Pinned Loading
-
ML-Exercise_Cervical-Cancer_Classification
ML-Exercise_Cervical-Cancer_Classification PublicMachine Learning Exercise: Using Logistic Regression, KNN and Decision Tree to classify Biopsy on Cleaned Cervical Cancer data from Kaggle
Jupyter Notebook 2
-
FTW-Capstone_Second-Hand-Cars-in-PH
FTW-Capstone_Second-Hand-Cars-in-PH PublicThis 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.
-
ML-Exercise_Advertising_Linear-Regression
ML-Exercise_Advertising_Linear-Regression PublicMachine Learning Exercise: Using Linear Regression to predict Sales on Advertising data from Kaggle
Jupyter Notebook 4
-
ML-Exercise_Lymphography_Classification
ML-Exercise_Lymphography_Classification PublicMachine Learning Exercise: Exploring the concept of Upsampling / Oversampling and using KNN, Decision Tree and Random Forest to predict Class on Lymphography data from UCI.
-
ML-Exercise_Pima-Indians-Diabetes_Classification
ML-Exercise_Pima-Indians-Diabetes_Classification PublicMachine Learning Exercise: Using Logistic Regression, Naive Bayes and Random Forest to classify people with and without diabetes based on Pima Indian data from Kaggle
-
ML-Exercise_Telco-Customer-Churn_Classification
ML-Exercise_Telco-Customer-Churn_Classification PublicMachine Learning Exercise: Exploring categorical plots, LabelEncoder, pipelines and GridSearchCV using Telco Customer Churn data from Kaggle
Jupyter Notebook 2
If the problem persists, check the GitHub status page or contact support.