Notebook lmpekerjaan

Kami ingin mengampanyekan 14 tindakan positif..beberapa alat kampanye yg ingin kami gunakan adalah video, banner, notebook, kaos, dll.

Antivirus bagian hal terpenting bagi kita. Kenapa bagian yang terpenting bagi kita terutama para pengguna Windows? Karena Antivirus adalah Security yang menjaga system di komputer atau notebook kita agar tidak terserang virus atau malware yang banyak sekali bertebaran di internet atau removable disk yang pernah kita gunakan. Sebagian besar kita adalah pengguna internet gratis? benarkan? ya kenapa kita lebih memilih internet gratis dibandingkan internet yang berbayar? ya pastinya kita tau jawabannya tentang hal itu. Internet gratis itu memiliki kekurangan dan kelebihannya. Benar bukan? seperti contoh yang saya berikan yaitu Trik internet gratis melalui Simple server, ISPCE, dan Ultrasurf. Pasti kalian sudah tidak asing lagi dengan software-software yang saya sebutkan diatas. Apa k...

... Here’s how the workflow looks: • Build a Python notebook that loads the three models from Hugging Face (PyTorch backend), pipes the Arabic prompts through Garak, captures logits and full responses, and writes everything to tidy CSV files. • Include bilingual testing so the notebook can toggle between the original English prompts and their Arabic counterparts, allowing side-by-side success-rate comparison. • Produce a concise pandas analysis section that calculates and visualises attack success percentages per model and per language. • Document every step—from model acquisition commands to translation strategy and evaluation metrics—in markdown cells so the methodology is fully reproducible. Acceptance criteria • ...

...you to pull and clean the data, run robust trend analysis in Python (Pandas, NumPy, preferably some Matplotlib or Seaborn visuals), and package the insights so they are easy for our planners to act on. Time-series forecasting or demand planning frameworks aren’t required right now, but please structure the code so we could layer those in later if needed. Deliverables: • Well-documented Python notebook or script that connects to our SQL source, performs the trend analysis, and generates clear charts/tables. • A concise slide deck or PDF summary highlighting key inventory trends, anomalies, and suggested next steps. • A short hand-off call or Loom walkthrough to explain your methodology and how we can reproduce or extend it. Accuracy, clean code, and busi...

...SQL. The immediate aim is to connect to the cluster (YARN/HDFS with Hive metastore), develop or refine PySpark jobs, optimise the accompanying SQL, and make sure everything runs smoothly end-to-end. You’ll receive access to a staging namespace plus a sample of the data. Once the logic checks out we’ll promote the code to the full environment. Deliverables • A clean, well-commented PySpark notebook or .py job that executes successfully on the cluster • The corresponding SQL script or view definitions ready for Hive or spark-sql • A concise README detailing execution steps, parameters, and expected outputs Acceptance criteria • Jobs finish error-free on a 100 GB test slice • Performance meets the runtime target we agree on before ...

...best. A pre-trained backbone such as ResNet, MobileNet, or Vision Transformer is fine as long as you include the full training pipeline so I can continue to improve the model with fresh data. Deliverables 1. Source code with clear, commented modules for detection, embedding generation, and similarity matching. 2. Pre-trained weights ready for immediate inference. 3. A small demo app or notebook that shows: – live webcam/CCTV inference, – batch search across a folder of photos, and – a simple REST or gRPC endpoint that returns face locations and a similarity score. 4. Written setup guide plus concise API documentation. Acceptance criteria • ≥ 95 % precision / ≥ 90 % recall on the LFW or a comparable public dataset. • M...

...catalogue content; what I need is the actual online store built and wired up. Core scope • Build the storefront UI so visitors can browse the men’s collection. • Each product page must offer dynamic size and colour selection that feeds straight into the cart logic. • Deploy and run everything inside AI Studio so I can present the project from a single, self-contained workspace (code, data and notebook if needed). Tech notes AI Studio can host standard web stacks, so feel free to work in React, Vue, plain Django templates, or another lightweight framework—just keep dependencies reasonable so the environment launches quickly. Client-side state management is fine, but server-side persistence (even a simple SQLite or JSON store) is required so t...

