Notebook lm jobs
I need a Python-based trading algorithm that trades both the Nifty and Bank Nifty indices. The code should run locally on Python (feel free to lean on pandas, NumPy, TA-Lib, backtrader or similar libraries) and must be able to import and work with historical market data only—no live feed is required for this milestone. Here is what I expect: • A clean, well-commented Python script (or notebook) that ingests historical data, generates trade signals, executes the logic, and outputs detailed performance metrics and an equity curve. • Clear instructions on how to map the code to CSVs or API endpoints I already use for historical NSE data. • A short README explaining any configurable parameters so I can tweak settings for further experiments. Back-testing acc...
...putting together a new line of notebooks and need two things brought together seamlessly: polished text and beautiful calligraphy. The raw passages—quotes, prompts, and a few short introductions—have already been drafted. First, I’d like them edited for grammar, clarity, and flow; once the wording is locked, each passage needs to be rendered in an elegant calligraphy style that suits the overall notebook design. Here’s how I see the workflow: • Edit the supplied text, returning it in a tracked-changes file so I can review every tweak. • After approval, produce high-resolution calligraphic versions of each passage. Vector files (AI, SVG) or 600 dpi transparent PNGs are ideal so my print team can drop them straight onto the page layouts. If you...
... PA-102 – Advanced PAUT Advanced scan planning Weld inspection techniques Data interpretation and analysis Flaw detection and characterization Advanced calibration methods (DAC/TCG) Practical hands-on applications General Course Information Training includes both classroom instruction and hands-on scanning 100% attendance is required for successful completion Students are encouraged to bring: Notebook Calculator All required materials will be provided Payment Terms Preferred payment method: Credit card prior to class start Credit cards processed approximately 2 weeks prior to class Checks must be: Received prior to class Tied to an approved Purchase Order Payment or PO due 2–4 weeks prior to class start Cancellation Policy Cancellation >10 business days → f...
I'm looking for a fun and playful logo for our 50th wedding anniversary celebration in the Bahamas. The logo should include: - Anniversary date or number 50 - Our initials (ML and LM) Color scheme should primarily feature blues, especially turquoise. Ideal candidates should have experience in creating fun and playful designs, and a good eye for color schemes, especially in the blue and turquoise range.
...against clearly defined metrics. I will supply the text dataset along with the target variable I want predicted. You will decide on the most suitable NLP approach—whether that’s classical techniques with scikit-learn or a deep-learning stack such as TensorFlow or PyTorch—document your reasoning, and implement the solution in clean, well-commented Python. Deliverables: • Reproducible code (Jupyter notebook or .py files) with setup instructions • A trained model saved in a shareable format • Evaluation report outlining methodology, key metrics, strengths, and limitations • Brief hand-off session or concise written guide so I can retrain or fine-tune the model later Please include examples of similar NLP predictive projects you’ve...
...my business questions. You should feel at home with pandas for wrangling, NumPy and SciPy for numerical work, and a modeling library such as scikit-learn or statsmodels to run regressions, clustering, or any technique you recommend. If you prefer working in a Jupyter notebook, that’s perfect; a well-commented .py script is also fine. I’ll supply the data files and a brief outlining the hypotheses I want tested the moment we start. Deliverables • Cleaned dataset saved back to CSV/Excel • Reproducible Python code (notebook or script) with clear comments • Concise summary of model results, including key metrics and interpretation I’ll validate the project by running your code on my machine and checking that the metrics match what you ...
...metrics, and iterate until you can clearly show learning progress. • Evaluate the model’s behaviour and summarize strengths, limitations, and next-step recommendations. • (Optional but welcome) Wrap the prototype in a minimal interface—CLI, notebook, or lightweight web page—so stakeholders can trigger runs and view results without digging into code. Deliverables 1. Well-commented source code and environment setup instructions. 2. A concise report covering methodology, experiments, results, and go-forward considerations. 3. Demo interface or notebook that reproduces headline results in one click. Success for me means I can execute your deliverables on my machine, reproduce the metrics you present, and clearly see whether investing in ...
