Notebook lmemplois

...complète : je dépose un scan 3D brut, l’IA le transforme sans intervention humaine en un modèle propre, optimisé et prêt à être exploité. L’objectif immédiat est donc la génération automatique à partir d’images issues de scans 3D. Pas d’architecture, pas de personnages pour l’instant : je me concentre sur cette source d’entrée spécifique. Ce que j’attends : • un prototype fonctionnel (script, notebook ou service) capable de prendre un fichier de scan, le pré-traiter, reconstruire la géométrie, nettoyer le maillage et, si possible, produire un format standard (OBJ/FBX/GLB). • le code commenté, les mod...

...recommandations claires pour améliorer l’efficacité. Python (pandas, NumPy, Matplotlib), MATLAB, PVsyst ou NREL SAM conviennent tous à condition que chaque étape soit reproductible et dûment commentée : je dois pouvoir relancer votre script et obtenir les mêmes graphiques. Deliverables • Rapport analytique d’environ 10–15 pages détaillant méthodologie, résultats et pistes d’optimisation. • Notebook, script ou tableur générant automatiquement tableaux et figures. • Brève présentation (4–6 diapositives) résumant les conclusions pour un exposé de cours. Acceptance criteria Les calculs se ré exécutent sans e...

Je prends en charge, dès réception...insights clairs. Vos jeux de données numériques, textuels et même vos images seront traités dans un pipeline cohérent : nettoyage, préparation, sélection de variables, entraînement, évaluation puis export du modèle prêt à être déployé. J’utilise couramment pandas, scikit-learn, TensorFlow/Keras et Jupyter ; je peux également intégrer votre stack existante si besoin. Livrables sous 24 h : • Notebook ou script Python entièrement commenté • Rapport concis sur les performances (métriques de classification, interprétabilité) • Recommandations d’améli...

...données pour m’aider quelques heures par semaine à transformer nos chiffres en décisions concrètes. Votre rôle • Extraire et consolider les données de nos sources internes (bases SQL, exports CRM, feuilles Excel). • Nettoyer et structurer les jeux de données afin de garantir leur fiabilité. • Produire des analyses descriptives et des tableaux de bord clairs dans Power BI, Tableau ou un notebook Python/Pandas. • Mettre en lumière les tendances clés et rédiger un court résumé d’insights à chaque livraison. Ce que j’attends – 10 à 15 h de travail récurrent par semaine, horaires flexibles. – Maîtrise d...

Je cherche un ingénieur électricien qualifié pour une mission courte sur l’analyse de l’efficacité énergétique avec MATLAB/Simulink. L’objectif est de modéliser mon système électrique, réaliser les simulations nécessaires et extraire des indicateurs clairs montrant les pertes d’énergie et comment améliorer l’efficacité glo...nécessaires et extraire des indicateurs clairs montrant les pertes d’énergie et comment améliorer l’efficacité globale. Travail uniquement sous MATLAB et Simulink. Après validation du modèle, je souhaite des résultats concis avec des recommandations pratiques pour optimiser le syst&...

...s’appuieront sur mon propre serveur IA (via API locale). techniquement je pense avoir besoin des éléments suivants(vous allez peut être m’orienter si vous avez une autre approche ou des suggestions ; je suis ouvert ) • Installation & configuration de n8n (auto-hébergé accessible via un nom de domaine que je mettrai à disposition). • Installation d’un modèle IA performant (type LLaMA, Mistral, Ollama, LM Studio, etc. ; accessible également via un nom de domaine ). • Mise à disposition d’une API locale stable et exploitable par mes futurs outils/SaaS. • Conseils sur le choix du modèle IA selon mes besoins (coût en ressources, pertinence…). • Docum...

Le projet consiste à rendre consultable à partir d'un lien url ou d'un chatbot un notebook que j'ai créé avec NotebookLM. En effet, Google ne permet le partage qu'avec une personne disposant d'un compte Google et donc d'une adresse gmail. Il faut trouver un moyen de programmer un accès à ce Notebook via une interface ou un chatbot. L'objectif étant de proposer ce service sur mon site web. Le candidat devra me montrer qu'il est arrivé à le faire pour un Notebook qu'il a réalisé lui-même. Ensuite, je lui donnerai accès à mon Notebook et il me proposera un moyen de partager mon Notebook avec un accès public pour...

