Machine learning Engineer

About this Gig

I offer data-driven solutions using machine learning techniques such as predictive modeling, classification, clustering, and data analysis. My services include data preprocessing, model building and evaluation, feature selection, and result interpretation using tools like Python, scikit-learn, and pandas. Ideal for solving real-world problems in areas like healthcare, business, and automation

Requirements

To deliver the best results, kindly provide the following: 1. Project Objective - A clear description of the problem you want to solve or the goal you want to achieve. 2. Available Data - Format (e.g., CSV, Excel, SQL, etc.) - Type of data (numerical, text, images, etc.) - Explanation of features and labels (if applicable) 3. Expected Output - Type of results needed (predictions, classifications, reports, visualizations, etc.) 4. Timeline & Budget - Your preferred delivery timeline and budget range. 5. Tool/Platform Preferences (if any) - Specific technologies or environments you want used. 6. End-User Context - Who will use the model/output and how often it will be used (one-time, recurring, real-time, etc.)

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