...and documents whose original EXIF and other metadata are still intact. - A brief note on the investigative context so you understand why specific links matter. What I need back - A clear, well-structured report that walks through every correlation you uncover, complete with confidence levels and the logic or tool output that supports each finding. - A link-analysis chart (Maltego, i2 Analyst Notebook, yEd, or similar) showing relationships among identities, infrastructure and locations. - All parsed metadata and any scripts or command logs you run so the work is reproducible. Acceptance criteria 1. Each data point I provide appears in the final graph, either linked or explicitly marked “no link found.” 2. Any claimed tie between a person and a location is backed by ...
Job Title: Python Developer for Geophysical Data Analysis (K-Means Clustering & 3D Visualization) Proj...of clusters (K). 3D Visualization: * Create an interactive 3D Scatter Plot (using Plotly or similar) where earthquakes are plotted by Lat/Long/Depth. Color-code the points by their AI-assigned Cluster ID and size them by Magnitude. Geophysical Statistics: Create a function to calculate the b-value (Gutenberg-Richter Law) for the identified clusters. Deliverables: A clean, commented Jupyter Notebook or Python script that I can run on my Mac. Technical Requirements: Expertise in Scikit-Learn (K-Means, StandardScaler). Experience with Pandas and Plotly/Matplotlib. Background in Geophysics or Earth Sciences is a huge plus, but not required if you are strong in spatial da...
I have a clean, structured numerical dataset and need a supervised machine-learning model built, validated, and handed over with clear documentation. The goal is to predict future outcomes from past observations, so model accuracy and interpretability both matter. Here’s what I need from you: • A brief data-exploration notebook that highlights key correlations, missing-value handling, and basic visuals. • Feature engineering tailored to the data’s domain (scaling, encoding, derived metrics, etc.). • At least two supervised algorithms (for example, Gradient Boosting and Random Forest in scikit-learn, or an XGBoost/TensorFlow alternative) trained, cross-validated, and benchmarked. • A concise performance comparison using appropriate regression/...
I have a clean, structured numerical dataset and need a supervised machine-learning model built, validated, and handed over with clear documentation. The goal is to predict future outcomes from past observations, so model accuracy and interpretability both matter. Here’s what I need from you: • A brief data-exploration notebook that highlights key correlations, missing-value handling, and basic visuals. • Feature engineering tailored to the data’s domain (scaling, encoding, derived metrics, etc.). • At least two supervised algorithms (for example, Gradient Boosting and Random Forest in scikit-learn, or an XGBoost/TensorFlow alternative) trained, cross-validated, and benchmarked. • A concise performance comparison using appropriate regression/...
...• Convert the raw I/Q into clean baseband, map the frame structure, decode the traffic and load it into Wireshark for analysis. • Identify modulation parameters, channel coding, timing, and any higher-layer protocol fields that reveal network identity. Deliverables 1. Universal radio software csv to Wireshark capture files (.pcap/.pcapng) showing fully decoded traffic. 2. A step-by-step notebook or log explaining every stage—from initial demodulation through to the final packet view. 3. Reproducible scripts or flowgraphs (Python, GNU Radio Companion, etc.) so I can rerun the pipeline on new data. 4. A concise report naming the signal, its provider (when identifiable), and explaining each decoded field. Acceptance criteria: running your scripts on my ow...
...core deliverable must rely on an ML model that can be retrained as fresh data arrives. Once the model is tuned, I want the forecast visualised in an easy-to-read dashboard (Power BI or Tableau is ideal, though a clean Jupyter notebook is acceptable if the visuals are embedded). Please include error metrics such as MAE and MAPE so I can gauge performance at a glance, and add concise commentary on what drives the numbers—seasonal peaks, promotion spikes, stockouts, etc. Deliverables • Cleaned and documented dataset ready for future use • Fully commented code/notebook with the chosen ML forecasting model • Forecast outputs for the next 3, 6, and 12 months in CSV and visual form • Brief slide summary of findings, assumptions, and recommended...
I’m about to launch an education-focused podcast that translates learning theory into real classroom practice, and I need a visual identity that jumps off the screen. Title is 'Educational Equanimity'. Equanimity is about keeping calm under pressure. Logo – Style: bold and colorful so it still pops at thumbnail size on Spotify. – Imagery: you could weave in a microphone, a few book or notebook cues, and a subtle maths reference (think numbers). We wan to signal our practical focus on teachers and middle leaders in schools. It's about how to make research work in practice, how hard implementation is. Banners I need a clean, simple header that feels like an uncluttered extension of the logo and can be used on multiple sites (ie. Patreon, Subst...