Le projet consiste à rendre consultable à partir d'un lien url ou d'un chatbot un notebook que j'ai créé avec NotebookLM. En effet, Google ne permet le partage qu'avec une personne disposant d'un compte Google et donc d'une adresse gmail. Il faut trouver un moyen de programmer un accès à ce Notebook via une interface ou un chatbot. L'objectif étant de proposer ce service sur mon site web. Le candidat devra me montrer qu'il est arrivé à le faire pour un Notebook qu'il a réalisé lui-même. Ensuite, je lui donnerai accès à mon Notebook et il me proposera un moyen de partager mon Notebook avec un accès public pour...

Bonjour, besoin d'un développeur pour un site sur lequel l'ont peut choisir un modèle et générer des CV ou encore des lettres de motivation. Comme celui-ci Hello, need a developer for a site where you can choose a template and generate CVs or cover letters. Like this one

make personal notebooks with a Professionelle cover design that relates to customer demand

Je m’appelle Said et je cherche un formateur de programmation français .pour me réaliser une formation, serait diffusée sur YouTube juste votre écran et votre voix je veux une forma...les fondamentaux de la programmation dans Python -prise en main et installations -opérations basiques en python -variables -chaînes de caractères -fonction input -les indices -les booléens et opérateurs logiques -opérateurs de comparaison -le branchement conditionnel if -boucles for et while -les listes -les dictionnaires -les fonctions Phase 2 : Python pour la Data Science -dataframe -Jupyter notebook -pandas -Matplotlib -Scikit-learn -Autres librairies très importantes -Réalisation de projets. 4 projets Po...

Je m’appelle Said et je cherche un formateur de programmation .pour me réaliser une formation, serait diffusée sur YouTube juste votre écran et votre voix je veux une formation bien ...les fondamentaux de la programmation dans Python -prise en main et installations -opérations basiques en python -variables -chaînes de caractères -fonction input -les indices -les booléens et opérateurs logiques -opérateurs de comparaison -le branchement conditionnel if -boucles for et while -les listes -les dictionnaires -les fonctions Phase 2 : Python pour la Data Science -dataframe -Jupyter notebook -pandas -Matplotlib -Scikit-learn -Autres librairies très importantes -Réalisation de projets. 4 projets Pour le t...

...scikit-learn ici : ou sur le UCI machine learning repository : , et en réaliser l'analyse. On demande: un travail de clustering et un autre de classification, la comparaison de diverses méthodes, l'utilisation de plusieurs métriques, l'utilisation de techniques de réduction de dimension, l'écriture d'un notebook détaillé, incluant ce qui précède, à m'envoyer à la fin du module REGRESSION : Les données se trouvent sur : soit hebdomadaire : soit mensuelles : Il vous est demandé de comprendre l'influence des variables explicatives (météorologie, etc.) sur

...scikit-learn ici : ou sur le UCI machine learning repository : , et en réaliser l'analyse. On demande: un travail de clustering et un autre de classification, la comparaison de diverses méthodes, l'utilisation de plusieurs métriques, l'utilisation de techniques de réduction de dimension, l'écriture d'un notebook détaillé, incluant ce qui précède, à m'envoyer à la fin du module. REGRESSION : Les données se trouvent sur : soit hebdomadaire : soit mensuelles : Il vous est demandé de comprendre l'influence des variables explicatives (météorologie, etc.) sur

...with member card who is happy to be in diinero and image of the client with telephone with app Diinero. How is it working ? / Comment ca marche ? screen explications and App explications to know how to use it. ( like in App download with the differents screens) Download/ téléchargement how to download the App and compatibility like "Adventour" connect/ connectez vous social network ( like notebook connect) ...

As discussed.