...with the data space, discover coherent groups, and maximise a reward function that reflects intra-cluster similarity and inter-cluster separation. Here is what I need from you: • Clean, well-commented code (Python preferred) that builds the reinforcement environment around the categorical features, implements the agent, and trains it until a stable set of clusters emerges. • A brief report or notebook showing how the reward signal is defined, how you tuned hyper-parameters, and how the resulting clusters can be interpreted or visualised. • Clear instructions so I can reproduce the run on my machine—package versions, command-line calls, and any preprocessing steps. If you have previous experience combining Reinforcement learning with clustering or handl...

I have a bilingual data set of 1,000 sentences that is already translated. What I need now is a clear, defensible lingui...outliers that deserve human review. • Share the clean, reproducible code you use—Python notebooks or scripts are fine so long as they run end-to-end on my side without extra setup beyond standard packages (e.g., SacreROUGE, NLTK, or Hugging Face tools). I will provide: – The 1,000 source sentences – Their current translations (reference) You return: 1. The ROUGE evaluation script/notebook 2. The scored output file for all 1,000 lines 3. A short read-me or inline comments so I can rerun or adapt the workflow later This is a self-contained task; once I verify that the script reproduces your numbers and the explanatory no...

... analysing the data on the fly, then producing a polished narrative report—charts, key metrics and a short executive summary—all in one go. The brief in a nutshell • Main use of generative AI: end-to-end automation of a task that is still done manually. • Process to automate: report generation (specifically sales reports). What I expect from you 1. A well-structured Python script or notebook that reads the daily CSV feed, calls the AI model (OpenAI, Claude, or another you recommend) to create the commentary, and outputs a PDF or HTML report. 2. Clear instructions on any required API keys, libraries and environment variables so I can run it on my own machine or a small server. 3. Concise documentation of the code flow, plus a couple of sample ru...

I need a complete machine-learning pipeline that can look at medical image...Keras, or PyTorch is fine), training, and evaluation. Please include class-balanced splits, explain any preprocessing you apply, and show the metrics you achieve on an unseen validation set. Deliverables • Python code with clear comments for preprocessing, training, and inference • Trained model weights ready for deployment • A short report (or notebook) summarising accuracy, confusion matrix, and any tricks you used • Simple CLI or notebook that lets me drag-and-drop new chest, abdomen, or extremity X-rays and get the predicted class If you already have experience with radiology datasets or have tackled similar chest/abdomen/extremity X-ray projects, mention it—sp...

...pathology. Here is what I already have and what I expect from you: • A curated folder structure with several thousand labelled PNG and DICOM files that you can download from my secure server. • A preference for Python with either PyTorch or TensorFlow/Keras—use whichever framework you feel will achieve the best accuracy and fastest inference on a modern GPU. • Clean, reproducible code (Jupyter notebook or script) plus a short README that explains environment setup, training commands, and how to run inference on a single file or a batch. • A trained model file and a simple inference function/CLI that returns the predicted class and confidence score. Acceptance criteria 1. Top-1 accuracy ≥ 95 % on my held-out validation set. 2. No patient-...

We...will be online on Fridays, Saturdays, and Sundays, any 1–2-hour slot you prefer between 5 pm and 8 pm IST. A strong mix of digital whiteboard explanations, concise PowerPoint slides, and live screen-sharing is essential so the learners can both follow the theory and handson real time kind of scenario. For each session I will need: • well-structured slide deck or whiteboard notes • the live notebook , console etc sharing during class Sessions should be practical, interactive, and paced for absolute beginners. I offer ₹500–1,000 per session depending on the depth of preparation and clarity of delivery. If you’re comfortable with this range, please tell me which evenings you can commit to and share a brief outline of how you would split the topics...

