Metastatic cancer diagnosis prediction model for Wids Datathon 2024. Developed in Python an accurate prediction model utilizing machine learning techniques and ensemble methods and explored supervised and unsupervised learning algorithms, including linear regression, decision trees, and clustering. Demonstrated expertise in data preprocessing, model training, result interpretation, exploratory data analysis, feature engineering, and machine learning model development, resulting in actionable insights and competitive predictive performance.
-
Notifications
You must be signed in to change notification settings - Fork 0
Metastatic cancer diagnosis prediction model for Wids Datathon 2024. Developed in Python an accurate prediction model utilizing machine learning techniques and ensemble methods and explored supervised and unsupervised learning algorithms, including linear regression, decision trees, and clustering.
sadeelmu/oncology-diagnostic-prediction-model-wids
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Metastatic cancer diagnosis prediction model for Wids Datathon 2024. Developed in Python an accurate prediction model utilizing machine learning techniques and ensemble methods and explored supervised and unsupervised learning algorithms, including linear regression, decision trees, and clustering.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published