Predicting Churn with Logistic Regression
Explore, analyze, and build a logistic regression model to predict customers churn of an internet provider dataset using Python library Scikit-Learn.
Data analyst skilled in Spreadsheet, SQL, Python, and Tableau.
Hello! My name is Sepri Salim, I hold an associate degree in mechanical engineering and currently pursuing my bachelor degree in Industrial Engineering.
Currently I work as a field operator/technician at an SOE company engaged in natural gas processing. I'm highly self-motivated, goal-oriented, and possessing strong technical skills rooted in work experience as field operator/technician.
I'm passionate in learning new things and determined to improve my technical skills in data analytics and recently completed a 3-months full stack data analytics program from RevoU with acceptance rate <10%.
Comfortable with end-to-end data analytics, from defining and translating business problems, gathering, processing, and analyzing data into actionable items, and delivering results.
Explore, analyze, and build a logistic regression model to predict customers churn of an internet provider dataset using Python library Scikit-Learn.
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