...Python is the preferred language; The preprocessing must involve Quantum computing techniques using Pennylane. 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...
...real time. The flow must keep an audit trail of alerts received, Claude’s decision text, my approval, and the final execution report so I can review performance whenever I like. Deliverables: 1. Source code (Python or comparable language) with clear comments. 2. Setup guide for connecting TradingView webhooks, Claude API keys, and Kotak Securities credentials. 3. A lightweight front end or notebook that shows the live signal log, approval buttons, and running P&L. 4. Short video or call walking me through the installation and execution flow on my machine. Acceptance criteria: • TradingView test alert appears in the log within 2 seconds. • Claude analysis text is stored alongside the alert. • Clicking “Approve” sends the order to Kotak ...
I’m gearing up to release a premium notebook whose unique design is crafted specifically for students, and I want the launch to feel as distinctive as the product itself. Your mission is to shape the entire go-to-market plan—before, during, and after the big day—and then help steer it once we’re live. Here’s what I need from you: • A clear launch roadmap that builds anticipation pre-sale, drives conversions at launch, and nurtures repeat purchases afterward. • Channel recommendations and budget split. I’ve previously leaned on social media, email marketing, and paid advertisements, so you’ll decide how to optimise, expand, or pivot those engines. • A funnel blueprint that shows each touch-point from first impression throu...
...its price and what is included (possible 5 stages: Entrance, Plate, Drink, Dessert, Coffee) but it can be only 2 stages out of 5 (example: Plate+Drink) Please also tag each record with its district and municipality so the file can be filtered regionally. Deliverables 1. A single CSV or Excel file containing one row per restaurant with all fields above clearly labelled. 2. The script or notebook you use (Python with BeautifulSoup, Scrapy, Selenium, or any other tool you prefer) so I can rerun the scrape later. Acceptance criteria • No duplicate restaurants. • All mandatory columns populated where data exists on Google. • At least 95 % of entries correctly classified for fixed-price menu status and pricing. Keep the approach respectful of Google&rs...
...driven strictly by technical analysis. Your task is to run the numbers, chart the price action, and highlight trading signals that are visible through moving averages only—simple (SMA), exponential (EMA), or both, depending on what the price data suggests. Here is what I need from you: • Clean historical price data (daily & weekly) imported into Excel, Google Sheets, or a lightweight Python notebook—whichever lets you work fastest while keeping formulas transparent. • Clearly labeled MA overlays and crossover points visualised on charts. • A short written commentary (1-2 pages) explaining trend direction, momentum shifts, and any actionable levels you spot (support, resistance, potential breakout areas). • A final file package I can ...
I’m looking for a finance-savvy analyst who can break down the cryptocurrency market and show me whe...tables, and a brief executive summary so I can make decisions quickly. Preferred approach Data can come from CoinMarketCap, Glassnode, CryptoCompare, or similar APIs—feel free to leverage Python, Excel, or any platform you’re comfortable with, as long as sources are cited. Deliverables 1. PDF report (10–15 pages) with narrative analysis, visuals, and recommendations. 2. Spreadsheet or Jupyter notebook containing raw data, formulas, and your calculation logic. 3. One follow-up clarification call or written Q&A after delivery. If you have a proven track record analyzing digital assets and can translate complex metrics into plain language and practic...
...on the provided A407 → 2-08 sample) Detect all cabinets, sinks, pegboards, upper units, etc. from the architectural elevation. Map them to the correct Mott model numbers and configurations. Generate a complete Mott-style shop drawing (text + layout). Export the shop drawing as a clean, editable DXF file (layers, blocks, dimensions, text, title block, etc.). Deliverables Working Python script / notebook that takes one architectural elevation (image or PDF page) as input. Output: Full textual Mott shop drawing description Professional DXF file ready for AutoCAD Clean, well-commented code with clear instructions so I can run it myself on future projects. Optional: Ability to process multiple elevations from one project (discussed after POC). Required Skills: Strong experie...