...Brand Identity Kit • Brand color palette (HEX, RGB, CMYK codes) • Primary and Secondary font details • Logo spacing guidelines • Minimum size usage rules • Mini brand guideline PDF 4. Business Stationery Design • Business Card (Front & Back) • Letterhead • Envelope • Invoice template • Email signature design 5. Office & Promotional Materials • Lanyard design • ID Card design • Folder design • Notebook cover • Pen branding • T-shirt design (Front & Back) • Cap design • Office signage board • Laptop sticker • Office door name plate 6. Digital Assets • LinkedIn banner • Website header version • WhatsApp display picture version • Email banner • Soci...

I need a PDF document with over 21 pages copied onto a notebook. Ideal skills and experience: - Attention to detail - Neat handwriting - Ability to follow instructions

...written in MATLAB or Python; please keep it modular so I can swap parameters and integrate rapidly with my existing acquisition software. To keep expectations clear, here’s what I would like handed over: • Well-commented source code that processes sample FMCW data from raw time-domain files through to range-Doppler (and, if practical within schedule, angle) outputs. • A concise README or Jupyter notebook explaining each processing stage and how to adjust sweep parameters, sampling rates, and window types. • A short test report—plots or tables summarising performance on the supplied dataset—so I can verify results match your code. Clean, maintainable code and reproducible results are more important to me than extensive documentation; clari...

Harga emas Antam baru saja menembus Rp2.954.000 per gram, dan lonjakan ini memicu pertanyaan kapan saat terbaik untuk melakukan buyback. Saya membutuhkan sebuah laporan prediksi harga emas di masa mendatang yang berfokus pada perkiraan pasar emas global. ...Ringkasan eksekutif set- rangkuman satu halaman. 2. Laporan analitis 8–10 halaman berisi: • Metodologi peramalan (model ekonometrik, skenario optimis-basis-pesimis). • Grafik harga emas historis vs. proyeksi. • Dampak variabel makro utama terhadap harga. 3. Rekomendasi praktis untuk investor ritel di Indonesia tentang waktu buyback optimal. Format: PDF dan file sumber (Excel/Notebook) agar saya bisa menelusuri perhitungan. Ketepatan data dan argumentasi yang jelas lebih saya utamakan da...

...The classes will be online on Fridays, Saturdays, and Sundays, any 1–2-hour slot you prefer between 6 pm and 9 pm IST. A strong mix of digital whiteboard explanations, concise PowerPoint slides, and live screen-sharing is essential so the learners can both follow the theory and code along in real time. For each session I will need: • well-structured slide deck or whiteboard notes • the live notebook / script you write during class • a short, working demo project or exercise our trainees can extend after the call Sessions should be practical, interactive, and paced for absolute beginners. I offer ₹500–1,000 per session depending on the depth of preparation and clarity of delivery. If you’re comfortable with this range, please tell me which ...

...(Hugging Face, arXiv, GitHub) to spot promising architectures and training techniques. - klaud8 / hrm ai / chat gpt / claude — Spin up controlled experiments in Python using PyTorch/TensorFlow, comparing baseline performance with fine-tuned variants on representative datasets. — Optimise inference speed, memory footprint, and prompt-engineering workflows so models transition smoothly from notebook to production API. — Document findings in concise experiment reports and integrate successful models into our existing CI/CD pipeline. Deliverables 1. A living benchmark report that ranks at least five candidate models per task on accuracy, latency, and cost. 2. Clean, reproducible training scripts plus environment files (Docker/Conda) for every retained mod...

I'm...seeking an experienced game developer to create "Continental Drive" for PS5 and Xbox. This open-world game encompasses all seven continents, including the Caribbean, with a focus on lifestyle and driving. Key requirements: - Both first-person and third-person perspectives - Realistic driving mechanics - Character customization - Interactive environments - Additional features from my detailed notebook - This Game Will Use Controllers and Steering Wheels Ideal Skills & Experience: - Proficiency in console game development - Expertise in open-world game design - Strong understanding of driving mechanics - Experience with character customization and interactive environments - Ability to translate detailed concepts into a playable game Please share your portf...

