NumPy Jobs

I need accurate, production-ready DFM models for deepfake live

I have a collection of Excel and CSV files that hold our customer data—demographics, purchase history, engagement metrics, and a few custom fields. My goal is to see exactly what the numbers are telling us right now, without venturing into forecasting or optimization. Here’s what I need: • A clean-up of the raw spreadsheets (standardised headers, consistent data types, removal of obvious input errors). • Core descriptive statistics—totals, averages, ranges, frequency counts—and any relevant ratios that highlight customer behaviour. • Clear visual summaries: pivot charts, heat-maps, or other simple dashboards built with Excel (Power Query / Power Pivot is fine) or Python (pandas, matplotlib, seaborn) if you prefer. • A short narrative r...

Cancer Detection Using Machine Learning ## Project Overview I have developed a Machine Learning based Lung Cancer Detection system that predicts the likelihood of lung cancer using patient medical parameters and data analysis techniques. This project is suitable for: * Final year engineering students * Academic submissions * Research work * Machine Learning learning purposes * Healthcare AI projects ## Features * Data preprocessing and cleaning * Exploratory Data Analysis (EDA) * Machine Learning model training and testing * Accuracy evaluation and prediction system * Visualization graphs and reports * Easy-to-understand code structure * User-friendly implementation ## Technologies Used * Python * Scikit-learn * Pandas * NumPy * Matplotlib * Jupyter Notebook ## Deliverables * Com...

# Lung Cancer Detection Using Machine Learning ## Project Overview I have developed a Machine Learning based Lung Cancer Detection system that predicts the likelihood of lung cancer using patient medical parameters and data analysis techniques. This project is suitable for: * Final year engineering students * Academic submissions * Research work * Machine Learning learning purposes * Healthcare AI projects ## Features * Data preprocessing and cleaning * Exploratory Data Analysis (EDA) * Machine Learning model training and testing * Accuracy evaluation and prediction system * Visualization graphs and reports * Easy-to-understand code structure * User-friendly implementation ## Technologies Used * Python * Scikit-learn * Pandas * NumPy * Matplotlib * Jupyter Notebook ## Deliverables...

I have a complete set of yearly sales figures that I need explored in depth. My main objective is to surface clear trends hidden in the numbers—patterns in revenue growth or decline, seasonal shifts, product or regional out-performance, and any anomalies that merit a second look. All raw data are already cleaned and stored in spreadsheets; if you prefer working in Python (Pandas, NumPy, Matplotlib/Seaborn) or an R environment, that’s fine—just let me know your choice so I can grant access to the files in the right format. Please feel free to bring your own BI tool for supplementary dashboards if it speeds up iteration. Deliverables I expect • A concise written report outlining the key trends you discover, backed by summary statistics. • Clear visualizati...

# Lung Cancer Detection Using Machine Learning ## Project Overview I have developed a Machine Learning based Lung Cancer Detection system that predicts the likelihood of lung cancer using patient medical parameters and data analysis techniques. This project is suitable for: * Final year engineering students * Academic submissions * Research work * Machine Learning learning purposes * Healthcare AI projects ## Features * Data preprocessing and cleaning * Exploratory Data Analysis (EDA) * Machine Learning model training and testing * Accuracy evaluation and prediction system * Visualization graphs and reports * Easy-to-understand code structure * User-friendly implementation ## Technologies Used * Python * Scikit-learn * Pandas * NumPy * Matplotlib * Jupyter Notebook ## Deliverables...

I need Python code for data processing tasks. Essential requirements: - Proficiency in Python - Experience with data processing libraries (e.g., Pandas, NumPy) - Ability to write efficient, clean, and well-documented code - Problem-solving skills for complex data challenges Ideal skills: - Background in data science or analytics - Knowledge of data visualization tools - Experience with large datasets and performance optimization Looking for freelancers who can deliver high-quality, reliable code within budget. Please provide relevant work experience in your bids.

I have a CSV that logs product sales alongside TV, Radio, and Newspaper advertising spend. I want a clean, reproducible Python workflow that turns this data into an accurate sales-forecasting model and a concise set of insights for decision-makers. The raw file contains a few gaps, so your first step is to inspect, clean, and appropriately impute missing values. Once the data is tidy, explore it with Pandas, NumPy, Matplotlib, and Seaborn to surface correlations and outliers. For modelling, start with a well-documented Linear Regression approach using scikit-learn. If you see a clear uplift from adding regularisation or polynomial terms, feel free to include that comparison, but keep the final deliverable focused on a model that is simple to interpret and easy to retrain. Deliverables ...