...the final story the numbers tell. Typical tools such as Python (pandas, matplotlib, seaborn), R (dplyr, ggplot2), or even Power BI/Tableau are all acceptable—please work in whichever environment lets you deliver crisp, reproducible results fastest. Deliverables • Concise written report (PDF or Word) outlining findings, notable patterns, and any unexpected observations • Well-commented code or notebook so I can reproduce every figure and table • 3–5 presentation-ready visualizations (PNG or interactive dashboard) that highlight the most important insights Acceptance criteria: results must run end-to-end on my machine, and every number displayed in the report must be traceable back to an explicit line in the code or formula. Timeline is flexible wi...
I have a numerical dataset that needs a careful scrub before any sense can be made of it. The main headache right now is outliers—they are skewing the sto...statistics—think clear measures of central tendency, dispersion, and a concise written interpretation that highlights anything interesting the cleaned data reveals. No forecasting or trend-spotting models this time; just an honest summary of what the numbers say after the noise is removed. Deliverables: • Cleaned dataset with outliers handled (flagged or adjusted—explain your choice) • A short report or notebook showing the code/workflow plus the descriptive stats and narrative explanation • Quick hand-off guide so I can replicate the process on future datasets If this sounds like your kind...
...techniques to surface the dominant concepts. My preference is a Python-based workflow—think spaCy, NLTK, gensim, BERTopic, or comparable libraries—but I’m open to whatever stack you feel will give the most coherent results. Visual summaries such as word clouds or interactive topic maps are definitely welcome if they help make the findings intuitive. Deliverables • Well-commented code or notebook that I can run locally without tweaks • A short methodological write-up (steps taken, models used, parameter choices) • The final theme/topic list with brief descriptions and any supporting visualizations • Instructions for adding new articles to the pipeline I only need “Key themes and topics” right now; citation or sentiment...
...so everything feels like one family. Deliverables • Minose company profile (PDF, screen-optimised, not for print) • Brochure artwork ready for 100 printed copies • T-shirt graphic for 10 pieces (front and back) • Matchbox design (full wrap) • Smart visiting card layout for tap-and-scan NFC cards • A4 envelope design • Standard-size envelope design • Branded L-folder artwork • Notebook cover and inside page template for 100 copies • Letterhead artwork for 100 prints Acceptance criteria • Consistent colour palette, typography and iconography across every item • Final files supplied as print-ready PDFs (CMYK + 3 mm bleed) and source files (AI/PSD/INDD) • All text remain editable; fonts eithe...
...campus—schools, junior colleges, professional institutes—and spark genuine interest in the idea. Your typical day will be spent travelling to nearby institutions, greeting principals or senior staff, giving a clear demo of how the notebook customisation works, and leaving them keen enough to pencil in a follow-up meeting where I can close the deal. Because the first conversation matters, you’ll need to handle both English and Telugu smoothly and project quiet confidence. I’ll equip you with: • A concise digital slide deck you can run from a tablet or laptop • Physical notebook samples that show print quality and branding options I count every scheduled follow-up meeting as a win, and you receive commission once an institution places...
...quotes, seasonal moods, travel adventures, floral botanicals and any fresh concepts you can pitch. Variety is key; I want customers to browse and instantly spot a cover that resonates with their personality or the moment they’re in. For every approved design I’ll need: • A print-ready file (300 dpi, CMYK, full bleed to my template size—usually A5 portrait) • Layered mock-ups that makes the notebook look real on a desk or in a hand—perfect for e-commerce thumbnails and social posts. Adobe Illustrator or Photoshop is fine as long as any fonts and imagery are commercially licensed. Please keep smart object layers intact so I can swap colours or tweak copy later. We’ll start with a small pilot batch to lock in dimensions and brand fe...
... • The trained model weights (.safetensors or compatible) ready to drop into Automatic1111 or ComfyUI. • A concise README covering install steps, inference parameters, and recommended hardware. • At least ten side-by-side samples using my unseen test shots that show accurate skin smoothing and blemish removal while preserving pore detail and minute tonal shifts. • An optional script or notebook for batch processing would be a welcome bonus. Acceptance criteria 1. Texture retention: pores and fine hairs stay intact at 100 % zoom. 2. Color neutrality: no unexpected shifts away from my reference retouches. 3. Instructions reproduce identical results on a second machine. If you’ve built portrait-specific LoRAs or similar beauty pipelines befor...