...batteries totalement déchargées. Elles doivent réster stockées dans un état de charge maximales et ranger dans un endroit a température ambiante loin de la chaleur au sec et loin d'autres objets métaliques. 5. Ne court-circuit. Un court-circuit peut causer des dommages graves à la batterie de votre ordinateur portable. prolonger votre Batterie portable la vie 1. Ne rechargez votre batterie notebook décharge de la batterie quand. 2. Tenter Li-ion Batterie Asus A32-K93 pour vous ordinateur portable. Il peut fonctionner pas longtemps que le Li-Ion une. 3. Gardez votre ordinateur portable défragmentation régulièrement pour prolonger la vie de la batterie d'ordinateur portable. 4. Uti...

...REST endpoints are cleanly separated; this will let me expose the following Android-ready APIs later on: live-video analysis, image-file analysis and retrieval of disease-history logs. Deliverables • Python inference engine (TensorFlow/PyTorch + OpenCV acceptable) optimised for Raspberry Pi 5 • Django project with the described role system, templates and REST endpoints • Model-training notebook or script plus labeled dataset reference • Setup script or Dockerfile for one-step deployment on a fresh Pi • Brief README covering install, usage and endpoint documentation Acceptance criteria 1. Live camera stream on the Pi returns disease label and confidence <2 s per frame under normal lighting. 2. Image upload route returns the same JSON str...

...well-formatted CSV file. The focus is strictly on product information—no contact data or social media posts are required—so your crawler can stay lean and purpose-built. I already have a clear idea of the attributes I want captured (title, price, SKU, description, availability, image URL). Once we agree on the target sites, you can build a scraper, run it, and hand back the CSV along with the script or notebook so I can reproduce the results later if needed. Please let me know: • Which language or framework you plan to use (Python, Scrapy, BeautifulSoup, Selenium, Playwright, etc.). • How you’ll handle pagination, anti-bot measures, and site structure changes. • An estimated turnaround and any milestones you suggest. Accuracy, deduplicati...

I want to quantify how recent advances in artificial intelligence are influencing forec...time-series techniques—VAR, ARDL, error-correction, whatever proves statistically sound—provided the approach is fully documented and reproducible in R, Python, or Stata. Along the way, please explain every transformation, stationarity check, and specification test so that the methodology can be defended in an academic setting. Deliverables • Cleaned and commented dataset (CSV) • Script or notebook with all code and step-by-step comments • Forecast outputs plus a concise technical note (≈5 pages) summarising model selection, diagnostics, and the estimated AI impact on future GDP growth. I will review your code for reproducibility and the note for clarity...

I am just getting started with Python...practise writing clear, working code. The main areas I need to master are: • Basic syntax and data types • Control structures and functions • Libraries and modules Please structure the lessons so each concept is demonstrated with short examples, followed by hands-on exercises I can share back for review. I am happy to work in whichever environment you prefer—IDLE, VS Code, Jupyter Notebook—so long as I can replicate the workflow on my own machine. By the end of our time together I should be comfortable writing small scripts, understanding error messages, and knowing where to look next when I get stuck. If this sounds like a good fit, let me know how you would organise the sessions and what materials or...

We are seeking a professional freelancer to create a 30 second video. This project will include still images, music and a voice over, which will be supplied by the client. The freelancer must be able to understand English. The milestone will be released after the project has been approved by the client. The budget will not go beyond 60 USD. 0.0–3.5 sec Image: Messy desk, old notebook Words on Screen: “I started creating this journal… four years ago.” 3.5–6.5 sec Image: Flip through a stack of drafts Words on Screen: “I thought this would take a few months.” 6.5–8.0 sec On-screen text only Words on Screen: “Draft 69.” 8.0–9.0 sec ⏸ PAUSE (1.0 second) • No voice • Tiny zoom in 9.0–12.5 sec Image: Cros...

...stability, but please keep the core idea intact. OpenCV, NumPy, and scikit-image are the tools I already use elsewhere, so sticking to that stack will make adoption easiest. The code should be clean, modular, and fast enough to process typical 1080p sequences in real time or near real time on a modern CPU (GPU use is optional but not required). Deliverables • A self-contained Python module or notebook that loads the images, computes the score, and can be called from the command line with a folder path argument • Inline documentation and a short README explaining installation, expected folder layout, and the mathematics behind the normalization • A sample run on a small dummy dataset demonstrating that the score remains stable across frames of similar qualit...

