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Machine Learning Projects: Insights Through Data Analysis
Machine Learning Projects: Insights Through Data Analysis
Explore two impactful machine learning projects that demonstrate applying regression and classification techniques to real-world data.
Click on the pictures below to explore each project and uncover the data-driven insights.
Tools: Python, Jupytor Notebook
Libraries: Pandas, NumPy, Statsmodels, Matplotlib, Scikit-Learn
Predicting Album Sales
Predicting Album Sales
This project uses regression models to predict album sales based on advertising budget, airplay time, and band attractiveness. Dive deeper into how linear and multiple regression techniques are applied to understand the key drivers of album sales.
Predicting Income Levels
Predicting Income Levels
This project uses classification models such as decision trees and Naive Bayes to predict whether a person’s income exceeds $50,000 based on census data features. Learn how different models are evaluated for accuracy and performance in this income classification task.
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