I need a complete concept-to-insight package for a new personal finance management product. The core of the assignment is a Python notebook (Google Colab preferred) that takes raw user transaction data, cleans it, applies regression techniques, and then produces a short-term forecast I can cite in investor conversations. Because time is critical, I’m aiming to move quickly—ASAP means I will review work as soon as it comes in and provide immediate feedback. Here is what success looks like for me: • A well-commented Colab notebook using pandas, NumPy, scikit-learn or statsmodels for the regression and forecasting sections. Every major step—from missing-value handling to model evaluation—needs a clear markdown explanation that a non-technical stake...
...vegetable samples. My current lab setup streams CSV files over USB; if you have dealt with other device protocols, feel free to propose an efficient data-capture approach. Core requirements • A clean Python pipeline that parses the spectra, performs any necessary preprocessing (baseline correction, smoothing, normalization), and feeds the data into a TensorFlow model. • A well-documented training notebook + scripts so the model can be re-trained when new pesticides or produce types are added. • (Optional but welcome) a complementary computer-vision module. If you have experience with object detection, segmentation, or classic feature extraction, show me how you would fuse image cues with the spectral output to boost accuracy. • An API or simple GUI th...
... You’ll have direct read-only access to the relevant tables along with a short data dictionary. From there, please choose the techniques and tools you’re most comfortable with—whether that’s Python (pandas, scikit-learn), R, or another established machine-learning framework—so long as the final model is reproducible and the code is clearly documented. The deliverable I expect is a concise notebook or script that: • cleans and preps the data, • trains and validates at least one predictive model, • outputs performance metrics and feature importance, and • saves predictions to a table or CSV for downstream use. When you respond, include examples of past work that demonstrate similar predictive projects; that will weigh...
I am looking f...consistent IDs (Object Tracking) to follow individual movements over time. * High Confidence: It must identify both classes (mussel, group) with high precision and recall. What I will provide: * A comprehensive dataset of over 5,000 images for labeling and training. Deliverables: 1. Final Weights & Inference Script: Compatible with PyTorch or the Ultralytics CLI. 2. Training Documentation: A notebook or script detailing all hyperparameters used. 3. Performance Report: Metrics including Precision, Recall, mAP, and a sample video showing the tracking output. 4. README: Clear instructions to reproduce the inference and results on my end. Once the model demonstrates accurate counts and stable ID tracking across consecutive frames, the project will be consid...
...keep it modular for easy parameter tweaks, and wire it for live execution. I want you to build on familiar tools—Pandas for data handling, TA-Lib for indicator parity, and Backtrader for back-testing. During development I will supply the original Pine code and walkthroughs of each module so you can mirror calculations line by line. Deliverables I expect • A well-documented Python package (or notebook set) that connects to Zerodha, streams intraday data, executes the strategy, and handles order/state persistence • Backtrader test harness showing identical entry/exit points to the TradingView reference • Built-in generation of trade logs (CSV or SQLite is fine), performance metrics (CAGR, hit rate, max-DD, etc.), and optional Matplotlib/Plotly visual char...
...clean, well-commented Python code (TensorFlow, PyTorch or scikit-learn are all acceptable) plus a short README explaining data preprocessing, hyper-parameters and how to port the model to an embedded runtime (e.g., TensorFlow Lite, ONNX). 4. Supply a small synthetic data set and demonstrate at least 90 % accuracy in distinguishing normal from suspicious activity during a live demo or recorded notebook. Acceptance criteria • Model trains and runs locally on a laptop within 10 minutes using the provided sample data. • End-to-end pipeline reproduces results via a single command. • Clear documentation shows how each privacy concern—encryption, unauthorized access, data misuse—is addressed in code logic. If you have prior experience with anomaly de...
...or PyTorch only if the accuracy gains justify it) and present the work in a Jupyter Notebook. Your notebook should walk me through: • data import, preprocessing, and exploratory visuals • model selection and cross-validated performance metrics • prediction of W/L ratio on unseen inputs • a short optimisation routine that searches the design space and highlights the top candidate settings based on the trained model’s outputs Alongside the notebook, include the cleaned CSV you actually trained on, any helper scripts, and a one-page summary that explains model choice, key findings, and how I can rerun the pipeline when fresh measurement data arrives. I will consider the job complete when the notebook runs end-to-end on my mac...
