GitHub - artystkaProgramistka/Customer_Churn_Prediction: Machine Learning Project done for the university subject. The main goal of the project is to predict customer churn for subscription based services.

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
PUM/.idea		PUM/.idea
__pycache__		__pycache__
Dockerfile		Dockerfile
Struktura Projektu Końcowego.pdf		Struktura Projektu Końcowego.pdf
all_confusion_matrices.png		all_confusion_matrices.png
box_plots.png		box_plots.png
build_docker.sh		build_docker.sh
correlation_matrix.png		correlation_matrix.png
customer_churn.csv		customer_churn.csv
customer_churn_distinct_without_outliers.csv		customer_churn_distinct_without_outliers.csv
customer_churn_undersampled.csv		customer_churn_undersampled.csv
data_checks.py		data_checks.py
data_checks_conclusions.txt		data_checks_conclusions.txt
data_types.csv		data_types.csv
descriptive_stats.csv		descriptive_stats.csv
duplicates.csv		duplicates.csv
extreme_outliers.csv		extreme_outliers.csv
get_statistics.py		get_statistics.py
histograms.png		histograms.png
initial_data_checks_report.txt		initial_data_checks_report.txt
mild_outliers.csv		mild_outliers.csv
model_accuracies.png		model_accuracies.png
outliers.csv		outliers.csv
pca_explained_variance.png		pca_explained_variance.png
read_and_preprocess_data.py		read_and_preprocess_data.py
requirements.txt		requirements.txt
run_docker.sh		run_docker.sh
simple_models.py		simple_models.py
start.txt		start.txt
undersampling.py		undersampling.py