...by my Python back-end (JSON is fine) – Handle throttling limits and session renewal gracefully Deliverables 1. Well-commented source code (language is your choice) that exposes functions such as get_market_odds(market_id) and get_market_status(market_id) 2. A short README explaining setup, key dependencies and how to extend to additional sports if needed 3. Proof-of-concept script or notebook that streams live data for at least one market in each listed sport for 10 minutes without disconnecting Acceptance I’ll consider the job complete once the script runs on my VPS, returns the requested fields for all four sports, and passes a 24-hour monitoring period with no authentication or rate-limit errors....

I have a steady stream of plain-...Speed matters: each hourly log is time-stamped and should be processed within the hour so downstream analytics always work with clean data. Your script or small tool should run from the command line, accept a path or file pattern, and write either a scrubbed copy or a parallel “” that my monitoring stack can ignore. Please package the work as follows: • A well-commented script or notebook ready to run • A concise README explaining dependencies and how to execute or schedule it • A short sample run (cleaned file or flagged output) that proves the anomaly filter is catching patterns, not just extreme numbers If you’ve tackled log anomaly detection before, especially on rolling hourly data, I’d love to...

...opened, the other side closed, and top drawers closed Desk with lower desk door opened, desk top opened, both desk sides opened, and top drawers closed Dimension & Technical Shots Desk fully closed, with overall dimensions clearly indicated Desk fully opened, with overall dimensions clearly indicated Usage / Lifestyle Shot Fully staged render demonstrating real-life use: Laptop and working notebook placed on the desk surface File folders placed inside the internal storage shelves Shot should clearly illustrate functionality, storage capacity, and practical use Deliverable Objective The final deliverables should clearly and professionally communicate: The desk’s folding and opening mechanisms All functional configurations Material quality and finishes Usab...

I need all relevant text pulled from a specific website and delivered in a clean, structured file. The so...manipulate later. A small sample first will help confirm we’re on the same page before you run the full extraction. Please use whatever stack you prefer—Python with BeautifulSoup or Scrapy, JavaScript with Puppeteer, or a tool that suits the task best—just be sure to respect and provide the code so I can rerun the process when the site updates. Deliverables: • Re-usable script or notebook with clear comments • Complete dataset containing all extracted text, delivered in my chosen format • Brief read-me explaining setup, execution, and any dependencies I’ll review the sample immediately and give quick feedback so we can kee...

I’m building a Python-based algo...event-driven callbacks for entry, exit and risk checks • Back-testing component producing equity curve and basic performance metrics (Sharpe, max drawdown) • Execution stub capable of paper trading via REST/WebSocket (live trade logic isolated for safety) • README showing setup, sample run for both modes and pointers on adding new strategies or data sources Acceptance: a short screen-capture or notebook proving (1) a back-test on historical data and (2) a live data subscription that feeds the same pipeline, each generating trade logs and summary stats identical in format. (1) pine script base trading copy past script (2) chartink screenerbase ( 3 ) strategy Builder base (4 ) equty and f &o base (5) co...

I’m refining a series of logistic-regression models in Python and would like hands-on guidance from someone who knows SciPy’s stats and optimize sub-modules inside out. My current notebook reaches acceptable accuracy, but I’m running into questions about link-function choices, solver stability, convergence diagnostics, and the best way to structure reusable helper functions. What I’d like from you • Review a short code sample (≈200 lines) that calls for a custom log-likelihood. • Explain, with examples, how to improve numerical stability and interpret the Hessian output for standard-error estimation. • Suggest parameter-regularisation strategies available directly in SciPy or via light dependencies I can bolt on. • Join one...

...frameworks such as PyTorch or TensorFlow, and you know the trade-offs between traditional filters, GAN-based approaches, and modern super-resolution networks. Experience packaging models for CoreML, TensorFlow Lite or similar mobile runtimes will set you apart. I’m most interested in seeing what you’ve already shipped, so please include past work that proves you can take an image-processing idea from notebook to app store. Deliverables • Clean, well-commented Python codebase and • Trained weights with reproducible training scripts • Mobile-ready wrapper (REST, gRPC, CoreML, or TFLite) • README with run instructions and basic quality benchmarks (PSNR/SSIM) Acceptance criteria: pipeline meets agreed-upon quality metrics on our validatio...