The project combines two key act...conclusion—while the analytical portion should highlight the numbers that matter, presented through easy-to-grasp commentary and, where helpful, simple visuals such as tables or charts created with familiar tools (Excel, Google Sheets, or Python libraries like pandas/matplotlib). Deliverables • 1,500–2,000-word health article in editable format (Word or Google Docs) • Supporting spreadsheet/notebook containing the cleaned data, calculations, and visual assets • Citations for every data source or study referenced I’m flexible on timing; quality and accuracy take priority over speed. Let me know any additional datasets or access you might need so I can arrange it in advance, and feel free to suggest the best a...
...with no certificate warnings. 3. Relution and Inuvika logins working with UCS accounts. 4. A concise hand-over document covering changes, commands and rollback steps. All work happens on Linux servers; I can grant SSH access and provide test accounts on request. Let me know your proposed sequence and estimated time to completion so we can plan maintenance windows together. working on my notebook per anydesk current status: all UCS are setup and running, ldap running, all servers are uptodate (one server for relution is the webinterface down, the certs need to be fixed first)....
...transformer—as long as the final model meets the accuracy targets we set together. Feel free to work in PyTorch or TensorFlow/Keras; I’m comfortable deploying either. What I’ll provide • A structured folder of training, validation, and test images • Category labels and a brief data dictionary • Access to a GPU instance if you need it What I need back 1. Clean, well-commented code (Jupyter notebook or Python scripts) that handles preprocessing, augmentation, training, and evaluation. 2. Trained weights plus an inference script that loads one or more images and returns the predicted class with confidence scores. 3. A concise report (Markdown or PDF) covering model architecture, key hyper-parameters, training curves, confusion matrix, and t...
...clean, well-commented Python code (TensorFlow, PyTorch or scikit-learn are all acceptable) plus a short README explaining data preprocessing, hyper-parameters and how to port the model to an embedded runtime (e.g., TensorFlow Lite, ONNX). 4. Supply a small synthetic data set and demonstrate at least 90 % accuracy in distinguishing normal from suspicious activity during a live demo or recorded notebook. Acceptance criteria • Model trains and runs locally on a laptop within 10 minutes using the provided sample data. • End-to-end pipeline reproduces results via a single command. • Clear documentation shows how each privacy concern—encryption, unauthorized access, data misuse—is addressed in code logic. If you have prior experience with anomaly de...
...with no certificate warnings. 3. Relution and Inuvika logins working with UCS accounts. 4. A concise hand-over document covering changes, commands and rollback steps. All work happens on Linux servers; I can grant SSH access and provide test accounts on request. Let me know your proposed sequence and estimated time to completion so we can plan maintenance windows together. working on my notebook per anydesk current status: all UCS are setup and running, ldap running, all servers are uptodate (one server for relution is the webinterface down, the certs need to be fixed first). ...
...with no certificate warnings. 3. Relution and Inuvika logins working with UCS accounts. 4. A concise hand-over document covering changes, commands and rollback steps. All work happens on Linux servers; I can grant SSH access and provide test accounts on request. Let me know your proposed sequence and estimated time to completion so we can plan maintenance windows together. working on my notebook per anydesk...
This stationery design project is a complete and modern branding solution created using Adobe Illustrator. The design reflects a clean, professional, and corporate identity with a strong visual consistency across all elements. The stationery set includes a letterhead, business cards, envelope, notebook, ID card, shopping bag, USB, mug, and other branding materials. Each item is designed with a unified color scheme of red, blue, and white, creating a bold and eye-catching appearance while maintaining a professional look. The layout is carefully structured with minimal and clean elements, ensuring clarity and readability. Smooth curves and modern shapes are used to give the design a dynamic and creative feel. The logo placement and spacing are balanced across all items, which helps ...
