Analyzing advertising channel impacts (TV, Radio, Newspaper) on sales. Employing Linear Regression model for predictive analysis, with visualization of results.

Analyzing Iris dataset with SVM and Random Forest models. Assessing performance with confusion matrices and ROC curves.

This project aimed to compare the performance and stability of three models applied to the Titanic dataset: Linear, Logistic Regression, and K-means clustering.

"This project involved analyzing bike sales data to gain insights into sales performance and customer demographics, presented through a Power BI dashboard."

In this analysis, we will analyze the Hotel Bookings dataset to gain insights from reservation patterns of customers using Python programming language.

The Sales Analysis Project employs SQL and Power BI to analyze sales data, identify trends, and create interactive reports for data-driven business operations.

Human Resources data was collected, explored, wrangled, and analyzed. Based on the findings, I wrote a summary. The report depicts every element of the workers.