This repository contains two notebooks showcasing basic Machine Learning tasks using Linear Regression and Clustering.
-
Updated
Jan 1, 2025 - Jupyter Notebook
This repository contains two notebooks showcasing basic Machine Learning tasks using Linear Regression and Clustering.
FinTech Mod 10- assembling investment portfolios based on cryptocurrencies; Jupyter notebook that clusters by performance in different time periods.
This repository provides a detailed collection of Python scripts and notebooks for implementing various machine learning algorithms. It includes theoretical explanations, practical examples, and end-to-end implementations of both supervised and unsupervised learning techniques
This Python notebook demonstrates an exploratory data analysis (EDA) and clustering exercise using the pandas, seaborn, and matplotlib libraries. The code works with a dataset called 'College_Data' and explores college-related attributes, including 'Private' status, graduation rates, and enrollment data.
Add a description, image, and links to the kmeans-clustering-algorithm topic page so that developers can more easily learn about it.
To associate your repository with the kmeans-clustering-algorithm topic, visit your repo's landing page and select "manage topics."