...brokerage connectivity. Wherever latency can be shaved, I’d like to see Numba or Cython used for just-in-time speed-ups, especially inside tight loops. The live leg must subscribe to tick data over WebSockets, place/modify orders, and stream portfolio updates without choking. Deliverables • Unified codebase that plugs my existing strategy classes into Backtrader • Back-testing module (CLI or notebook) that outputs detailed metrics and equity curves • Live-trading runner wired to Kite, with basic risk controls and logging • Lightweight performance monitor (console or simple dashboard) showing PnL, drawdown, and order status in real time • Setup/usage guide so I can spin everything up on another machine in minutes Acceptance will be based on...
I am looking f...consistent IDs (Object Tracking) to follow individual movements over time. * High Confidence: It must identify both classes (mussel, group) with high precision and recall. What I will provide: * A comprehensive dataset of over 5,000 images for labeling and training. Deliverables: 1. Final Weights & Inference Script: Compatible with PyTorch or the Ultralytics CLI. 2. Training Documentation: A notebook or script detailing all hyperparameters used. 3. Performance Report: Metrics including Precision, Recall, mAP, and a sample video showing the tracking output. 4. README: Clear instructions to reproduce the inference and results on my end. Once the model demonstrates accurate counts and stable ID tracking across consecutive frames, the project will be consid...
...need a clean, well-commented solution that meets typical academic grading standards and can be explained in detail if asked during a viva. You will receive: • The PDF brief outlining the exact questions, grading rubric and any constraints. • A CSV dataset (or I can swap in a similar file if you prefer a richer example). What I need in return: • One self-contained Python 3 script (or Jupyter notebook) that loads the dataset, performs the requested exploratory analysis, applies any statistical tests or visualisations called for in the brief, and prints or plots clear results. • Inline comments that clarify the logic, plus a short README or markdown cell summarising how to run the code and interpret the outputs. • Use of standard data-science libraries...
...thoughtful combination if you see value in blending them) and I’m open to your recommendations on parameter tuning, seasonality handling, and any necessary data transformations. Here is what I need from you: • Clean, prep, and explore the data so that any missing values, outliers, or calendar effects are handled transparently. • Build the forecasting pipeline in reproducible Python code (Jupyter Notebook or .py script). • Generate point forecasts and confidence intervals for a horizon we will decide together once you see the file. • Visualise actual vs. predicted values and provide a concise summary explaining model choice, diagnostics, and performance metrics (MAE / RMSE). • Package everything—code, plots, and brief read-me—so ...
...hours available. What matters most is a clear comparison that balances supply and demand month by month, highlighting any shortfalls or excesses so we can take action before problems surface. I also want the flexibility to adjust assumptions (for example, add weekend shifts or tweak run rates) and watch the projected capacity line update instantly. Deliverables • A dynamic model (Excel, Python notebook, Power BI, or a similar transparent tool) that accepts: – the 12-month time-series forecast as an input file – plant-level run rates, staffing levels, and standard hours • Automated calculations that roll these inputs into monthly capacity by plant and aggregate network view • Visual dashboards or charts showing demand vs. capacity...
...is to get binary classification of camels when predicted by the model with 90-95% accuracy. . Mismatches are permitted only in the case of borderlines not the extreme misclassification. • Reproducible scripts (R/Python or both) that perform the stated preprocessing steps • Well-commented code for regression models and PCA, including visual summaries of key outputs • A concise report or notebook explaining findings, parameter choices, and recommendations for the next modelling phase Everything should run on standard open-source libraries (e.g., tidyverse, Bioconductor, scikit-learn) so the pipeline can be handed over or scaled easily. If you have alternative tool preferences I am flexible, as long as the results are transparent and reproducible. I will...
...inconsistencies) • Videos (frame-level analysis + temporal inconsistency detection) • Audio (spectral patterns, voice anomalies, speaker embeddings) Core Requirements: • Multi-modal deepfake detection (Image, Video, Audio) • Clean and scalable Python-based architecture • Support for datasets like FaceForensics++ and DFDC • Training, evaluation, and inference pipeline • Option to run via CLI, Jupyter Notebook, or executable (.exe) Tech Stack (Preferred): Python, OpenCV, TensorFlow/PyTorch, scikit-learn Audio processing tools (LibROSA, etc.) Frontend + Backend integration (optional but preferred) Additional Features (Bonus): • Web interface (FastAPI + frontend) • Runtime learning / feedback system • Lightweight dataset crawler...
