard libraries plus NumPy. Results on the sample data should match analytical solutions within a small numerical tolerance, and your class interface should allow easy extension to...

...click a button, and receive a polished HD video complete with synced voice-over, on-screen hand-drawn illustrations, captions, and light background music. Scope – Build or configure the AI pipeline (Python or any reliable stack is fine) that combines text-to-speech, scene planning, whiteboard drawing generation, and video rendering. – Keep the interface lightweight—CLI, web dashboard, or even a notebook is acceptable as long as it’s repeatable in one click. – Allow basic branding options such as logo placement, color accents, and an outro slide. Key requirements • Animation style must stay true to classic whiteboard (hand or marker revealing illustrations in real time). • Content focus is motivational learning, so upbeat pacing and clea...

I need fresh, search-focused copy for the landing pages of www.sriramanotebook.com. Before you write a single line, I want you to map out the high-intent keywords our stationery buyers actually type into Google, then weave those phrases naturally into persuasive content. Scope of work • Keyword research: Build a concise list of primary and secondary keywords for each notebook model and for the brand as a whole. • Landing-page copywriting: Using that research, craft clear, engaging text that introduces the product, explains why our notebooks stand out, and highlights the full product specifications (size options, paper quality, binding, page count, ruling styles, etc.). Keep the tone friendly, professional, and easy to scan. • On-page SEO polishing: Optimise H1/...

I need my handwritten biology lecture notes typed neatly into a single, well-structured Word document. The pages include several labelled sketches of cells and processes, so each diagram must be recreated—e... and basic formatting (bullet points, numbering for steps, etc.) should be corrected where obvious, but the scientific terminology must remain exactly as written. Deliverables: • A fully editable .docx containing the typed notes, formatted for A4 printing • All diagrams accurately reproduced and aligned with the corresponding text • Page breaks and section titles that mirror the original notebook layout I will provide high-resolution scans of the handwritten pages as soon as we start. Let me know your estimated turnaround and any questions about the d...

...revenue fluctuations, surface any seasonality or regional differences, and call out under-performing product lines. You are welcome to work in Python with pandas, NumPy, seaborn / matplotlib, or R and SQL—whatever makes the workflow efficient—as long as the final insights are presented in a clear, non-technical format my broader team can understand. Deliverables: • Reproducible analysis file (notebook, script, or spreadsheet) • Concise report summarising findings, implications, and next steps (PDF or Word) • Well-labelled charts and tables suitable for slide decks Acceptance criteria: • All calculations can be rerun without errors • Narrative ties every statistic to a practical recommendation • Visuals are clean, readable, and...

...revenue fluctuations, surface any seasonality or regional differences, and call out under-performing product lines. You are welcome to work in Python with pandas, NumPy, seaborn / matplotlib, or R and SQL—whatever makes the workflow efficient—as long as the final insights are presented in a clear, non-technical format my broader team can understand. Deliverables: • Reproducible analysis file (notebook, script, or spreadsheet) • Concise report summarising findings, implications, and next steps (PDF or Word) • Well-labelled charts and tables suitable for slide decks Acceptance criteria: • All calculations can be rerun without errors • Narrative ties every statistic to a practical recommendation • Visuals are clean, readable, and...

*TITLE:* Need someone to handwrite a 40-page practical file (copy from PDF) — Shahdara, Delhi *DESCRIPTION:* I need a practical file handwritten by copying content from a PDF I'll provide. Details: Total pages: ~40 pages Work: Copy text from the given PDF into a physical file/notebook (I'll provide the file too) Handwriting should be neat and legible Location: Near Balbir Nagar, Shahdara, Delhi — prefer someone local for easy pickup/drop, but open to meet in real-time if needed Payment: ₹8/page I'll share both the PDF and the physical file once we connect Looking for someone who can complete this within 2-3 days. Please message with your availability and if you've done similar work before.

I have an in-silico project that combines structure-based and liga...structure–activity trends and suggest modifications. You’re free to work in Python (scikit-learn, RDKit) or commercial suites as long as the scripts or project files can be rerun on my end. Deliverables • Prepared protein and ligand files with documented parameters • Docking report with ranked poses and interaction diagrams • ADME / ADMET table covering all requested properties • QSAR notebook or project file with model metrics and interpretation • Brief summary outlining key findings and next steps Please attach examples of past work that demonstrate similar docking or ADMET projects so I can gauge your approach and reporting style. I’m ready to move quickly o...

I need help turning a raw set of customer records stored in my SQL database into cle...interest is understanding the patterns that sit beneath the numbers: what customers do, how often they return, and which factors appear to drive purchasing. Once the data story is uncovered, I would like a concise written summary and the reusable code so I can rerun the process whenever fresh data arrives. Deliverables • Well-commented SQL scripts for data extraction and cleaning • A Python notebook (or .py script) detailing the analysis, charts included • Short report highlighting key findings and recommended next steps I’ll provide database access credentials and sample data as soon as we start. If your workflow is solid and your explanations are clear, that’...