... This is a true proof-of-concept, yet the end result must be usable: after you finish I should be able to spin up the model locally, type a health-related question, and receive a sensible response in real time. Ths would be trained on a cloud instance with proper gpu setup (think runpods, lambda) Your task covers the dataset preparation, tokenisation, training, evaluation, and a tiny CLI or notebook demo—while keeping everything strictly open-source. If you believe there is a better public dataset than MedQuAD, propose it first; otherwise stick with MedQuAD. Please walk me through your prior experience with nanochat when you reply, because I need to gauge how quickly you can jump in. Deliverables • Clean, well-commented source code in a Git repo (Python, nanoch...

I will share a raw table of laboratory-measured water-quality parameters (pH, turbidity, dissolved oxygen, heavy-metal readings and severa...(scikit-learn, XGBoost or LightGBM are all acceptable) with solid cross-validation. • Compare its performance against at least one other tree-based approach so I can see the gains. • Deliver a concise report containing the final metrics (accuracy, precision/recall, F1, ROC-AUC) plus a short interpretation of the most influential parameters. • Hand over the cleaned dataset, Python scripts or Jupyter notebook, and the serialized model file so I can reproduce results on my end. Keep the code readable, add comments where decisions might need context, and structure the repository so I can drop in new samples later and get predi...

I’ve compiled six months of raw sales data and now need a sharp statistical mind to transform those numbers into a reliable forecast. The ob...the dataset, then apply time-series or other suitable predictive techniques in Python, R, or a comparable analytics environment. Please visualise the trends in clear charts (Matplotlib, Seaborn, ggplot2, or similar) and summarise your findings in a concise, non-technical narrative that management can act on immediately. Deliverables: • Cleaned and documented dataset • Reproducible analysis notebook or script • Forecast results with confidence intervals and visualisations • Brief report outlining methodology, assumptions, and actionable insights I’m happy to clarify any data quirks or business context yo...

...clean, reproducible Floquet framework that extracts the multipliers for each wavenumber and returns clear stability maps. You are free to work in MATLAB, Python (NumPy/SciPy), or Julia as long as the code is well commented and numerically robust—spectral collocation or a high-order finite-difference approach is fine as long as convergence is demonstrated. Deliverables • A runnable script or notebook that assembles the monodromy matrix for the periodic WIBL coefficients and computes the Floquet multipliers across user-defined parameter grids • Plots that highlight the predicted instability noses and stability islands, ready for publication (vector format preferred) • A concise technical note summarising the formulation, numerical method, verification ...

...clean, reproducible Floquet framework that extracts the multipliers for each wavenumber and returns clear stability maps. You are free to work in MATLAB, Python (NumPy/SciPy), or Julia as long as the code is well commented and numerically robust—spectral collocation or a high-order finite-difference approach is fine as long as convergence is demonstrated. Deliverables • A runnable script or notebook that assembles the monodromy matrix for the periodic WIBL coefficients and computes the Floquet multipliers across user-defined parameter grids • Plots that highlight the predicted instability noses and stability islands, ready for publication (vector format preferred) • A concise technical note summarising the formulation, numerical method, verification ...

...SQLAlchemy), tidy everything, then explore daily, weekly, and monthly patterns. Visualisations in matplotlib or seaborn and a concise written summary (PDF or Jupyter Notebook) will round out the story so stakeholders can quickly grasp how revenue is evolving and where seasonality or anomalies appear. Deliverables • Well-commented SQL scripts that reproduce the dataset • A Python notebook (or .py script) with all transformation and analysis steps • Three to five clear charts illustrating sales trends over time • A short insights report highlighting key findings and next-step suggestions Acceptance criteria The notebook runs end-to-end on my sample database, charts render without manual tweaking, and the report calls out at least two ...

