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Healthcare Data Analyst and Statistician Delivering Actionable Insights
Need to predict an outcome from your dataset, such as a diagnosis, churn, or risk? I build and compare machine learning classification models, and I explain the results in plain language.
What I do:
Sample work: I built a liver disease prediction model on 1,700 patient records. Random Forest scored 0.907 on the Kaggle leaderboard, beating Decision Tree, KNN, and Naïve Bayes.
Please send: your dataset, the target variable, and your deadline.
Programming language:
Python
•
R
•
Colab
Frameworks:
Scikit-learn
•
Panda
APIs:
Microsoft Computer Vision AI
Tools:
Excel
•
Stata
•
Colab