CyberSoft Machine Learning 03 - Descriptive Statistics
-
Updated
Jan 15, 2025 - Jupyter Notebook
CyberSoft Machine Learning 03 - Descriptive Statistics
The goal of this problem is to predict the Price of an Old car based on the variables provided in the data set.
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.
Financial Transaction Fraud Detection System
Leveraging machine learning techniques to predict the likelihood of heart failure in patients based on a comprehensive dataset of patient information sourced from Kaggle.
A machine learning project that predicts structural cracks in buildings using a Random Forest Classifier. It analyzes material, environmental, and construction features to identify risk and support safer engineering decisions.
Add a description, image, and links to the onehotencoding topic page so that developers can more easily learn about it.
To associate your repository with the onehotencoding topic, visit your repo's landing page and select "manage topics."