Machine learning models trained on U.S. Census data to classify income levels, including preprocessing, PCA, SVD, and evaluation with MLP, logistic regression, and Naïve Bayes.
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Updated
May 12, 2025 - Jupyter Notebook
Machine learning models trained on U.S. Census data to classify income levels, including preprocessing, PCA, SVD, and evaluation with MLP, logistic regression, and Naïve Bayes.
The goal of this problem is to predict the Price of an Old car based on the variables provided in the data set.
CyberSoft Machine Learning 03 - Descriptive Statistics
Leveraging machine learning techniques to predict the likelihood of heart failure in patients based on a comprehensive dataset of patient information sourced from Kaggle.
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