scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license.
Oct 26, 2023
R was used to predict employee attrition based on IBM employee data. Report details data cleansing, classification (Chi-Square,Pearson Correlation), feature selection(Random Forest), Prediction (Support Vector Machines, Logistic Regression, Random Forest, Neural Networks, Decision Trees). Model performance was measured using AUC (area under the ROC curve) to account for sensitivity and specificity.
Oct 1, 2022
Engineered an ETL pipeline for mass price changes via Python, PriceFX REST API and SQL to create a full end to end mass price change process.
Jan 21, 2022
R was used to predict employee attrition based on IBM employee data. Report details data cleansing, classification (Chi-Square,Pearson Correlation), feature selection(Random Forest), Prediction (Support Vector Machines, Logistic Regression, Random Forest, Neural Networks, Decision Trees). Model performance was measured using AUC (area under the ROC curve) to account for sensitivity and specificity.
Mar 1, 2019