nicolelumagui/ML-Exercise_Cervical-Cancer_Classification

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nicolelumagui/ML-Exercise_Cervical-Cancer_Classification

nicolelumagui

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Machine Learning Exercise: Using Logistic Regression, KNN and Decision Tree to classify Biopsy on Cleaned Cervical Cancer data from Kaggle

ML-Exercise_Advertising_Linear-Regression

Machine Learning Exercise: Using Linear Regression to predict Sales on Advertising data from Kaggle

Jupyter Notebook

ML-Exercise_Telco-Customer-Churn_Classification

Machine Learning Exercise: Exploring categorical plots, LabelEncoder, pipelines and GridSearchCV using Telco Customer Churn data from Kaggle

Jupyter Notebook

ML-Exercise_Pima-Indians-Diabetes_Classification

Machine Learning Exercise: Using Logistic Regression, Naive Bayes and Random Forest to classify people with and without diabetes based on Pima Indian data from Kaggle

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FTW-Capstone_Second-Hand-Cars-in-PH

This is a capstone project for FTW Foundation Data Science program that predicts the price of second-hand cars, and created by Elyse Go, Nicole Lumagui, Bernadette Misa and Jero Santos.

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