...flags any file whose colours drift beyond an acceptable Delta-E or similar metric, along with a summary CSV/JSON and an optional visual overlay for quick human review. Popular libraries such as Python, OpenCV, Pillow or TensorFlow are welcome if they speed development, but I am open to alternative stacks provided setup remains frictionless on Windows and Linux. Deliverables • Source code or notebook implementing the evaluator • Clear installation and run instructions • Sample report generated from a small test set I will provide • Brief README explaining how thresholds can be tweaked and new quality parameters appended Acceptance criteria The tool must process at least 500 images in under 5 minutes on a modern desktop, output a reproducible colour-...

...likely yields. My immediate focus is on two functions: • Disease detection – flag visible leaf symptoms from the images I already have. • Yield prediction – provide a first-pass estimate based on those same images. Only images of crops are available right now, so the solution should rely on computer-vision techniques (Python with TensorFlow or PyTorch is fine). I need: 1. A well-commented notebook or script that trains and tests both models on my dataset. 2. Clear instructions for retraining with new images. 3. Basic performance metrics (accuracy / F1 or similar) on a held-out sample. 4. A short README outlining next-step recommendations for adding soil, weather, or sensor data as we expand toward irrigation management and market-linkage features....

...mined for sentiment and recurring themes so my product and marketing teams can see what drives satisfaction or frustration. Deliverables • A cleaned, well-documented dataset ready for ad-hoc queries • A fully reproducible analysis notebook (Python is preferred; R is acceptable) showing all steps from import to visualisation • A concise slide or dashboard pack highlighting sentiment distribution, top themes, and notable anomalies • Brief written recommendations that tie the findings back to product or service improvements Acceptance criteria: the notebook runs end-to-end on my machine, visual totals match the code output, and insights directly address the customer-feedback objectives. Preferred tools include Python, pandas, scikit-learn, NLTK or...

...key relationships). • Implement both classifiers in Python with scikit-learn, using cross-validation and grid/random search for hyper-parameter tuning. • Produce clear metrics (accuracy, precision-recall, ROC-AUC) and concise plots that compare the two models side-by-side. • Package everything in a well-commented Jupyter notebook plus a short summary report (PDF or Markdown) that explains findings, chosen parameters, and next steps. Acceptance criteria 1. Notebook runs end-to-end on my machine with a single cell execution (conda / pip requirements listed). 2. Both Support Vector Machine and logistic regression results are reported using the same validation splits. 3. Code is PEP-8 compliant and functions are logically modular. 4. Summary report ...

Hi, I’m looking for a professional book editor and book designer/typesetter for a travel and motorcycle expedition handbook I have written. The project is titled: THE ULTIMATE LADAKH EXPEDITION The Complete Rider’s Handbook Uncharted Himalayas · Volume 1 Ladakh: Beyond the Passes The Kora Expedition The manuscript is currently handwritten in an A5 spiral notebook, and I need someone to professionally turn it into a finished, publication-quality book. This is not simply an itinerary. It is a combination of a motorcycle expedition handbook, travel narrative, field journal, and photographic travel book, documenting my 12-day solo motorcycle journey through Zanskar and Ladakh. What I need 1. Manuscript editing Transcribe my handwritten manuscript into digital ...

I want to build an AI-driven system whose sole focus is content creation. I am still flexible on the exact architecture—whether th...you: • A clear proposal outlining the model stack you would use (e.g. GPT-4, Llama 2, Stable Diffusion, or your own fine-tuned variant). • A small proof-of-concept that ingests a prompt and returns publish-ready output. • Documentation describing setup, retraining, and how I can scale the system once the POC is approved. Acceptance criteria: the demo must run locally or on a standard cloud notebook, generate unique content on at least three separate prompts, and include concise comments or inline explanations so I can follow the workflow. If you have previous examples or a quick demo link, feel free to share them so I can see...

I’m building a new AI-driven pipeline that ing...without your help. Deliverables • A fully functioning preprocessing and feature-engineering module (cleansing, deduplication, outlier handling, enrichment) • At least one end-to-end example notebook or script that pulls a sample data set, runs the pipeline, trains a basic model, and outputs results ready for visualisation or reporting • Clear setup instructions plus inline comments so new analysts can follow every step Acceptance criteria 1. I can point the pipeline at a different CSV source and rerun it without errors. 2. An inexperienced team member can reproduce the example notebook on a fresh machine using only the README. 3. Code quality meets PEP 8 standards and every transformation ...

AI Model Integration – Local and Cloud Support The system should support both cloud-based AI models and locally hosted models. The goal is to give us the flexibility to use a powerful cloud model when needed or run the entire system privately on a local machine or server. Local and Self-Hosted Models The system should support local AI model platforms such as: Ollama LM Studio vLLM Hugging Face models Other local LLM servers or OpenAI-compatible APIs The developer should ensure compatibility with popular open-source models, including: Llama Mistral Qwen Gemma DeepSeek Other suitable open-source models Cloud AI Models The system should also support cloud-based AI providers, including: OpenAI Anthropic Claude Google Gemini The AI architecture should be flexible enough to...

