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Best French-speaking scikit-learn freelancers to hire in 2025

Looking to hire French-speaking scikit-learn freelancers for your next project? Browse the world’s best scikit-learn freelancers on Contra.

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Logo for Wix StudioLogo for RiveLogo for WebstudioLogo for GlorifyLogo for JitterLogo for FlutterFlowLogo for PeachWebLogo for CanvaLogo for Lottie FilesLogo for Workshop BuiltLogo for BuildshipLogo for AppsumoLogo for FramerLogo for BarrelLogo for BubbleLogo for LummiLogo for WebflowLogo for GrayscaleLogo for Stride UXLogo for InstantLogo for SplineLogo for KittlLogo for RelumeLogo for HeyGenLogo for Replo
Cover image for ML Algorithm to minimize cost of manufacturing process
Cover image for End To End HR Employee Retention using ML
Cover image for Telecom Customer Churning Prediction
Cover image for Loan-Approval-Prediction-Using-Machine-Learning
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Ahmed Bendrioua
Morocco
Cover image for RECKLN - Advanced Deep Content-Based Movie Recommendation System
Cover image for YOURKLN-8B - AI Generation Model for In-Depth AI Analysis
Cover image for Text2SQL - natural language queries to sql
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Ikram Khan
Pakistan
Cover image for Taxi Fare Amount and Generous Customer Prediction
Cover image for Product Review Sentiment with Automl & BalzingText
Cover image for Llama-3.1 PEFT Chatbot Human Preference Prediction
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Cover image for AI-Powered Predictive Analytics Dashboard
Cover image for Custom ComfyUI Workflow for App backend
Cover image for Website Redesign for CleanGuru Odesa
Cover image for Website Development with Next.js and Tailwind CSS

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FAQs

Check their past work and see if they have built models before. Ask for examples of projects they've done with scikit-learn. Look for reviews or testimonials from other clients.
Describe your project in simple words and ask for their feedback. See if they can explain how they would solve your problem using scikit-learn. A good expert will give a clear and confident answer.
Make a list of everything you want, like predictive models or data visuals. Discuss these with the expert to see if they can deliver them. Agree on how and when you will receive each deliverable.
Make sure everyone agrees on the project goals and timeline. Write down the plan and steps to follow. Clear communication at the beginning helps avoid confusion later.
Ask if they follow best practices and use updated versions. Ensure they are familiar with the latest scikit-learn functionalities. Good experts will optimize their work to save time and resources.
Ask them to explain their work process step-by-step. A clear plan helps you see how tasks will get done. Knowing this can help you manage your expectations and timelines.
Decide on how and when you will talk, like using chat or video calls. Regular updates help keep everyone on the same page. Good communication makes sure you are both happy with the project’s progress.
Plan regular meetings to review the work and give feedback. Agree on how changes will be handled if things need to adjust. This keeps the project on track and meets your expectations.
Have a clear idea of what you want to achieve. Collect any necessary data and identify the problem you want solved. This preparation makes it easier for the expert to start working quickly.
Check if the final deliverables meet the agreed goals. Evaluate if the models work as expected and the analysis is clear. Success means getting results that solve your problem or enhance your data.
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