...clean, reproducible Floquet framework that extracts the multipliers for each wavenumber and returns clear stability maps. You are free to work in MATLAB, Python (NumPy/SciPy), or Julia as long as the code is well commented and numerically robust—spectral collocation or a high-order finite-difference approach is fine as long as convergence is demonstrated. Deliverables • A runnable script or notebook that assembles the monodromy matrix for the periodic WIBL coefficients and computes the Floquet multipliers across user-defined parameter grids • Plots that highlight the predicted instability noses and stability islands, ready for publication (vector format preferred) • A concise technical note summarising the formulation, numerical method, verification ...

Need Azure Databricks admin training for interview. The class should start with the essentials—workspace deployment, cluster creation, notebook management and role-based access—but quickly move into the real-world problems we keep hitting, especially the “shuffle”-related errors that derail our Spark jobs. I’d also like practical advice on monitoring, scaling and cost-aware performance tuning so we can keep clusters healthy instead of firefighting after the fact. I’m expecting an interactive format delivered remotely (Teams or Zoom works), with hands-on labs that let attendees follow along in our own tenant. After the session I’d like to walk away with: • Slide deck or reference notes covering setup, troubleshooting and optimisatio...

...efficient, memory-savvy routine (pandas, NumPy, itertools, or any other high-performance approach you prefer) that can churn through roughly one hundred million comparisons without freezing up my workstation. Multithreading, vectorisation, or chunked processing—all are acceptable so long as they keep runtime practical and the output accurate. Deliverables • A well-commented Python script or notebook that performs the permutation matching on text data • A completed Excel file containing every identified match in a clear, tabular layout • A short read-me explaining any required libraries and how to rerun the job on new data I will test the script on my side with a control subset before running the full 10,000 × 10,000 sweep, so please make sure yo...

...Databricks, keeping the business logic intact and portable. No third-party or custom system integration is involved; every task stays within the databases themselves. Deliverables are: 1. Well-commented DDL/DML scripts for each environment. 2. Migration playbook detailing steps, tooling and gotchas. 3. Performance report comparing pre- and post-migration runtimes. 4. A single run-all script (or notebook for Databricks) that builds schema, loads sample data and demonstrates optimized queries. I will validate the work by running your scripts in fresh sandboxes, so clarity, portability and solid documentation are essential. Let me know your estimated timeline and any questions you need answered before we begin....

...bring in SQL for joins or look-ups if it expedites the process. For the analysis itself, I expect visualisations—line graphs, heat-maps, or cohort-style charts—generated in Matplotlib, Seaborn, Power BI, Tableau, or a comparable tool. Choose whichever gives the clearest story and is easiest for me to update later. Deliverables • A cleaned, consolidated dataset in CSV format • An editable notebook or script that reproduces the cleaning and trend calculations • A concise report (PDF or slide deck) explaining the trends, complete with annotated charts and a short narrative of key findings Acceptance criteria • No missing or duplicate customer IDs in the final dataset • All steps fully reproducible from raw CSV import to final visual...

...What I need is a complete analytical workflow: data cleaning, feature engineering, exploratory insights and, most importantly, a predictive model that flags patterns worth acting on. I am comfortable with you choosing proven tools such as Python (pandas, scikit-learn), R, SQL or similar; visual output in Tableau or Power BI is welcome if it speeds up interpretation. Deliverables • A documented notebook or script that ingests the full dataset and produces a trained model ready for deployment • A concise report (slides or PDF) highlighting key drivers behind the forecast and actionable recommendations • Optional dashboard or interactive visual that lets non-technical stakeholders inspect the forecasts Acceptance criteria – Model accuracy validated wit...

... PnL and key signals. • Simple config file for API keys, instrument whitelist, risk caps per trade and per session. Deliverables 1. Python 3.x source with inline comments and docstrings. 2. Quick-start README explaining environment setup, required packages (requests, pandas, numpy, ccxt or native DeltaExchange SDK, whichever you prefer) and example configuration. 3. A short back-test notebook or script that demonstrates the momentum logic on historical exchange data so I can validate its edge before switching to live mode. 4. One short hand-off call or text walkthrough to ensure I can run, tweak and extend the bot on my VPS. If you have already worked with DeltaExchange or a similar crypto venue, let me know; otherwise solid experience with exchange REST/WebSocke...

