compliance_tableau_dashboard

This project provides a dashboard that informs stakeholders of hospital metrics, patient demographics, and health trends. It aims to help decision-makers identify opportunities for improving patient outcomes and reducing readmission rates, among other metrics.

customer_bandwidth_prediction_model

This repository contains the code and data files for predicting customer bandwidth usage for a telecom company using a multiple linear regression model.

customer_churn_analysis_knn

This project analyzes customer churn for a telecom company using machine learning techniques. The goal is to predict which customers are at risk of churning and identify the most important factors that contribute to churn.

customer_churn_prediction_random_forest

The project is focused on predicting customer churn for a telecom company using random forest regression.

jlopez873

medica_general_tableau_dashboard

Medica General Dashboard is a Tableau project that tracks the readmission rates, patient statistics, and demographics of a hospital. The dashboard provides a comprehensive overview of the hospital's performance, as well as detailed information on patient demographics, medical conditions, and initial services.

multiple_linear_regression_of_bike_ridership_data

rideshare_modeling

This repository contains the code and data for a project focused on improving the prediction accuracy of rideshare demand in New York City during the Covid-19 pandemic.

sentiment_analysis_using_neural_networks

teleco_association_rules_and_lift_analysis

This repository contains the analysis of Teleco's e-commerce transactions to identify item associations and frequent itemsets using MLXtend's Apriori and Association Rules algorithms. The goal is to leverage these findings to design targeted marketing campaigns and create special offers or bundles.

telecom_churn_analysis

This repository contains the code and data files for a churn analysis project, aimed at identifying key variables that contribute to customer churn.

telecom_churn_analysis_dimensionality_reduction_methods_pca

This project focuses on reducing the dimensionality of customer data for a telecom company using Principal Component Analysis (PCA).

telecom_churn_analysis_using_clustering_techniques_kmeans

This project analyzes customer churn for a telecommunications company using clustering techniques. The goal is to segment the customers into distinct groups based on their characteristics, allowing for better understanding of customer behaviors and targeted marketing campaigns.

telecom_churn_exploratory_analysis

This project contains the Exploratory Data Analysis (EDA) of a telecommunication company's customer churn data. The main objective is to identify the key factors that impact customer churn and provide insights to stakeholders for creating action plans to reduce churn.

telecom_customer_churn_prediction

This project aims to predict customer churn for a telecom company using logistic regression models. We clean and transform the data, create an initial logistic regression model, perform step-forward feature selection, and finally create a reduced logistic regression model for better interpretability.

telecom_market_analysis_age_groups

This project aims to analyze the telecom market, focusing on customer demographics and their preferences for multiple telecom services. The goal is to identify age groups that are most likely to have multiple telecom services and understand their sentiment regarding the number of options they have.

telecom_revenue_time_series_forecasting