NumPy Jobs

I need a solid, repeatable Python workflow that cleans a large financial transactions file (≈200 k rows) entirely with Pandas. My priorities are: • remove duplicates and impossible values • standardise dates, currency symbols and decimal separators • impute or flag missing entries in key fields such as amount, account ID, cost centre • expose any outliers so I can double-check them later Please deliver: 1. a well-commented .py script or Jupyter notebook built around Pandas (NumPy and built-in libs are fine, avoid heavyweight extras) 2. the cleaned CSV / XLSX ready for downstream analysis 3. a short README describing each major cleaning step and how to rerun the process on future files Acceptance criteria: the script must run end-to-end from ra...

I need a machine-learning expert who can take raw time-series signals and turn them into accurate, production-ready models. The entire effort revolves around signal processing—filtering, denoising, feature extraction—and then building, training, and validating models that make reliable predictions from those signals. The data you will handle arrives as multichannel time-series streams. You will decide on the best preprocessing pipeline (e.g., wavelet or FFT filtering, adaptive smoothing, normalization), engineer features, and then implement and compare models such as CNNs, transformers, or traditional algorithms if they outperform deep nets for this context. Python is my preferred stack; NumPy, SciPy, scikit-learn, PyTorch or TensorFlow should feel second nature to you. Robust...

We are looking for a contractor with strong experience in computer vision, signal processing, multimedia systems, and Python-based research prototyping. The work involves designing and evaluating algorithms for video analysis, content protection, robustness testing, and experimental research. Ideal candidates should have experience with: Python OpenCV FFmpeg NumPy / SciPy Computer Vision Signal Processing Image / Video Processing Experimental Evaluation Technical Report Writing Selected candidates will be asked to complete a paid technical assessment involving the design and evaluation of a video-processing algorithm.

I have a project that needs a full machine-learning workflow built in Python. The business objective and the kind of data we will work with are still open for discussion, so I’m counting on your expertise to help me refine the goal, pick the right algorithms, and prepare a clean, reproducible pipeline. What matters right now is that everything runs in Python 3.x and relies on well-supported libraries such as pandas, NumPy, scikit-learn, TensorFlow or PyTorch. Once we agree on the exact use-case, you will: • set up data-preprocessing scripts and exploratory notebooks • build, train, and tune the initial model • deliver clear, commented code with a brief report explaining choices, metrics, and next-step recommendations The work is complete when I can run your co...

I’ve collected a sizable housing-market dataset and now need a complete prediction pipeline built in Python. The work starts with thorough cleaning, preprocessing, and creative feature engineering so that every useful signal—size, rooms, location ratings, and any other attributes we can derive—is captured. Once the dataset is ready, I want to benchmark several approaches, but the core focus is Random Forest Regression. Feel free to test Linear or Support Vector methods if they might edge out the forest, yet the final report should clearly show how each model performs against the usual metrics (RMSE, MAE, R²). Visual insight is important, so the notebook or script has to generate intuitive plots—scatter trends, residual diagnostics, whatever best tells the sto...