...All results have to be compiled into a single Excel sheet—one row per case—showing docket number, court, parties, filing and termination dates, outcome classification and the generated summary, with hyperlinks to the downloaded files stored locally or in an S3 bucket. Deliverables • Source code (Python preferred, but I’m flexible) with clear setup instructions • A working executable or notebook that performs the search and produces the Google sheets or Excel report • Sample run demonstrating retrieval of foreclosure cases filed in 2017–2018 and voluntarily discontinued by the lender • Brief README describing how to adjust search parameters and rerun the scrape Accuracy of the summaries and stability of the scrape against N...

...script should mirror ARC’s official rubric so results are directly comparable to the leaderboard. • Track sample efficiency: log compute time, number of queries, and score progression so we can see where improvements come from. • Deliver reproducible runs: a single command should download the data, load the model, run the search, and print the final score. Acceptance criteria •Re-running the notebook with y keys reproduces the accuracy numbers •Plots clearly show defult vs tuned accuracy • Codebase installs with `pip install -r ` and runs on a single GPU. • Clear README explaining how to tweak evolutionary parameters for further experimentation. • document each expirements steps clearly The sooner we can iterate, the better&mda...

I already have each cover design finalised; what I need now is the full creative treatment so the range is ready for any ecommerce shelf. Your job is to turn those flat files into photo-real images of spiral-bound notebooks, then organise those images into A+ content that sells. The renders must clearly look spiral-bound and be supplied in three essential perspectives—front, side and top—so shoppers can judge thickness and build at a glance. Alongside the hero shots, please include close-up crops or call-outs that emphasise material quality, number of pages and paper type. These specification visuals are critical for marketplaces such as Amazon, Flipkart or Shopify because they replace the feel-in-hand experience. I will deliver: • High-resolution cover artwork for every...

...Your first task is to recreate the logic in Python, or C++ back-test it over robust historical data, and present objective metrics—equity curve, max drawdown, Sharpe, win-rate, and any other insights you feel are useful. Deliverables • Clean, well-commented Python script of the strategy will need to have a good command of Quant Connect platform • Comprehensive back-test report (PDF or notebook) showing data sources, parameters tested, and performance stats • Automation module wired to Interactive Brokers, with instructions so I can launch it locally or on a VPS • Short call or video walkthrough to confirm everything compiles, connects, and trades as expected If you’ve worked with pandas, backtrader, zipline Quant Connect platform , o...

I will share a purely categorical dat...classification models. Sound evaluation—accuracy, precision, recall, F1 or any metric you judge relevant—must accompany the models, followed by a concise discussion of the results and why a particular approach performs best. Please highlight your experience with similar projects when you respond; I value demonstrated know-how over long proposals. Deliverables I expect: • A well-commented Jupyter notebook covering EDA, preprocessing, model training, and evaluation • The cleaned dataset (or the code that generates it) • A brief markdown or slide deck that walks through the methodology, findings, and recommended next steps Clarity of explanation is just as important as model accuracy, as the primary goal is l...

I need a Google Colab notebook (Python) that extrcts the main written content from a web page while excluding non-essential elements, so I can consistently analyse primary text across different site types. Scope of work - Deliver a reproducible Google Colab notebook that takes a URL and returns main page text. - Provide extract_main_text(url, N) that returns the key content limited to the first N words/characters. - Prioritise body content and filter boilerplate (nav, headers/footers, sidebars, cookie banners, ads), handling varied page structures (not only <article>). Show less Additional information The notebook should let me enter a URL and N, then output clean, copy/paste-ready text (optionally include the page title).

...(pandas, SciPy, or a comparable library), then weave the statistical interpretation seamlessly into the discussion section. • Ensure every citation, table, and figure aligns with Chicago guidelines and that all references are cross-checked for accuracy. Acceptance criteria • Clean, publication-ready manuscript (tracked-changes + final version) in .docx format. • Reproducible analysis file or notebook with commented code and outputs. • Updated reference list that passes automated Chicago-style validators. • Brief summary (one page) explaining major edits and analytic decisions. If you bring field-specific insight, that’s a bonus, but first and foremost I’m after rigorous structure, airtight argumentation, and flawless presentation. ...