...chemical fingerprints. Here is what I need you to build now: • A model or pipeline that ingests raw or pre-processed data from techniques such as LC-MS, GC-MS, or NMR and matches the signature to the correct species. • Tight integration with reputable existing chemical databases so the model can cross-reference compositions in real time. • A lightweight interface (CLI, small web app, or notebook) that lets me upload spectra or tabulated peak data and returns the species name alongside a confidence score. • Clear documentation of the data schema, preprocessing steps, and every dependency so I can reproduce the workflow inside my own lab environment. Accuracy and transparency are critical: please include the metrics you will track and the valid...

...handling missing or corrupt rows, tokenising, and producing features that make sense for downstream modelling. Once the data quality is reliable, I want a working machine-learning model built on top of it—preferably in Python using well-established libraries such as pandas, scikit-learn, spaCy or a comparable NLP stack. Here is what will let me sign off on the job: • A reproducible script or notebook that takes the original CSV files, cleans them, and outputs a tidy, feature-ready dataset. • A trained text-based model (classification or clustering—I'll decide with you after an initial review of the data) with clear performance metrics and a brief explanation of how you tuned it. • A short read-me or comments in the code that explain each st...

I need a...logs for later analysis. A simple dashboard that charts those three metrics over time (and flags any drift) will be enough for the first milestone; we can expand into full monitoring once the core evaluator is solid. Key deliverables • An API (language-agnostic, REST or gRPC) that ingests an agent and a test dataset, then returns Accuracy, Precision-Recall, and F1 Score • A small web UI or notebook template that visualises those results and allows reruns • Containerised deployment instructions so I can spin the whole stack up locally or in the cloud If you have a preferred framework—FastAPI, Flask, Django, or something similar—let me know. What matters most is clean, well-documented code and a result I can extend later into full desi...

...own. The job breaks down into three clear pieces: 1. Design an evaluation pipeline that captures the usual classification/regression metrics and can be adapted to new datasets with minimal code changes. 2. Wire in a benchmarking step so I can see how alternative algorithms or configurations stack up side-by-side—speed and accuracy both matter. 3. Deliver a working prediction script or notebook that reproduces the best-performing setup from the benchmark and outputs predictions in a clean, documented format. I’m comfortable with either Python (scikit-learn, Pandas, Jupyter) or R (caret, tidyverse) if those are your preferred tools; custom code in another language is acceptable as long as it’s well commented and easy to run. Acceptance criteria &b...

I want to turn...hyper-parameter tuning to squeeze out extra performance. Because this is strictly a classification task, success is measured by precision, recall, F1 and a well-calibrated ROC-AUC on a hold-out test set. I’d also like a brief explanation notebook so non-technical stakeholders can understand how key features influence the prediction. Deliverables • Clean, commented source code and environment file • Trained model artefact (pickled or equivalent) • Evaluation report with the metrics above and confusion matrix visuals • Short Markdown or Jupyter notebook highlighting feature importance and usage instructions If you can optionally add a lightweight REST endpoint (FastAPI or Flask) for real-time predictions, let me know—t...

Multi-Agent Character Ensemble. I have a working but unfinished Python notebook that stages a conversation between AI-driven characters. I now need it checked and corrected so it meets the brief of my micro-assignment. Timeline Everything must be delivered no later than Tuesday, 25 August 2026 at 20:00 BST. I will provide the current repository link as soon as we agree to proceed.

...measure, visualise, and compare the growth trajectory of multiple equity instruments over time. The model should ingest clean price-action information alongside any fundamental or market-wide inputs that improve explanatory power, then output clear growth curves and relative-performance metrics that can be refreshed on demand. Here’s what I expect to receive: • A well-documented modelling script or notebook (Python, R, or a similar analytical language) that pulls data from at least one reliable source—financial reports, historical price databases, live market feeds, or a combination—then normalises and merges those streams. • A set of functions or classes that calculate cumulative growth, volatility-adjusted returns, and peer comparisons across chos...

I’m putting together a limited-run of plain notebooks and want two collectible covers: one inspired by Batman, the other by Spider-Man. Think classic comic nostalgia rather than modern movie gloss—aged textures, halftone dots, and a slightly worn, vintage paperback feel. Both covers should sit comfortably in neutral tones so they look refined on a shelf or desk, yet still read unmistakably as superhero editions. To keep them instantly recognizable I’ll need three things woven in harmoniously: • a stylised character illustration (full figure or striking silhouette is fine) • the official logo for each hero • a short, punchy quote or tagline that fits the mood I’m not after a cluttered, graphic-heavy layout—subtle balance is key. Final fil...