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GitHub / Edanur-Y 1 Repository

Edanur-Y/Bank-Customer-Churn-Prediction-with-Classification-Models

Comparing the performances of multi-layer perceptron, decision tree, random forest, gradient boosting and extreme gradient boosting classifications on customer data to predict their status of exiting the bank.

Language: Jupyter Notebook - Size: 1.24 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

Edanur-Y/Privatization-In-Turkey-Last-35-Years

Visualizing privatizations in Turkey in the last 35 years.

Size: 1000 KB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

Edanur-Y/Portfolio-Guide

Size: 3.91 KB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

Edanur-Y/Mimarlik-Ofisi-Gorev-Takip-Sistemi

Language: TSQL - Size: 34.2 KB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

Edanur-Y/Edanur-Y

profile repo

Size: 5.86 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

Edanur-Y/Streamlit-Turkish-Sentiment-App

Language: Python - Size: 873 KB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Edanur-Y/Cramer-s-V-and-ETA-Correlation-Ratio-Examples

Testing correlation between two categorical variables and testing correlation between a non-dichotomous categorical variable and a quantitative variable. ⭕SPSS

Size: 257 KB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Edanur-Y/Variable-Analysis-of-Banks-Ratio-Data

Testing variables for multicollinearity, multivariate normality and analyzing outliers and missing values. ⭕SPSS 🔵R

Size: 1.16 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Edanur-Y/Laptop-Price-Prediction-with-Regression-Models

Comparing the performances of multi-layer perceptron, k-nearest neighbors, random forest, gradient boosting and extreme gradient boosting regression and on laptop data to predict the price.

Language: Jupyter Notebook - Size: 51.8 KB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Edanur-Y/Abalone-Age-Prediction-with-Regression-Models

Comparing the performances of simple linear, multiple linear, multi-layer perceptron and k-nearest neighbors regressions on abalone data to predict the age.

Language: Jupyter Notebook - Size: 615 KB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Edanur-Y/Airline-Customer-Satisfaction-Prediction-with-Multiple-Logistic-Regression

Performing multiple logistic regression analysis on airline and customer data to predict the satisfaction. 🔵R

Size: 23.4 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Edanur-Y/Agricultural-Yield-Prediction-with-Multiple-Linear-Regression

Performing multiple linear regression analysis on agricultural data to predict the yield.

Size: 27.3 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0