Umang Prajapati

Iris dataset prediction model with accuracy evaluation and machine learning classification.

Predict future sales based on advertising spend across TV, Radio, and Newspaper channels. Analyze how advertising influences sales performance and provide actionable business recommendations to optimize marketing strategies.

This project focuses on analyzing sales data to identify business trends, customer behavior, and revenue performance. The objective is to transform raw sales data into meaningful insights that can help improve business decision-making.

Exploratory Data Analysis (EDA) was performed on the Titanic dataset to understand the structure, patterns, and relationships between different variables affecting passenger survival.

practical workflow you can follow to perform statistical plots & distribution analysis [ using Python with Matplotlib and Seaborn ]

"Machine Learning project to predict customer churn in the telecom industry using Python and classification algorithms."