I’m preparing a one-piece, artificial-leather cover for an A5 notebook and I need the cut-ready artwork supplied in both DXF and SVG. The visual style must be geometric; beyond that I’m open to your creative direction. No stitching holes or decorative perforations are required—only the elements the laser has to cut or lightly score. What I need from you • A precise vector layout sized for a folded A5 cover (finished page 148 × 210 mm). • Separate layers (or clearly differentiated line colours) for full-depth cuts and light score/fold lines. Because I don’t have a fixed fold plan, please propose a practical hinge arrangement that keeps the spine flexible yet tidy. • Clean geometry: avoid overlapping paths, double lines, or nodes tha...

...are fine) that walks through data profiling, outlier handling, and any necessary feature engineering. • Compelling visualizations—think sales trends, category performance, customer behaviour—that can be dropped straight into a slide deck or shared as an interactive report (Tableau, Power BI, or a notebook with embedded visuals). • A short written summary explaining the main take-aways in plain English, suitable for a non-technical stakeholder. Acceptance criteria 1. Reproducible code / notebook that runs end-to-end on the supplied CSV/Excel files. 2. At least five high-quality, well-labelled plots covering sales over time, top products, geographic or customer segmentation insights, and any surprising anomalies. 3. Final report or dashboard ...

...mandatory; if you notice other useful fields while you scrape we can discuss whether to add them, but the core deliverable must not be delayed. This is a one-time scrape, so focus on accuracy rather than building an updating pipeline. The finished CSV should have 6,683 complete rows, no duplicates, clean text (UTF-8), and the columns in the order listed above. Please also supply the source script or notebook you use so I can rerun it if necessary. Let me know your estimated turnaround and any technical clarifications you need before starting....

...and promoted automatically through a Bitbucket Pipeline. All source data arrives via GraphQL APIs, so the job includes handling authentication, pagination, and schema inference before landing raw payloads in Delta tables. A dedicated cleaning stage must then standardise and validate the data before it moves on to the curated layer. The structure should be modular—ideally a bronze/silver/gold notebook hierarchy—so I can slot in new sources or extra transformations without touching the core logic. I also want a lightweight Python package (wheel) that wraps the GraphQL connector and can be attached to any cluster. Acceptance criteria • Parameter-driven notebooks organised by layer. • Reusable GraphQL connector packaged as a .whl. • Bitbucket Pipeli...

...immediate focus is on AgenticAi and GenAi as well as Programming and coding, all in Python. Most of the problems revolve around making agentic tools and doing the coding product, then pushing them into production-ready scripts or notebooks. Help me structure features, debug loops, and explain best practices as we go. Typical session flow • A quick review of the day’s project goal (shared repo or notebook) • Pair-programming or walkthrough while I implement the next milestone • Recap with actionable homework and resource pointers I learn fastest when you: • Think out loud so I grasp the “why”, not just the “how” • Share shortcuts, library choices and architecture tips that reflect industry standards • Leave ...

...the right compute targets, and organise experiments. • Build an evaluation workflow that logs metrics, registers the best model, and makes results easy to visualise and share. We’ll work through shared sessions(need to check if this can be shared) and brief code reviews, with you explaining the reasoning behind each step so I can replicate the process independently later. A concise, commented notebook or summary doc that captures the key commands and concepts will wrap up the engagement....

...PyTorch, TensorFlow, or other libraries, provided the final solution installs cleanly with a and runs from a single entry-point script or Jupyter notebook. Input will be folders of images; no video or live feed integration is required at this stage, but laying groundwork for future expansion is a plus. I will supply a labeled image set for benchmarking and expect a short report showing accuracy improvements and speed comparisons versus the current baseline. Deliverables • Refactored Python code with the three enhancements fully integrated • Requirements file and concise setup instructions • Demonstration notebook or CLI script that reproduces the results on my test set • Brief performance/accuracy report and recommendations for next steps Acce...

... While Home Assistant is the immediate focus, I also keep Google API and Gorq API integrations on the roadmap, so designing the code in a way that lets me add further REST endpoints later would be a bonus. Deliverables • Fully commented Python code (Python 3.10+) that authenticates and performs the core CRUD operations against the Home Assistant API. • A short demo script (CLI or Jupyter notebook) that shows the module in action. • README explaining setup, dependencies, and example calls. Acceptance criteria • I can run the demo script locally, pass in my Home Assistant URL and token, and see entity state updates reflected in the dashboard. • Code follows PEP 8, runs without warnings, and contains docstrings for each public method. • Al...

