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Fiverr Pro
Français
$
USD
I will develop machine learning model for your decision making
Data Scientist
I am a Full Stack Developer and Data Scientist with a background in research and statistical analysis. I help students, researchers, and businesses make sense of their data — from hypothesis testing a...
À propos de ce service
Got data but not sure what to do with it? I'll build a clean, well-documented machine learning model tailored to your business problem whether that's predicting customer churn, classifying transactions, or segmenting your audience.
What I work with:
- Classification: Random Forest, XGBoost, LightGBM, SVM, Logistic Regression
- Regression: Linear, Ridge, Lasso, XGBoost Regressor
- Clustering: K-Means, DBSCAN
- Feature engineering and selection
- Hyperparameter tuning (GridSearchCV, RandomizedSearchCV)
- Model evaluation: accuracy, F1-score, AUC-ROC, RMSE, and more
What you'll receive:
- Clean Jupyter Notebook with full pipeline: data prep modeling evaluation
- Trained model file (.pkl / .joblib) on request
- Performance summary with interpretation
- Visualizations: feature importance, confusion matrix, residual plots
To get started, I'll need:
- Your dataset in CSV or Excel format
- A description of your business problem and target variable
- Any specific performance requirements (if applicable)
Not included: data collection, deep learning or neural networks, model deployment or API integration.
Mon portfolio
FAQ
Do I need to prepare my data before sending it?
Basic preparation is included — handling missing values, encoding categorical variables, and splitting train/test sets. You just need to provide a dataset that already has the relevant columns and a clear target variable.
What if I don't know which algorithm is best for my problem?
hat's part of what I do. Once I understand your data and business goal, I'll recommend and implement the most suitable algorithm and explain the reasoning.
Will I be able to use the model after delivery?
Yes. The Standard and Premium packages include a saved model file (.pkl or .joblib) that you can load directly in Python. The notebook also contains the full pipeline so you can retrain it on new data.
What if the model accuracy is low?
Low accuracy sometimes reflects the data rather than the model. I'll always deliver the best result achievable with your dataset and explain what's driving the performance. If better results require more data or a different approach, I'll tell you honestly.
Can you deploy the model or build an API around it?
Deployment and API integration are not included in this gig. The deliverable is the trained model and notebook. If you need deployment, feel free to message me to discuss it separately.
My dataset is in Excel with multiple sheets. Is that okay?
Yes, just specify which sheet contains the data you want me to work with when you place the order.
