I will build a machine learning prediction model with python
Machine Learning Engineer Data Analysis
About this Gig
I'm Mazhar a Machine Learning developer working with Python. I build prediction models and deliver them as working applications & Dashboards not just code in a notebook.
What I've built: a customer churn prediction platform using Random Forest (84% ROC-AUC), a house price prediction model, and a classification model. All three are deployed as live web apps with source code available links are in my portfolio.
What I can do for you:
Clean and prepare raw or messy datasets for machine learning. Build classification models for churn, fraud, or approval prediction. Build regression models for price, sales, or demand prediction. Compare multiple algorithms, including Logistic Regression, Random Forest, and XGBoost, and select the best performer. Handle imbalanced datasets correctly instead of ignoring the issue. Explain why a model makes a given prediction using SHAP, not a black box. Deploy the final model as a live, interactive dashboard using Streamlit.
Tools: Python, Pandas, Scikit-learn, XGBoost, SHAP, Streamlit.
I'm early in my Fiverr journey and review each order carefully. Send a sample of your dataset before ordering, and I'll confirm honestly whether I'm a good fit.
Programming language:
Python
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Colab
Frameworks:
Scikit-learn
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Panda
Tools:
Jupyter Notebook
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Other