...image, text, and numeric signals into a single forecasting pipeline and demonstrably outperforms strong baselines. Key expectations • End-to-end experimentation code (Python, PyTorch or TensorFlow) with clear data loaders for each modality • Custom model implementation with commented rationale for design decisions • Reproducible training scripts, hyper-parameter configs, and a validation notebook that plots forecast accuracy against standard baselines • Final technical report summarizing methodology, results, and potential publication avenues Acceptance criteria • Forecast MAE or MAPE improvement over baseline multimodal fusion of at least X% on my held-out test set (exact target set during kickoff) • Ablation study proving the contribu...

...containing a handful of miscellaneous questions. Inside that page you’ll see a ready-made AI prompt; simply paste each question into the prompt, copy the generated answer, drop it back into the worksheet, and shoot me a quick message when everything is filled. The routine takes about 20–30 minutes, and new sheets arrive almost every day. I’ll give you OneNote access so you can work directly in my notebook; the worksheet itself comes to you as an email attachment, so a stable inbox and internet connection are essential. No research or subject knowledge is needed—this really is straightforward copy-and-paste work—but basic English reading helps keep the flow smooth. Every worksheet must be turned around within 48 hours of receipt. Consistency and re...

I need a concise, well-documented Python workflow th...average order value, cohort retention, and any other meaningful customer behaviour metrics • generate charts or interactive visuals that I can drop straight into presentations (matplotlib, seaborn or Plotly are fine) • export a short written summary of findings, ideally as a Markdown or PDF report Pandas, NumPy, and a mainstream visualisation library are expected; if you prefer a Jupyter Notebook that’s perfect, but a standalone .py script with comments also works. Keep the workflow modular so I can feed in new monthly data without rewriting sections. Once delivered, I should be able to run everything locally with a single command, point it at fresh CSVs, and receive both the cleaned dataset and the updated...

...containing a handful of miscellaneous questions. Inside that page you’ll see a ready-made AI prompt; simply paste each question into the prompt, copy the generated answer, drop it back into the worksheet, and shoot me a quick message when everything is filled. The routine takes about 20–30 minutes, and new sheets arrive almost every day. I’ll give you OneNote access so you can work directly in my notebook; the worksheet itself comes to you as an email attachment, so a stable inbox and internet connection are essential. No research or subject knowledge is needed—this really is straightforward copy-and-paste work—but basic English reading helps keep the flow smooth. Every worksheet must be turned around within 48 hours of receipt. Consistency and re...

...image, text, and numeric signals into a single forecasting pipeline and demonstrably outperforms strong baselines. Key expectations • End-to-end experimentation code (Python, PyTorch or TensorFlow) with clear data loaders for each modality • Custom model implementation with commented rationale for design decisions • Reproducible training scripts, hyper-parameter configs, and a validation notebook that plots forecast accuracy against standard baselines • Final technical report summarizing methodology, results, and potential publication avenues Acceptance criteria • Forecast MAE or MAPE improvement over baseline multimodal fusion of at least X% on my held-out test set (exact target set during kickoff) • Ablation study proving the contribu...

...handles cleaning and tokenisation, and trains an accurate classifier. Python is the preferred language; using PyTorch, TensorFlow or another mainstream framework is fine as long as the solution is reproducible and easy to extend. Key deliverables: • Well-commented source code (data loading, model, training loop, evaluation) • Clear instructions to run training on a fresh machine (README or notebook) • Metrics report showing accuracy, precision, recall and F1 on a held-out set • Exported model weights and a small inference script or API endpoint for batch prediction Trained embeddings (e.g., BERT, RoBERTa) are acceptable, but if you opt for lighter models please ensure comparable performance. Provide any custom preprocessing utilities you write. When y...

...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...

...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...

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 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 ...