-
The World Bank
- Washington DC, USA
-
06:19
(UTC -05:00) - in/montgomery-yu
- https://www.coursera.org/user/f754e2d2547f28065ccc51e6158aefb7
Pinned Loading
-
Machine-Learning
Machine-Learning PublicBuilt 5 ML models to identify customers likely to purchase loans in Makati, Philippines for Real Estate Purposes
Python
-
Hyperparameter-Tuning
Hyperparameter-Tuning PublicAttrition Models (Hyperparameter Tuning) for Credit Card Attrition (World Bank Credit Union)
Python 1
-
Predicting-Chances-of-College-Admission
Predicting-Chances-of-College-Admission PublicNeural Networks Project on Predicting Chances of Admission to US Colleges at Undergraduate and Graduate level based on Kaggle Dataset
Jupyter Notebook 1
-
Diabetes-Risk-Prediction
Diabetes-Risk-Prediction PublicMachine Learning Project to predict Diabetes Risk given dataset taken from Kaggle. Type 2 Diabetes runs in my family
Jupyter Notebook 1
-
Airfare-Travel-Change-Prediction
Airfare-Travel-Change-Prediction PublicWorld Bank Project to predict the price of flights for one Fiscal Year for all employees. This is a small sample of what I did - other info is classified to the public
Jupyter Notebook 1
-
HR-Job-Change-Prediction-
HR-Job-Change-Prediction- PublicBuilt models using the FY2024 credentials, demographics, and work experience related data, to predict the probability that WBG candidates are looking for a new job, as well as interpret the main fa…
Jupyter Notebook 1
If the problem persists, check the GitHub status page or contact support.