I will build and evaluate a machine learning model in python or r
Data is the new oil!
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About this Gig
I'm a PhD data scientist (University of Leeds), IBM-certified in Machine Learning with Python, with 600+ projects delivered. I build and validate machine-learning and predictive models that actually hold up no data leakage, proper cross-validation, honest metrics.
Send me your data and goal (predict what, for whom) and I'll handle the full path: cleaning, feature engineering, model selection (Random Forest, XGBoost, logistic/regression, clustering, NLP), tuning and evaluation (accuracy, ROC/PR, precision/recall, feature importance).
You receive:
- A trained, validated model
- A clear performance report (confusion matrix, ROC curves, feature importance)
- Clean, commented Python or R code you can re-run
- Honest guidance I'll tell you when a simpler model wins
Use cases: classification, regression, churn/risk scoring, NLP/text classification, forecasting, anomaly detection.
Message me with your dataset and question you'll get a tailored plan within 24 hours.
My Portfolio
FAQ
How can I feel comfortable that I will get what I actually need?
Before the order starts, I will make sure that we discuss your project extensively until you feel comfortable that I have understood what you need and I feel confident that I am able to meet your expectations. You may even request a video meeting if you want!
What if your delivey is entirely not what I expected to receive?
Your satisfaction is the most important thing. If for some reason the delivery is not what you expected, I will edit the work as many times as needed until you are satisfied, for no extra cost.
What is your workflow process?
Firstly we will be discussing your project in detail, so you feel comfortable hiring me and I feel confident I can deliver what you need. After we formalize the order, we will be in touch to clarify any additional small issues. I will also be open to questions after the order is completed.
